submission.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "\n",
    "import matplotlib.pylab as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import torch\n",
    "from transformers import (\n",
    "    VisionEncoderDecoderModel,\n",
    "    default_data_collator,\n",
    "    TrOCRProcessor,\n",
    ")\n",
    "from transformers import Seq2SeqTrainer, Seq2SeqTrainingArguments\n",
    "from datasets import load_metric\n",
    "\n",
    "from sequence_mnist.model import SequenceMNIST\n",
    "from tests.test_sequence_mnist import test_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_sample()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of VisionEncoderDecoderModel were not initialized from the model checkpoint at microsoft/trocr-small-printed and are newly initialized: ['encoder.pooler.dense.weight', 'encoder.pooler.dense.bias']\n",
      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
     ]
    }
   ],
   "source": [
    "model = VisionEncoderDecoderModel.from_pretrained(\n",
    "    \"microsoft/trocr-small-printed\", num_labels=10\n",
    ")\n",
    "processor = TrOCRProcessor.from_pretrained(\"microsoft/trocr-small-printed\")\n",
    "train_dataset = SequenceMNIST(\n",
    "    train=True, processor=processor, root=\"/tmp/data\", download=True\n",
    ")\n",
    "test_dataset = SequenceMNIST(\n",
    "    train=False, processor=processor, root=\"/tmp/data\", download=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tokens for creating the decoder_input_ids from the labels\n",
    "model.config.decoder_start_token_id = processor.tokenizer.cls_token_id\n",
    "model.config.pad_token_id = processor.tokenizer.pad_token_id\n",
    "# Vocab size is the number of integers 0-9\n",
    "model.config.vocab_size = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "training_args = Seq2SeqTrainingArguments(\n",
    "    predict_with_generate=True,\n",
    "    evaluation_strategy=\"steps\",\n",
    "    per_device_train_batch_size=8,\n",
    "    per_device_eval_batch_size=8,\n",
    "    output_dir=\"results/\",\n",
    "    logging_steps=2,\n",
    "    save_steps=1000,\n",
    "    num_train_epochs=2,\n",
    "    eval_steps=200,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "### HUGGING FACE\n",
    "\n",
    "metric = load_metric(\"accuracy\")\n",
    "\n",
    "def compute_metrics(eval_pred):\n",
    "    logits, labels = eval_pred\n",
    "    predictions = np.argmax(logits, axis=-1)\n",
    "    return metric.compute(predictions=predictions, references=labels)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainer = Seq2SeqTrainer(\n",
    "    model=model,\n",
    "    tokenizer=processor.feature_extractor,\n",
    "    args=training_args,\n",
    "    compute_metrics=compute_metrics,\n",
    "    train_dataset=train_dataset,\n",
    "    eval_dataset=test_dataset,\n",
    "    data_collator=default_data_collator,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning\n",
      "  warnings.warn(\n",
      "***** Running training *****\n",
      "  Num examples = 12000\n",
      "  Num Epochs = 2\n",
      "  Instantaneous batch size per device = 8\n",
      "  Total train batch size (w. parallel, distributed & accumulation) = 8\n",
      "  Gradient Accumulation steps = 1\n",
      "  Total optimization steps = 3000\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
      "To disable this warning, you can either:\n",
      "\t- Avoid using `tokenizers` before the fork if possible\n",
      "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/3000 [00:00<?, ?it/s]The following columns in the training set don't have a corresponding argument in `VisionEncoderDecoderModel.forward` and have been ignored: text. If text are not expected by `VisionEncoderDecoderModel.forward`,  you can safely ignore this message.\n",
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     ]
    },
    {
     "name": "stdout",
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      "{'loss': 10.7245, 'learning_rate': 4.996666666666667e-05, 'epoch': 0.0}\n"
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     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m/Users/maia/Documents/GitHub/professional/job_take_homes/starling/sequence-mnist/submission.ipynb Cell 8'\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/maia/Documents/GitHub/professional/job_take_homes/starling/sequence-mnist/submission.ipynb#ch0000030?line=0'>1</a>\u001b[0m trainer\u001b[39m.\u001b[39;49mtrain()\n",
      "File \u001b[0;32m~/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py:1409\u001b[0m, in \u001b[0;36mTrainer.train\u001b[0;34m(self, resume_from_checkpoint, trial, ignore_keys_for_eval, **kwargs)\u001b[0m\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1403'>1404</a>\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmodel_wrapped \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mmodel\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1405'>1406</a>\u001b[0m inner_training_loop \u001b[39m=\u001b[39m find_executable_batch_size(\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1406'>1407</a>\u001b[0m     \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_inner_training_loop, \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_train_batch_size, args\u001b[39m.\u001b[39mauto_find_batch_size\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1407'>1408</a>\u001b[0m )\n\u001b[0;32m-> <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1408'>1409</a>\u001b[0m \u001b[39mreturn\u001b[39;00m inner_training_loop(\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1409'>1410</a>\u001b[0m     args\u001b[39m=\u001b[39;49margs,\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1410'>1411</a>\u001b[0m     resume_from_checkpoint\u001b[39m=\u001b[39;49mresume_from_checkpoint,\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1411'>1412</a>\u001b[0m     trial\u001b[39m=\u001b[39;49mtrial,\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1412'>1413</a>\u001b[0m     ignore_keys_for_eval\u001b[39m=\u001b[39;49mignore_keys_for_eval,\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1413'>1414</a>\u001b[0m )\n",
      "File \u001b[0;32m~/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py:1651\u001b[0m, in \u001b[0;36mTrainer._inner_training_loop\u001b[0;34m(self, batch_size, args, resume_from_checkpoint, trial, ignore_keys_for_eval)\u001b[0m\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1648'>1649</a>\u001b[0m         tr_loss_step \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mtraining_step(model, inputs)\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1649'>1650</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m-> <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1650'>1651</a>\u001b[0m     tr_loss_step \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtraining_step(model, inputs)\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1652'>1653</a>\u001b[0m \u001b[39mif\u001b[39;00m (\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1653'>1654</a>\u001b[0m     args\u001b[39m.\u001b[39mlogging_nan_inf_filter\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1654'>1655</a>\u001b[0m     \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m is_torch_tpu_available()\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1655'>1656</a>\u001b[0m     \u001b[39mand\u001b[39;00m (torch\u001b[39m.\u001b[39misnan(tr_loss_step) \u001b[39mor\u001b[39;00m torch\u001b[39m.\u001b[39misinf(tr_loss_step))\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1656'>1657</a>\u001b[0m ):\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1657'>1658</a>\u001b[0m     \u001b[39m# if loss is nan or inf simply add the average of previous logged losses\u001b[39;00m\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=1658'>1659</a>\u001b[0m     tr_loss \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m tr_loss \u001b[39m/\u001b[39m (\u001b[39m1\u001b[39m \u001b[39m+\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mstate\u001b[39m.\u001b[39mglobal_step \u001b[39m-\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39m_globalstep_last_logged)\n",
      "File \u001b[0;32m~/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py:2363\u001b[0m, in \u001b[0;36mTrainer.training_step\u001b[0;34m(self, model, inputs)\u001b[0m\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=2360'>2361</a>\u001b[0m     loss \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mdeepspeed\u001b[39m.\u001b[39mbackward(loss)\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=2361'>2362</a>\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m-> <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=2362'>2363</a>\u001b[0m     loss\u001b[39m.\u001b[39;49mbackward()\n\u001b[1;32m   <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/transformers/trainer.py?line=2364'>2365</a>\u001b[0m \u001b[39mreturn\u001b[39;00m loss\u001b[39m.\u001b[39mdetach()\n",
      "File \u001b[0;32m~/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/_tensor.py:363\u001b[0m, in \u001b[0;36mTensor.backward\u001b[0;34m(self, gradient, retain_graph, create_graph, inputs)\u001b[0m\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/_tensor.py?line=353'>354</a>\u001b[0m \u001b[39mif\u001b[39;00m has_torch_function_unary(\u001b[39mself\u001b[39m):\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/_tensor.py?line=354'>355</a>\u001b[0m     \u001b[39mreturn\u001b[39;00m handle_torch_function(\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/_tensor.py?line=355'>356</a>\u001b[0m         Tensor\u001b[39m.\u001b[39mbackward,\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/_tensor.py?line=356'>357</a>\u001b[0m         (\u001b[39mself\u001b[39m,),\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/_tensor.py?line=360'>361</a>\u001b[0m         create_graph\u001b[39m=\u001b[39mcreate_graph,\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/_tensor.py?line=361'>362</a>\u001b[0m         inputs\u001b[39m=\u001b[39minputs)\n\u001b[0;32m--> <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/_tensor.py?line=362'>363</a>\u001b[0m torch\u001b[39m.\u001b[39;49mautograd\u001b[39m.\u001b[39;49mbackward(\u001b[39mself\u001b[39;49m, gradient, retain_graph, create_graph, inputs\u001b[39m=\u001b[39;49minputs)\n",
      "File \u001b[0;32m~/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/autograd/__init__.py:173\u001b[0m, in \u001b[0;36mbackward\u001b[0;34m(tensors, grad_tensors, retain_graph, create_graph, grad_variables, inputs)\u001b[0m\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/autograd/__init__.py?line=167'>168</a>\u001b[0m     retain_graph \u001b[39m=\u001b[39m create_graph\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/autograd/__init__.py?line=169'>170</a>\u001b[0m \u001b[39m# The reason we repeat same the comment below is that\u001b[39;00m\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/autograd/__init__.py?line=170'>171</a>\u001b[0m \u001b[39m# some Python versions print out the first line of a multi-line function\u001b[39;00m\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/autograd/__init__.py?line=171'>172</a>\u001b[0m \u001b[39m# calls in the traceback and some print out the last line\u001b[39;00m\n\u001b[0;32m--> <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/autograd/__init__.py?line=172'>173</a>\u001b[0m Variable\u001b[39m.\u001b[39;49m_execution_engine\u001b[39m.\u001b[39;49mrun_backward(  \u001b[39m# Calls into the C++ engine to run the backward pass\u001b[39;49;00m\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/autograd/__init__.py?line=173'>174</a>\u001b[0m     tensors, grad_tensors_, retain_graph, create_graph, inputs,\n\u001b[1;32m    <a href='file:///Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/torch/autograd/__init__.py?line=174'>175</a>\u001b[0m     allow_unreachable\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m, accumulate_grad\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "trainer.train()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def predict(model, pixel_values, **kwargs):\n",
    "    generated_ids = model.generate(pixel_values.unsqueeze(dim=0))\n",
    "    generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)[0]\n",
    "    print(f'Prediction: {generated_text}, Sample: {kwargs}')\n",
    "    return generated_text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Prediction: 548, Sample: {'labels': tensor([    0, 45578,  7127,     2,  -100]), 'text': '54025'}\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'548'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Predict a single instance\n",
    "predict(model=model, **test_dataset[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "torch.save(model.state_dict(), 'results/mnist_trained_trocr.pth')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarity metric isn't perfect as it doesn't account for order - but good enough proxy for quick eval."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [],
   "source": [
    "def string_similarity(base_string: str, comp_string: str) -> float:\n",
    "    base_dict = dict(Counter(base_string))\n",
    "    for key in base_dict:\n",
    "        comp_count = comp_string.count(key)\n",
    "        gt_count = base_dict[key]\n",
    "        base_dict[key] -= comp_count if comp_count <= gt_count else gt_count\n",
    "\n",
    "    return 1 - sum(base_dict.values()) / (len(base_string) + 1e-9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [],
   "source": [
    "def eval_metrics(pred: str, gt: str) -> dict:\n",
    "\n",
    "    correct = True if pred == gt else False\n",
    "    similarity = (\n",
    "        string_similarity(base_string=gt, comp_string=pred) if len(pred) > 0 else 0.0\n",
    "    )\n",
    "\n",
    "    return {\"Correct\": correct, \"Similarity\": similarity}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Label: 51133, Prediction: 51133, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '51133', 'Ground Truth': '51133'}\n",
      "Label: 21617, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21617'}\n",
      "Label: 34639, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34639'}\n",
      "Label: 23710, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23710'}\n",
      "Label: 00675, Prediction: 00675, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00675', 'Ground Truth': '00675'}\n",
      "Label: 56967, Prediction: 5698, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '5698', 'Ground Truth': '56967'}\n",
      "Label: 37310, Prediction: 3730, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3730', 'Ground Truth': '37310'}\n",
      "Label: 90828, Prediction: 70828, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '70828', 'Ground Truth': '90828'}\n",
      "Label: 39661, Prediction: 39661, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39661', 'Ground Truth': '39661'}\n",
      "Label: 25487, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '25487'}\n",
      "Label: 93046, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '93046'}\n",
      "Label: 74283, Prediction: 74283, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74283', 'Ground Truth': '74283'}\n",
      "Label: 67134, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '67134'}\n",
      "Label: 02063, Prediction: 02063, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '02063', 'Ground Truth': '02063'}\n",
      "Label: 99227, Prediction: 99227, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99227', 'Ground Truth': '99227'}\n",
      "Label: 37119, Prediction: 37179, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '37179', 'Ground Truth': '37119'}\n",
      "Label: 42721, Prediction: 42721, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42721', 'Ground Truth': '42721'}\n",
      "Label: 79483, Prediction: 79483, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79483', 'Ground Truth': '79483'}\n",
      "Label: 04861, Prediction: 04861, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '04861', 'Ground Truth': '04861'}\n",
      "Label: 58159, Prediction: 58159, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '58159', 'Ground Truth': '58159'}\n",
      "Label: 66906, Prediction: 66906, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66906', 'Ground Truth': '66906'}\n",
      "Label: 08512, Prediction: 00312, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '00312', 'Ground Truth': '08512'}\n",
      "Label: 18619, Prediction: 1886, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '1886', 'Ground Truth': '18619'}\n",
      "Label: 46006, Prediction: 46006, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '46006', 'Ground Truth': '46006'}\n",
      "Label: 02175, Prediction: 02175, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '02175', 'Ground Truth': '02175'}\n",
      "Label: 51833, Prediction: 51833, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '51833', 'Ground Truth': '51833'}\n",
      "Label: 64931, Prediction: 64931, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64931', 'Ground Truth': '64931'}\n",
      "Label: 18472, Prediction: 18470, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '18470', 'Ground Truth': '18472'}\n",
      "Label: 71932, Prediction: 71932, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71932', 'Ground Truth': '71932'}\n",
      "Label: 05039, Prediction: 05039, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05039', 'Ground Truth': '05039'}\n",
      "Label: 99017, Prediction: 99017, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99017', 'Ground Truth': '99017'}\n",
      "Label: 77624, Prediction: 77404, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '77404', 'Ground Truth': '77624'}\n",
      "Label: 00579, Prediction: 00379, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '00379', 'Ground Truth': '00579'}\n",
      "Label: 26055, Prediction: 26035, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '26035', 'Ground Truth': '26055'}\n",
      "Label: 43603, Prediction: 43603, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '43603', 'Ground Truth': '43603'}\n",
      "Label: 82826, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '82826'}\n",
      "Label: 12495, Prediction: 02495, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '02495', 'Ground Truth': '12495'}\n",
      "Label: 54528, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '54528'}\n",
      "Label: 56830, Prediction: 56330, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '56330', 'Ground Truth': '56830'}\n",
      "Label: 18058, Prediction: 18058, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18058', 'Ground Truth': '18058'}\n",
      "Label: 08888, Prediction: 28880, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '28880', 'Ground Truth': '08888'}\n",
      "Label: 77237, Prediction: 77231, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '77231', 'Ground Truth': '77237'}\n",
      "Label: 51522, Prediction: 51522, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '51522', 'Ground Truth': '51522'}\n",
      "Label: 89549, Prediction: 89449, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '89449', 'Ground Truth': '89549'}\n",
      "Label: 00558, Prediction: 00388, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '00388', 'Ground Truth': '00558'}\n",
      "Label: 33973, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '33973'}\n",
      "Label: 80984, Prediction: 80984, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80984', 'Ground Truth': '80984'}\n",
      "Label: 40438, Prediction: 40438, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40438', 'Ground Truth': '40438'}\n",
      "Label: 26076, Prediction: 26076, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '26076', 'Ground Truth': '26076'}\n",
      "Label: 59127, Prediction: 59127, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59127', 'Ground Truth': '59127'}\n",
      "Label: 09489, Prediction: 09489, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09489', 'Ground Truth': '09489'}\n",
      "Label: 72220, Prediction: 72220, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72220', 'Ground Truth': '72220'}\n",
      "Label: 61173, Prediction: 61773, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '61773', 'Ground Truth': '61173'}\n",
      "Label: 71968, Prediction: 71908, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '71908', 'Ground Truth': '71968'}\n",
      "Label: 71010, Prediction: 710, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '710', 'Ground Truth': '71010'}\n",
      "Label: 95731, Prediction: 98731, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '98731', 'Ground Truth': '95731'}\n",
      "Label: 29142, Prediction: 29140, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '29140', 'Ground Truth': '29142'}\n",
      "Label: 69823, Prediction: 69820, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '69820', 'Ground Truth': '69823'}\n",
      "Label: 88043, Prediction: 88043, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '88043', 'Ground Truth': '88043'}\n",
      "Label: 60026, Prediction: 60026, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60026', 'Ground Truth': '60026'}\n",
      "Label: 21615, Prediction: 21115, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '21115', 'Ground Truth': '21615'}\n",
      "Label: 65885, Prediction: 65005, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '65005', 'Ground Truth': '65885'}\n",
      "Label: 25938, Prediction: 25937, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '25937', 'Ground Truth': '25938'}\n",
      "Label: 38332, Prediction: 38332, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '38332', 'Ground Truth': '38332'}\n",
      "Label: 85176, Prediction: 85176, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85176', 'Ground Truth': '85176'}\n",
      "Label: 68740, Prediction: 69740, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '69740', 'Ground Truth': '68740'}\n",
      "Label: 73353, Prediction: 73353, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '73353', 'Ground Truth': '73353'}\n",
      "Label: 11048, Prediction: 11048, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11048', 'Ground Truth': '11048'}\n",
      "Label: 30024, Prediction: 30024, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '30024', 'Ground Truth': '30024'}\n",
      "Label: 80596, Prediction: 80596, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80596', 'Ground Truth': '80596'}\n",
      "Label: 15971, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '15971'}\n",
      "Label: 78764, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '78764'}\n",
      "Label: 98701, Prediction: 98701, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '98701', 'Ground Truth': '98701'}\n",
      "Label: 89564, Prediction: 89564, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '89564', 'Ground Truth': '89564'}\n",
      "Label: 74207, Prediction: 74207, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74207', 'Ground Truth': '74207'}\n",
      "Label: 64033, Prediction: 64033, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64033', 'Ground Truth': '64033'}\n",
      "Label: 16570, Prediction: 16570, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16570', 'Ground Truth': '16570'}\n",
      "Label: 26500, Prediction: 26500, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '26500', 'Ground Truth': '26500'}\n",
      "Label: 13306, Prediction: 13306, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '13306', 'Ground Truth': '13306'}\n",
      "Label: 55709, Prediction: 55709, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '55709', 'Ground Truth': '55709'}\n",
      "Label: 63659, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '63659'}\n",
      "Label: 13763, Prediction: 13763, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '13763', 'Ground Truth': '13763'}\n",
      "Label: 23080, Prediction: 23080, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '23080', 'Ground Truth': '23080'}\n",
      "Label: 22859, Prediction: 22859, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '22859', 'Ground Truth': '22859'}\n",
      "Label: 02235, Prediction: 02225, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '02225', 'Ground Truth': '02235'}\n",
      "Label: 68587, Prediction: 69387, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '69387', 'Ground Truth': '68587'}\n",
      "Label: 41370, Prediction: 41370, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '41370', 'Ground Truth': '41370'}\n",
      "Label: 32555, Prediction: 32505, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '32505', 'Ground Truth': '32555'}\n",
      "Label: 65688, Prediction: 65888, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '65888', 'Ground Truth': '65688'}\n",
      "Label: 65416, Prediction: 65416, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '65416', 'Ground Truth': '65416'}\n",
      "Label: 85392, Prediction: 85302, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '85302', 'Ground Truth': '85392'}\n",
      "Label: 03226, Prediction: 03226, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '03226', 'Ground Truth': '03226'}\n",
      "Label: 25499, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '25499'}\n",
      "Label: 89383, Prediction: 89383, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '89383', 'Ground Truth': '89383'}\n",
      "Label: 38261, Prediction: 38261, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '38261', 'Ground Truth': '38261'}\n",
      "Label: 89504, Prediction: 79304, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '79304', 'Ground Truth': '89504'}\n",
      "Label: 67964, Prediction: 67964, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67964', 'Ground Truth': '67964'}\n",
      "Label: 05890, Prediction: 05890, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05890', 'Ground Truth': '05890'}\n",
      "Label: 19889, Prediction: 19889, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '19889', 'Ground Truth': '19889'}\n",
      "Label: 42609, Prediction: 42609, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42609', 'Ground Truth': '42609'}\n",
      "Label: 35415, Prediction: 35415, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35415', 'Ground Truth': '35415'}\n",
      "Label: 16631, Prediction: 1663, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1663', 'Ground Truth': '16631'}\n",
      "Label: 50129, Prediction: 50129, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50129', 'Ground Truth': '50129'}\n",
      "Label: 81276, Prediction: 81276, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81276', 'Ground Truth': '81276'}\n",
      "Label: 44155, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44155'}\n",
      "Label: 57229, Prediction: 07229, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '07229', 'Ground Truth': '57229'}\n",
      "Label: 09489, Prediction: 09489, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09489', 'Ground Truth': '09489'}\n",
      "Label: 67820, Prediction: 67820, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67820', 'Ground Truth': '67820'}\n",
      "Label: 66384, Prediction: 66384, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66384', 'Ground Truth': '66384'}\n",
      "Label: 90335, Prediction: 90335, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '90335', 'Ground Truth': '90335'}\n",
      "Label: 52216, Prediction: 52216, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52216', 'Ground Truth': '52216'}\n",
      "Label: 92855, Prediction: 928, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '928', 'Ground Truth': '92855'}\n",
      "Label: 00122, Prediction: 00122, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00122', 'Ground Truth': '00122'}\n",
      "Label: 62271, Prediction: 62271, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '62271', 'Ground Truth': '62271'}\n",
      "Label: 59516, Prediction: 59516, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59516', 'Ground Truth': '59516'}\n",
      "Label: 43019, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43019'}\n",
      "Label: 99025, Prediction: 99025, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99025', 'Ground Truth': '99025'}\n",
      "Label: 67057, Prediction: 67057, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67057', 'Ground Truth': '67057'}\n",
      "Label: 44797, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44797'}\n",
      "Label: 00361, Prediction: 00361, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00361', 'Ground Truth': '00361'}\n",
      "Label: 53711, Prediction: 5371, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '5371', 'Ground Truth': '53711'}\n",
      "Label: 93668, Prediction: 9366, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9366', 'Ground Truth': '93668'}\n",
      "Label: 50707, Prediction: 50707, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50707', 'Ground Truth': '50707'}\n",
      "Label: 49374, Prediction: 49374, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '49374', 'Ground Truth': '49374'}\n",
      "Label: 06401, Prediction: 06401, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06401', 'Ground Truth': '06401'}\n",
      "Label: 55132, Prediction: 55132, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '55132', 'Ground Truth': '55132'}\n",
      "Label: 37162, Prediction: 37162, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '37162', 'Ground Truth': '37162'}\n",
      "Label: 86488, Prediction: 96888, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '96888', 'Ground Truth': '86488'}\n",
      "Label: 14670, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14670'}\n",
      "Label: 06108, Prediction: 06108, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06108', 'Ground Truth': '06108'}\n",
      "Label: 23032, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23032'}\n",
      "Label: 04323, Prediction: 043, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '043', 'Ground Truth': '04323'}\n",
      "Label: 01513, Prediction: 01813, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '01813', 'Ground Truth': '01513'}\n",
      "Label: 00524, Prediction: 00384, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '00384', 'Ground Truth': '00524'}\n",
      "Label: 19468, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '19468'}\n",
      "Label: 27345, Prediction: 27345, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27345', 'Ground Truth': '27345'}\n",
      "Label: 07819, Prediction: 07819, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07819', 'Ground Truth': '07819'}\n",
      "Label: 02381, Prediction: 02381, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '02381', 'Ground Truth': '02381'}\n",
      "Label: 47616, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47616'}\n",
      "Label: 91899, Prediction: 91899, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91899', 'Ground Truth': '91899'}\n",
      "Label: 37896, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '37896'}\n",
      "Label: 17184, Prediction: 17184, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '17184', 'Ground Truth': '17184'}\n",
      "Label: 42498, Prediction: 42490, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '42490', 'Ground Truth': '42498'}\n",
      "Label: 83670, Prediction: 83870, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '83870', 'Ground Truth': '83670'}\n",
      "Label: 33708, Prediction: 33708, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '33708', 'Ground Truth': '33708'}\n",
      "Label: 13170, Prediction: 13170, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '13170', 'Ground Truth': '13170'}\n",
      "Label: 29414, Prediction: 29414, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '29414', 'Ground Truth': '29414'}\n",
      "Label: 52406, Prediction: 52406, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52406', 'Ground Truth': '52406'}\n",
      "Label: 52311, Prediction: 52311, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52311', 'Ground Truth': '52311'}\n",
      "Label: 48976, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '48976'}\n",
      "Label: 38646, Prediction: 38146, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '38146', 'Ground Truth': '38646'}\n",
      "Label: 14639, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14639'}\n",
      "Label: 12047, Prediction: 12047, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12047', 'Ground Truth': '12047'}\n",
      "Label: 33956, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '33956'}\n",
      "Label: 01936, Prediction: 01936, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01936', 'Ground Truth': '01936'}\n",
      "Label: 05287, Prediction: 05387, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '05387', 'Ground Truth': '05287'}\n",
      "Label: 33391, Prediction: 33391, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '33391', 'Ground Truth': '33391'}\n",
      "Label: 96392, Prediction: 96394, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '96394', 'Ground Truth': '96392'}\n",
      "Label: 19999, Prediction: 19999, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '19999', 'Ground Truth': '19999'}\n",
      "Label: 79216, Prediction: 79216, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79216', 'Ground Truth': '79216'}\n",
      "Label: 11134, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11134'}\n",
      "Label: 01304, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '01304'}\n",
      "Label: 19915, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '19915'}\n",
      "Label: 93292, Prediction: 93442, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '93442', 'Ground Truth': '93292'}\n",
      "Label: 67598, Prediction: 67398, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '67398', 'Ground Truth': '67598'}\n",
      "Label: 24261, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24261'}\n",
      "Label: 78701, Prediction: 78701, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78701', 'Ground Truth': '78701'}\n",
      "Label: 63160, Prediction: 63160, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63160', 'Ground Truth': '63160'}\n",
      "Label: 63576, Prediction: 63176, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '63176', 'Ground Truth': '63576'}\n",
      "Label: 82676, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '82676'}\n",
      "Label: 72031, Prediction: 72031, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72031', 'Ground Truth': '72031'}\n",
      "Label: 58413, Prediction: 58403, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58403', 'Ground Truth': '58413'}\n",
      "Label: 86606, Prediction: 86406, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '86406', 'Ground Truth': '86606'}\n",
      "Label: 70854, Prediction: 70854, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70854', 'Ground Truth': '70854'}\n",
      "Label: 82931, Prediction: 82931, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '82931', 'Ground Truth': '82931'}\n",
      "Label: 65145, Prediction: 65145, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '65145', 'Ground Truth': '65145'}\n",
      "Label: 72219, Prediction: 72209, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '72209', 'Ground Truth': '72219'}\n",
      "Label: 56148, Prediction: 56142, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '56142', 'Ground Truth': '56148'}\n",
      "Label: 30999, Prediction: 3099, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3099', 'Ground Truth': '30999'}\n",
      "Label: 74907, Prediction: 74807, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '74807', 'Ground Truth': '74907'}\n",
      "Label: 48132, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '48132'}\n",
      "Label: 69295, Prediction: 69295, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69295', 'Ground Truth': '69295'}\n",
      "Label: 67603, Prediction: 67603, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67603', 'Ground Truth': '67603'}\n",
      "Label: 12146, Prediction: 02146, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '02146', 'Ground Truth': '12146'}\n",
      "Label: 32484, Prediction: 32484, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32484', 'Ground Truth': '32484'}\n",
      "Label: 09960, Prediction: 09960, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09960', 'Ground Truth': '09960'}\n",
      "Label: 12104, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '12104'}\n",
      "Label: 11740, Prediction: 11740, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11740', 'Ground Truth': '11740'}\n",
      "Label: 08501, Prediction: 08301, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '08301', 'Ground Truth': '08501'}\n",
      "Label: 14477, Prediction: 14477, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '14477', 'Ground Truth': '14477'}\n",
      "Label: 21246, Prediction: 21246, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '21246', 'Ground Truth': '21246'}\n",
      "Label: 62013, Prediction: 62013, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '62013', 'Ground Truth': '62013'}\n",
      "Label: 24402, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24402'}\n",
      "Label: 22043, Prediction: 22043, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '22043', 'Ground Truth': '22043'}\n",
      "Label: 65603, Prediction: 65603, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '65603', 'Ground Truth': '65603'}\n",
      "Label: 52239, Prediction: 52239, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52239', 'Ground Truth': '52239'}\n",
      "Label: 99774, Prediction: 99774, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99774', 'Ground Truth': '99774'}\n",
      "Label: 50128, Prediction: 50128, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50128', 'Ground Truth': '50128'}\n",
      "Label: 21811, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21811'}\n",
      "Label: 18539, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18539'}\n",
      "Label: 51934, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '51934'}\n",
      "Label: 11172, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11172'}\n",
      "Label: 61825, Prediction: 618, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '618', 'Ground Truth': '61825'}\n",
      "Label: 30656, Prediction: 30656, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '30656', 'Ground Truth': '30656'}\n",
      "Label: 88050, Prediction: 88650, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '88650', 'Ground Truth': '88050'}\n",
      "Label: 49437, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '49437'}\n",
      "Label: 67649, Prediction: 67649, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67649', 'Ground Truth': '67649'}\n",
      "Label: 85760, Prediction: 85760, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85760', 'Ground Truth': '85760'}\n",
      "Label: 32863, Prediction: 32867, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '32867', 'Ground Truth': '32863'}\n",
      "Label: 53456, Prediction: 53456, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '53456', 'Ground Truth': '53456'}\n",
      "Label: 70513, Prediction: 70313, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '70313', 'Ground Truth': '70513'}\n",
      "Label: 69948, Prediction: 69948, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69948', 'Ground Truth': '69948'}\n",
      "Label: 42632, Prediction: 42332, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '42332', 'Ground Truth': '42632'}\n",
      "Label: 76714, Prediction: 7674, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '7674', 'Ground Truth': '76714'}\n",
      "Label: 38926, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '38926'}\n",
      "Label: 26780, Prediction: 26780, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '26780', 'Ground Truth': '26780'}\n",
      "Label: 05994, Prediction: 05994, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05994', 'Ground Truth': '05994'}\n",
      "Label: 13782, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13782'}\n",
      "Label: 34955, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34955'}\n",
      "Label: 35033, Prediction: 35033, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35033', 'Ground Truth': '35033'}\n",
      "Label: 98014, Prediction: 9804, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9804', 'Ground Truth': '98014'}\n",
      "Label: 06062, Prediction: 06042, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '06042', 'Ground Truth': '06062'}\n",
      "Label: 94976, Prediction: 94276, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '94276', 'Ground Truth': '94976'}\n",
      "Label: 41807, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41807'}\n",
      "Label: 28124, Prediction: 28124, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28124', 'Ground Truth': '28124'}\n",
      "Label: 32569, Prediction: 32569, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32569', 'Ground Truth': '32569'}\n",
      "Label: 29472, Prediction: 29470, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '29470', 'Ground Truth': '29472'}\n",
      "Label: 33708, Prediction: 33008, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '33008', 'Ground Truth': '33708'}\n",
      "Label: 77830, Prediction: 77830, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77830', 'Ground Truth': '77830'}\n",
      "Label: 62464, Prediction: 62444, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '62444', 'Ground Truth': '62464'}\n",
      "Label: 39270, Prediction: 39770, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '39770', 'Ground Truth': '39270'}\n",
      "Label: 89880, Prediction: 89880, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '89880', 'Ground Truth': '89880'}\n",
      "Label: 06661, Prediction: 0661, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '0661', 'Ground Truth': '06661'}\n",
      "Label: 18402, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18402'}\n",
      "Label: 72169, Prediction: 72169, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72169', 'Ground Truth': '72169'}\n",
      "Label: 47533, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47533'}\n",
      "Label: 29042, Prediction: 29042, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '29042', 'Ground Truth': '29042'}\n",
      "Label: 87298, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '87298'}\n",
      "Label: 18248, Prediction: 18248, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18248', 'Ground Truth': '18248'}\n",
      "Label: 30413, Prediction: 30413, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '30413', 'Ground Truth': '30413'}\n",
      "Label: 27228, Prediction: 27228, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27228', 'Ground Truth': '27228'}\n",
      "Label: 82899, Prediction: 82819, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '82819', 'Ground Truth': '82899'}\n",
      "Label: 42109, Prediction: 42109, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42109', 'Ground Truth': '42109'}\n",
      "Label: 61834, Prediction: 61834, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61834', 'Ground Truth': '61834'}\n",
      "Label: 39984, Prediction: 39984, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39984', 'Ground Truth': '39984'}\n",
      "Label: 16821, Prediction: 16821, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16821', 'Ground Truth': '16821'}\n",
      "Label: 85398, Prediction: 85388, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '85388', 'Ground Truth': '85398'}\n",
      "Label: 61036, Prediction: 61034, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '61034', 'Ground Truth': '61036'}\n",
      "Label: 94514, Prediction: 94814, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '94814', 'Ground Truth': '94514'}\n",
      "Label: 68021, Prediction: 68021, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68021', 'Ground Truth': '68021'}\n",
      "Label: 45410, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '45410'}\n",
      "Label: 62887, Prediction: 6288, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '6288', 'Ground Truth': '62887'}\n",
      "Label: 83147, Prediction: 83147, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '83147', 'Ground Truth': '83147'}\n",
      "Label: 23176, Prediction: 03176, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '03176', 'Ground Truth': '23176'}\n",
      "Label: 40369, Prediction: 40369, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40369', 'Ground Truth': '40369'}\n",
      "Label: 33906, Prediction: 33906, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '33906', 'Ground Truth': '33906'}\n",
      "Label: 63763, Prediction: 63763, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63763', 'Ground Truth': '63763'}\n",
      "Label: 81143, Prediction: 81123, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '81123', 'Ground Truth': '81143'}\n",
      "Label: 51560, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '51560'}\n",
      "Label: 56467, Prediction: 56667, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '56667', 'Ground Truth': '56467'}\n",
      "Label: 36340, Prediction: 36340, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36340', 'Ground Truth': '36340'}\n",
      "Label: 28716, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '28716'}\n",
      "Label: 13572, Prediction: 13572, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '13572', 'Ground Truth': '13572'}\n",
      "Label: 82225, Prediction: 80225, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '80225', 'Ground Truth': '82225'}\n",
      "Label: 32657, Prediction: 32657, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32657', 'Ground Truth': '32657'}\n",
      "Label: 08169, Prediction: 08169, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '08169', 'Ground Truth': '08169'}\n",
      "Label: 35230, Prediction: 35230, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35230', 'Ground Truth': '35230'}\n",
      "Label: 58587, Prediction: 58387, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58387', 'Ground Truth': '58587'}\n",
      "Label: 54139, Prediction: 54139, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '54139', 'Ground Truth': '54139'}\n",
      "Label: 41042, Prediction: 44042, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '44042', 'Ground Truth': '41042'}\n",
      "Label: 38070, Prediction: 38070, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '38070', 'Ground Truth': '38070'}\n",
      "Label: 78564, Prediction: 78564, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78564', 'Ground Truth': '78564'}\n",
      "Label: 42021, Prediction: 42021, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42021', 'Ground Truth': '42021'}\n",
      "Label: 58586, Prediction: 58386, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58386', 'Ground Truth': '58586'}\n",
      "Label: 48532, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '48532'}\n",
      "Label: 66680, Prediction: 66650, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '66650', 'Ground Truth': '66680'}\n",
      "Label: 45765, Prediction: 45765, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '45765', 'Ground Truth': '45765'}\n",
      "Label: 18487, Prediction: 78427, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '78427', 'Ground Truth': '18487'}\n",
      "Label: 92956, Prediction: 92956, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '92956', 'Ground Truth': '92956'}\n",
      "Label: 17204, Prediction: 47204, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '47204', 'Ground Truth': '17204'}\n",
      "Label: 86681, Prediction: 86681, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '86681', 'Ground Truth': '86681'}\n",
      "Label: 35502, Prediction: 35300, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '35300', 'Ground Truth': '35502'}\n",
      "Label: 18098, Prediction: 18098, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18098', 'Ground Truth': '18098'}\n",
      "Label: 18044, Prediction: 78044, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '78044', 'Ground Truth': '18044'}\n",
      "Label: 19272, Prediction: 19272, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '19272', 'Ground Truth': '19272'}\n",
      "Label: 81890, Prediction: 81890, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81890', 'Ground Truth': '81890'}\n",
      "Label: 58100, Prediction: 58100, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '58100', 'Ground Truth': '58100'}\n",
      "Label: 68349, Prediction: 68399, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '68399', 'Ground Truth': '68349'}\n",
      "Label: 06597, Prediction: 06387, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '06387', 'Ground Truth': '06597'}\n",
      "Label: 92389, Prediction: 92388, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '92388', 'Ground Truth': '92389'}\n",
      "Label: 47926, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47926'}\n",
      "Label: 81771, Prediction: 81771, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81771', 'Ground Truth': '81771'}\n",
      "Label: 35691, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '35691'}\n",
      "Label: 13396, Prediction: 13386, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '13386', 'Ground Truth': '13396'}\n",
      "Label: 41620, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41620'}\n",
      "Label: 22756, Prediction: 2275, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '2275', 'Ground Truth': '22756'}\n",
      "Label: 80962, Prediction: 80962, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80962', 'Ground Truth': '80962'}\n",
      "Label: 91743, Prediction: 91743, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91743', 'Ground Truth': '91743'}\n",
      "Label: 69099, Prediction: 69099, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69099', 'Ground Truth': '69099'}\n",
      "Label: 96204, Prediction: 96204, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96204', 'Ground Truth': '96204'}\n",
      "Label: 34200, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34200'}\n",
      "Label: 20296, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20296'}\n",
      "Label: 36940, Prediction: 36440, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '36440', 'Ground Truth': '36940'}\n",
      "Label: 22288, Prediction: 22288, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '22288', 'Ground Truth': '22288'}\n",
      "Label: 04397, Prediction: 04397, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '04397', 'Ground Truth': '04397'}\n",
      "Label: 77335, Prediction: 77335, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77335', 'Ground Truth': '77335'}\n",
      "Label: 36714, Prediction: 3674, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3674', 'Ground Truth': '36714'}\n",
      "Label: 85299, Prediction: 85299, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85299', 'Ground Truth': '85299'}\n",
      "Label: 14813, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14813'}\n",
      "Label: 91331, Prediction: 91331, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91331', 'Ground Truth': '91331'}\n",
      "Label: 96932, Prediction: 9693, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9693', 'Ground Truth': '96932'}\n",
      "Label: 20723, Prediction: 20723, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '20723', 'Ground Truth': '20723'}\n",
      "Label: 82543, Prediction: 82543, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '82543', 'Ground Truth': '82543'}\n",
      "Label: 62688, Prediction: 62808, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '62808', 'Ground Truth': '62688'}\n",
      "Label: 00165, Prediction: 00165, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00165', 'Ground Truth': '00165'}\n",
      "Label: 88084, Prediction: 88384, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '88384', 'Ground Truth': '88084'}\n",
      "Label: 57351, Prediction: 37351, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '37351', 'Ground Truth': '57351'}\n",
      "Label: 97698, Prediction: 97698, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '97698', 'Ground Truth': '97698'}\n",
      "Label: 65036, Prediction: 65036, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '65036', 'Ground Truth': '65036'}\n",
      "Label: 98568, Prediction: 98568, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '98568', 'Ground Truth': '98568'}\n",
      "Label: 79137, Prediction: 79137, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79137', 'Ground Truth': '79137'}\n",
      "Label: 98229, Prediction: 98229, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '98229', 'Ground Truth': '98229'}\n",
      "Label: 27279, Prediction: 27279, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27279', 'Ground Truth': '27279'}\n",
      "Label: 24812, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24812'}\n",
      "Label: 87066, Prediction: 87066, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87066', 'Ground Truth': '87066'}\n",
      "Label: 61034, Prediction: 61034, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61034', 'Ground Truth': '61034'}\n",
      "Label: 17261, Prediction: 17201, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '17201', 'Ground Truth': '17261'}\n",
      "Label: 28953, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '28953'}\n",
      "Label: 36979, Prediction: 36979, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36979', 'Ground Truth': '36979'}\n",
      "Label: 72762, Prediction: 72762, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72762', 'Ground Truth': '72762'}\n",
      "Label: 02593, Prediction: 02393, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '02393', 'Ground Truth': '02593'}\n",
      "Label: 31623, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '31623'}\n",
      "Label: 57634, Prediction: 57634, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57634', 'Ground Truth': '57634'}\n",
      "Label: 99446, Prediction: 99446, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99446', 'Ground Truth': '99446'}\n",
      "Label: 61338, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '61338'}\n",
      "Label: 39287, Prediction: 39387, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '39387', 'Ground Truth': '39287'}\n",
      "Label: 40277, Prediction: 40277, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40277', 'Ground Truth': '40277'}\n",
      "Label: 24658, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24658'}\n",
      "Label: 36198, Prediction: 30198, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '30198', 'Ground Truth': '36198'}\n",
      "Label: 57272, Prediction: 57272, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57272', 'Ground Truth': '57272'}\n",
      "Label: 49127, Prediction: 49177, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '49177', 'Ground Truth': '49127'}\n",
      "Label: 18078, Prediction: 18078, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18078', 'Ground Truth': '18078'}\n",
      "Label: 94000, Prediction: 94300, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '94300', 'Ground Truth': '94000'}\n",
      "Label: 48431, Prediction: 48431, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '48431', 'Ground Truth': '48431'}\n",
      "Label: 29495, Prediction: 29495, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '29495', 'Ground Truth': '29495'}\n",
      "Label: 92021, Prediction: 92021, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '92021', 'Ground Truth': '92021'}\n",
      "Label: 36308, Prediction: 36308, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36308', 'Ground Truth': '36308'}\n",
      "Label: 23169, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23169'}\n",
      "Label: 59154, Prediction: 59154, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59154', 'Ground Truth': '59154'}\n",
      "Label: 93255, Prediction: 90255, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '90255', 'Ground Truth': '93255'}\n",
      "Label: 21883, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21883'}\n",
      "Label: 17022, Prediction: 17022, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '17022', 'Ground Truth': '17022'}\n",
      "Label: 36520, Prediction: 36320, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '36320', 'Ground Truth': '36520'}\n",
      "Label: 55624, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '55624'}\n",
      "Label: 96660, Prediction: 96660, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96660', 'Ground Truth': '96660'}\n",
      "Label: 99313, Prediction: 99313, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99313', 'Ground Truth': '99313'}\n",
      "Label: 38618, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '38618'}\n",
      "Label: 92663, Prediction: 92403, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '92403', 'Ground Truth': '92663'}\n",
      "Label: 15543, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '15543'}\n",
      "Label: 58402, Prediction: 58407, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58407', 'Ground Truth': '58402'}\n",
      "Label: 03194, Prediction: 03194, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '03194', 'Ground Truth': '03194'}\n",
      "Label: 18984, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18984'}\n",
      "Label: 99395, Prediction: 99395, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99395', 'Ground Truth': '99395'}\n",
      "Label: 13592, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13592'}\n",
      "Label: 79655, Prediction: 79635, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '79635', 'Ground Truth': '79655'}\n",
      "Label: 51798, Prediction: 51798, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '51798', 'Ground Truth': '51798'}\n",
      "Label: 80481, Prediction: 80481, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80481', 'Ground Truth': '80481'}\n",
      "Label: 69087, Prediction: 69027, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '69027', 'Ground Truth': '69087'}\n",
      "Label: 10291, Prediction: 1029, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1029', 'Ground Truth': '10291'}\n",
      "Label: 40054, Prediction: 40054, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40054', 'Ground Truth': '40054'}\n",
      "Label: 87364, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '87364'}\n",
      "Label: 43716, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43716'}\n",
      "Label: 61997, Prediction: 61997, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61997', 'Ground Truth': '61997'}\n",
      "Label: 99474, Prediction: 99474, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99474', 'Ground Truth': '99474'}\n",
      "Label: 96370, Prediction: 96770, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '96770', 'Ground Truth': '96370'}\n",
      "Label: 09573, Prediction: 09573, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09573', 'Ground Truth': '09573'}\n",
      "Label: 99352, Prediction: 9935, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9935', 'Ground Truth': '99352'}\n",
      "Label: 22903, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '22903'}\n",
      "Label: 37297, Prediction: 37297, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '37297', 'Ground Truth': '37297'}\n",
      "Label: 25111, Prediction: 25111, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '25111', 'Ground Truth': '25111'}\n",
      "Label: 56129, Prediction: 56129, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56129', 'Ground Truth': '56129'}\n",
      "Label: 72647, Prediction: 72647, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72647', 'Ground Truth': '72647'}\n",
      "Label: 88224, Prediction: 88224, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '88224', 'Ground Truth': '88224'}\n",
      "Label: 21620, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21620'}\n",
      "Label: 33769, Prediction: 35709, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '35709', 'Ground Truth': '33769'}\n",
      "Label: 37037, Prediction: 37037, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '37037', 'Ground Truth': '37037'}\n",
      "Label: 16999, Prediction: 06989, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '06989', 'Ground Truth': '16999'}\n",
      "Label: 48187, Prediction: 98187, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '98187', 'Ground Truth': '48187'}\n",
      "Label: 63034, Prediction: 63034, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63034', 'Ground Truth': '63034'}\n",
      "Label: 14454, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14454'}\n",
      "Label: 99014, Prediction: 99014, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99014', 'Ground Truth': '99014'}\n",
      "Label: 42341, Prediction: 42341, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42341', 'Ground Truth': '42341'}\n",
      "Label: 84354, Prediction: 84344, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '84344', 'Ground Truth': '84354'}\n",
      "Label: 28551, Prediction: 28551, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28551', 'Ground Truth': '28551'}\n",
      "Label: 49209, Prediction: 49209, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '49209', 'Ground Truth': '49209'}\n",
      "Label: 60872, Prediction: 60872, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60872', 'Ground Truth': '60872'}\n",
      "Label: 13692, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13692'}\n",
      "Label: 17793, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17793'}\n",
      "Label: 97344, Prediction: 97344, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '97344', 'Ground Truth': '97344'}\n",
      "Label: 74191, Prediction: 741, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '741', 'Ground Truth': '74191'}\n",
      "Label: 09369, Prediction: 09369, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09369', 'Ground Truth': '09369'}\n",
      "Label: 20589, Prediction: 20589, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '20589', 'Ground Truth': '20589'}\n",
      "Label: 25180, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '25180'}\n",
      "Label: 28532, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '28532'}\n",
      "Label: 67337, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '67337'}\n",
      "Label: 50103, Prediction: 50103, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50103', 'Ground Truth': '50103'}\n",
      "Label: 34219, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34219'}\n",
      "Label: 37386, Prediction: 37386, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '37386', 'Ground Truth': '37386'}\n",
      "Label: 74071, Prediction: 7407, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '7407', 'Ground Truth': '74071'}\n",
      "Label: 63415, Prediction: 63415, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63415', 'Ground Truth': '63415'}\n",
      "Label: 84083, Prediction: 84083, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84083', 'Ground Truth': '84083'}\n",
      "Label: 99271, Prediction: 99271, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99271', 'Ground Truth': '99271'}\n",
      "Label: 05853, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '05853'}\n",
      "Label: 35215, Prediction: 35215, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35215', 'Ground Truth': '35215'}\n",
      "Label: 96217, Prediction: 96207, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '96207', 'Ground Truth': '96217'}\n",
      "Label: 26231, Prediction: 26231, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '26231', 'Ground Truth': '26231'}\n",
      "Label: 81103, Prediction: 81103, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81103', 'Ground Truth': '81103'}\n",
      "Label: 48632, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '48632'}\n",
      "Label: 21678, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21678'}\n",
      "Label: 10824, Prediction: 10824, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10824', 'Ground Truth': '10824'}\n",
      "Label: 05380, Prediction: 05380, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05380', 'Ground Truth': '05380'}\n",
      "Label: 34140, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34140'}\n",
      "Label: 12978, Prediction: 12878, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '12878', 'Ground Truth': '12978'}\n",
      "Label: 24669, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24669'}\n",
      "Label: 64953, Prediction: 64933, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '64933', 'Ground Truth': '64953'}\n",
      "Label: 21659, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21659'}\n",
      "Label: 20302, Prediction: 30302, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '30302', 'Ground Truth': '20302'}\n",
      "Label: 28267, Prediction: 28267, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28267', 'Ground Truth': '28267'}\n",
      "Label: 40521, Prediction: 4052, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '4052', 'Ground Truth': '40521'}\n",
      "Label: 26083, Prediction: 2608, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '2608', 'Ground Truth': '26083'}\n",
      "Label: 09961, Prediction: 09961, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09961', 'Ground Truth': '09961'}\n",
      "Label: 77358, Prediction: 77388, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '77388', 'Ground Truth': '77358'}\n",
      "Label: 54060, Prediction: 54060, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '54060', 'Ground Truth': '54060'}\n",
      "Label: 71714, Prediction: 71714, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71714', 'Ground Truth': '71714'}\n",
      "Label: 44885, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44885'}\n",
      "Label: 74652, Prediction: 74632, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '74632', 'Ground Truth': '74652'}\n",
      "Label: 11209, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11209'}\n",
      "Label: 60789, Prediction: 60789, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60789', 'Ground Truth': '60789'}\n",
      "Label: 83674, Prediction: 83674, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '83674', 'Ground Truth': '83674'}\n",
      "Label: 71967, Prediction: 71967, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71967', 'Ground Truth': '71967'}\n",
      "Label: 24962, Prediction: 24962, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '24962', 'Ground Truth': '24962'}\n",
      "Label: 91673, Prediction: 91673, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91673', 'Ground Truth': '91673'}\n",
      "Label: 79304, Prediction: 79304, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79304', 'Ground Truth': '79304'}\n",
      "Label: 11097, Prediction: 11097, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11097', 'Ground Truth': '11097'}\n",
      "Label: 24422, Prediction: 044, Result: {'Correct': False, 'Similarity': 0.40000000012000003, 'Prediction': '044', 'Ground Truth': '24422'}\n",
      "Label: 16312, Prediction: 16312, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16312', 'Ground Truth': '16312'}\n",
      "Label: 43654, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43654'}\n",
      "Label: 68153, Prediction: 68153, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68153', 'Ground Truth': '68153'}\n",
      "Label: 38639, Prediction: 38139, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '38139', 'Ground Truth': '38639'}\n",
      "Label: 33142, Prediction: 33142, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '33142', 'Ground Truth': '33142'}\n",
      "Label: 61494, Prediction: 61494, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61494', 'Ground Truth': '61494'}\n",
      "Label: 95465, Prediction: 95465, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95465', 'Ground Truth': '95465'}\n",
      "Label: 79900, Prediction: 79900, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79900', 'Ground Truth': '79900'}\n",
      "Label: 74827, Prediction: 74827, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74827', 'Ground Truth': '74827'}\n",
      "Label: 30905, Prediction: 30905, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '30905', 'Ground Truth': '30905'}\n",
      "Label: 41794, Prediction: 41794, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '41794', 'Ground Truth': '41794'}\n",
      "Label: 14808, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14808'}\n",
      "Label: 00630, Prediction: 00630, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00630', 'Ground Truth': '00630'}\n",
      "Label: 01455, Prediction: 01435, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '01435', 'Ground Truth': '01455'}\n",
      "Label: 56715, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '56715'}\n",
      "Label: 00545, Prediction: 00345, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '00345', 'Ground Truth': '00545'}\n",
      "Label: 22937, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '22937'}\n",
      "Label: 54488, Prediction: 54488, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '54488', 'Ground Truth': '54488'}\n",
      "Label: 66127, Prediction: 66127, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66127', 'Ground Truth': '66127'}\n",
      "Label: 40571, Prediction: 40571, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40571', 'Ground Truth': '40571'}\n",
      "Label: 02128, Prediction: 02128, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '02128', 'Ground Truth': '02128'}\n",
      "Label: 98845, Prediction: 98445, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '98445', 'Ground Truth': '98845'}\n",
      "Label: 52232, Prediction: 52232, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52232', 'Ground Truth': '52232'}\n",
      "Label: 47589, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47589'}\n",
      "Label: 28123, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '28123'}\n",
      "Label: 79988, Prediction: 79988, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79988', 'Ground Truth': '79988'}\n",
      "Label: 18613, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18613'}\n",
      "Label: 92118, Prediction: 92118, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '92118', 'Ground Truth': '92118'}\n",
      "Label: 68282, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '68282'}\n",
      "Label: 61562, Prediction: 61862, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '61862', 'Ground Truth': '61562'}\n",
      "Label: 76551, Prediction: 7659, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '7659', 'Ground Truth': '76551'}\n",
      "Label: 24231, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24231'}\n",
      "Label: 05179, Prediction: 05179, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05179', 'Ground Truth': '05179'}\n",
      "Label: 40203, Prediction: 40203, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40203', 'Ground Truth': '40203'}\n",
      "Label: 11571, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11571'}\n",
      "Label: 09702, Prediction: 09702, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09702', 'Ground Truth': '09702'}\n",
      "Label: 10470, Prediction: 10470, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10470', 'Ground Truth': '10470'}\n",
      "Label: 53202, Prediction: 53202, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '53202', 'Ground Truth': '53202'}\n",
      "Label: 97439, Prediction: 97429, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '97429', 'Ground Truth': '97439'}\n",
      "Label: 17813, Prediction: 17813, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '17813', 'Ground Truth': '17813'}\n",
      "Label: 50130, Prediction: 50130, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50130', 'Ground Truth': '50130'}\n",
      "Label: 83692, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '83692'}\n",
      "Label: 11343, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11343'}\n",
      "Label: 05153, Prediction: 05133, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '05133', 'Ground Truth': '05153'}\n",
      "Label: 20335, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20335'}\n",
      "Label: 52105, Prediction: 52105, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52105', 'Ground Truth': '52105'}\n",
      "Label: 28730, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '28730'}\n",
      "Label: 12177, Prediction: 12177, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12177', 'Ground Truth': '12177'}\n",
      "Label: 28795, Prediction: 2879, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '2879', 'Ground Truth': '28795'}\n",
      "Label: 05116, Prediction: 05116, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05116', 'Ground Truth': '05116'}\n",
      "Label: 55411, Prediction: 55411, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '55411', 'Ground Truth': '55411'}\n",
      "Label: 95417, Prediction: 95417, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95417', 'Ground Truth': '95417'}\n",
      "Label: 96129, Prediction: 96129, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96129', 'Ground Truth': '96129'}\n",
      "Label: 39753, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '39753'}\n",
      "Label: 19292, Prediction: 19292, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '19292', 'Ground Truth': '19292'}\n",
      "Label: 14092, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14092'}\n",
      "Label: 22449, Prediction: 22449, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '22449', 'Ground Truth': '22449'}\n",
      "Label: 47910, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47910'}\n",
      "Label: 79366, Prediction: 79386, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '79386', 'Ground Truth': '79366'}\n",
      "Label: 71647, Prediction: 71847, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '71847', 'Ground Truth': '71647'}\n",
      "Label: 16683, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '16683'}\n",
      "Label: 95073, Prediction: 95073, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95073', 'Ground Truth': '95073'}\n",
      "Label: 45080, Prediction: 45080, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '45080', 'Ground Truth': '45080'}\n",
      "Label: 28335, Prediction: 28335, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28335', 'Ground Truth': '28335'}\n",
      "Label: 31794, Prediction: 31794, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '31794', 'Ground Truth': '31794'}\n",
      "Label: 23068, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23068'}\n",
      "Label: 00702, Prediction: 00702, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00702', 'Ground Truth': '00702'}\n",
      "Label: 88040, Prediction: 88440, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '88440', 'Ground Truth': '88040'}\n",
      "Label: 40349, Prediction: 40349, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40349', 'Ground Truth': '40349'}\n",
      "Label: 51025, Prediction: 51029, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '51029', 'Ground Truth': '51025'}\n",
      "Label: 66829, Prediction: 66229, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '66229', 'Ground Truth': '66829'}\n",
      "Label: 21914, Prediction: 21914, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '21914', 'Ground Truth': '21914'}\n",
      "Label: 57194, Prediction: 57194, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57194', 'Ground Truth': '57194'}\n",
      "Label: 38794, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '38794'}\n",
      "Label: 05619, Prediction: 05619, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05619', 'Ground Truth': '05619'}\n",
      "Label: 40471, Prediction: 40471, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40471', 'Ground Truth': '40471'}\n",
      "Label: 95455, Prediction: 95479, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '95479', 'Ground Truth': '95455'}\n",
      "Label: 18904, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18904'}\n",
      "Label: 38817, Prediction: 39817, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '39817', 'Ground Truth': '38817'}\n",
      "Label: 34489, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34489'}\n",
      "Label: 56256, Prediction: 56256, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56256', 'Ground Truth': '56256'}\n",
      "Label: 93230, Prediction: 93230, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '93230', 'Ground Truth': '93230'}\n",
      "Label: 42916, Prediction: 42916, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42916', 'Ground Truth': '42916'}\n",
      "Label: 42730, Prediction: 42780, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '42780', 'Ground Truth': '42730'}\n",
      "Label: 61322, Prediction: 613, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '613', 'Ground Truth': '61322'}\n",
      "Label: 38829, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '38829'}\n",
      "Label: 70602, Prediction: 70602, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70602', 'Ground Truth': '70602'}\n",
      "Label: 26585, Prediction: 26385, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '26385', 'Ground Truth': '26585'}\n",
      "Label: 36286, Prediction: 36286, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36286', 'Ground Truth': '36286'}\n",
      "Label: 64109, Prediction: 64109, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64109', 'Ground Truth': '64109'}\n",
      "Label: 23969, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23969'}\n",
      "Label: 95492, Prediction: 9549, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9549', 'Ground Truth': '95492'}\n",
      "Label: 33046, Prediction: 33046, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '33046', 'Ground Truth': '33046'}\n",
      "Label: 84452, Prediction: 84452, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84452', 'Ground Truth': '84452'}\n",
      "Label: 14056, Prediction: 44036, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '44036', 'Ground Truth': '14056'}\n",
      "Label: 19830, Prediction: 1980, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1980', 'Ground Truth': '19830'}\n",
      "Label: 14341, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14341'}\n",
      "Label: 23658, Prediction: 03458, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '03458', 'Ground Truth': '23658'}\n",
      "Label: 13906, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13906'}\n",
      "Label: 24505, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24505'}\n",
      "Label: 42231, Prediction: 42231, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42231', 'Ground Truth': '42231'}\n",
      "Label: 66872, Prediction: 66872, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66872', 'Ground Truth': '66872'}\n",
      "Label: 78039, Prediction: 78039, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78039', 'Ground Truth': '78039'}\n",
      "Label: 52998, Prediction: 5299, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '5299', 'Ground Truth': '52998'}\n",
      "Label: 07702, Prediction: 07702, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07702', 'Ground Truth': '07702'}\n",
      "Label: 13771, Prediction: 13771, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '13771', 'Ground Truth': '13771'}\n",
      "Label: 31371, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '31371'}\n",
      "Label: 96039, Prediction: 96039, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96039', 'Ground Truth': '96039'}\n",
      "Label: 29721, Prediction: 2972, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '2972', 'Ground Truth': '29721'}\n",
      "Label: 97161, Prediction: 97761, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '97761', 'Ground Truth': '97161'}\n",
      "Label: 90727, Prediction: 90707, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '90707', 'Ground Truth': '90727'}\n",
      "Label: 81308, Prediction: 81308, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81308', 'Ground Truth': '81308'}\n",
      "Label: 15771, Prediction: 15770, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '15770', 'Ground Truth': '15771'}\n",
      "Label: 01408, Prediction: 01408, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01408', 'Ground Truth': '01408'}\n",
      "Label: 85474, Prediction: 85474, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85474', 'Ground Truth': '85474'}\n",
      "Label: 14324, Prediction: 19324, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '19324', 'Ground Truth': '14324'}\n",
      "Label: 56452, Prediction: 56452, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56452', 'Ground Truth': '56452'}\n",
      "Label: 20759, Prediction: 20187, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '20187', 'Ground Truth': '20759'}\n",
      "Label: 58953, Prediction: 58353, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58353', 'Ground Truth': '58953'}\n",
      "Label: 74858, Prediction: 748, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '748', 'Ground Truth': '74858'}\n",
      "Label: 39843, Prediction: 39843, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39843', 'Ground Truth': '39843'}\n",
      "Label: 61787, Prediction: 61787, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61787', 'Ground Truth': '61787'}\n",
      "Label: 47059, Prediction: 47089, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '47089', 'Ground Truth': '47059'}\n",
      "Label: 39534, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '39534'}\n",
      "Label: 33286, Prediction: 35286, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '35286', 'Ground Truth': '33286'}\n",
      "Label: 38681, Prediction: 38681, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '38681', 'Ground Truth': '38681'}\n",
      "Label: 05426, Prediction: 03726, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '03726', 'Ground Truth': '05426'}\n",
      "Label: 83734, Prediction: 83734, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '83734', 'Ground Truth': '83734'}\n",
      "Label: 77937, Prediction: 97937, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '97937', 'Ground Truth': '77937'}\n",
      "Label: 50688, Prediction: 50888, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '50888', 'Ground Truth': '50688'}\n",
      "Label: 28068, Prediction: 28068, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28068', 'Ground Truth': '28068'}\n",
      "Label: 40068, Prediction: 40068, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40068', 'Ground Truth': '40068'}\n",
      "Label: 92218, Prediction: 92208, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '92208', 'Ground Truth': '92218'}\n",
      "Label: 05629, Prediction: 05029, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '05029', 'Ground Truth': '05629'}\n",
      "Label: 08478, Prediction: 08478, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '08478', 'Ground Truth': '08478'}\n",
      "Label: 61935, Prediction: 618, Result: {'Correct': False, 'Similarity': 0.40000000012000003, 'Prediction': '618', 'Ground Truth': '61935'}\n",
      "Label: 43039, Prediction: 43039, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '43039', 'Ground Truth': '43039'}\n",
      "Label: 92843, Prediction: 92843, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '92843', 'Ground Truth': '92843'}\n",
      "Label: 97073, Prediction: 97073, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '97073', 'Ground Truth': '97073'}\n",
      "Label: 55659, Prediction: 55650, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '55650', 'Ground Truth': '55659'}\n",
      "Label: 52130, Prediction: 52130, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52130', 'Ground Truth': '52130'}\n",
      "Label: 37830, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '37830'}\n",
      "Label: 38343, Prediction: 35343, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '35343', 'Ground Truth': '38343'}\n",
      "Label: 61362, Prediction: 613, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '613', 'Ground Truth': '61362'}\n",
      "Label: 66122, Prediction: 66122, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66122', 'Ground Truth': '66122'}\n",
      "Label: 36321, Prediction: 36301, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '36301', 'Ground Truth': '36321'}\n",
      "Label: 26083, Prediction: 26083, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '26083', 'Ground Truth': '26083'}\n",
      "Label: 54194, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '54194'}\n",
      "Label: 88701, Prediction: 88701, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '88701', 'Ground Truth': '88701'}\n",
      "Label: 29008, Prediction: 29008, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '29008', 'Ground Truth': '29008'}\n",
      "Label: 12972, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '12972'}\n",
      "Label: 16118, Prediction: 16118, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16118', 'Ground Truth': '16118'}\n",
      "Label: 10409, Prediction: 10409, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10409', 'Ground Truth': '10409'}\n",
      "Label: 46418, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '46418'}\n",
      "Label: 05935, Prediction: 05935, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05935', 'Ground Truth': '05935'}\n",
      "Label: 03203, Prediction: 00203, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '00203', 'Ground Truth': '03203'}\n",
      "Label: 91171, Prediction: 91171, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91171', 'Ground Truth': '91171'}\n",
      "Label: 19811, Prediction: 1984, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '1984', 'Ground Truth': '19811'}\n",
      "Label: 40036, Prediction: 40036, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40036', 'Ground Truth': '40036'}\n",
      "Label: 16535, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '16535'}\n",
      "Label: 24500, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24500'}\n",
      "Label: 56119, Prediction: 56119, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56119', 'Ground Truth': '56119'}\n",
      "Label: 95101, Prediction: 93101, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '93101', 'Ground Truth': '95101'}\n",
      "Label: 62368, Prediction: 62388, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '62388', 'Ground Truth': '62368'}\n",
      "Label: 48573, Prediction: 48573, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '48573', 'Ground Truth': '48573'}\n",
      "Label: 27990, Prediction: 27490, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '27490', 'Ground Truth': '27990'}\n",
      "Label: 38459, Prediction: 38459, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '38459', 'Ground Truth': '38459'}\n",
      "Label: 90618, Prediction: 90618, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '90618', 'Ground Truth': '90618'}\n",
      "Label: 10724, Prediction: 10724, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10724', 'Ground Truth': '10724'}\n",
      "Label: 37095, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '37095'}\n",
      "Label: 17545, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17545'}\n",
      "Label: 01178, Prediction: 01178, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01178', 'Ground Truth': '01178'}\n",
      "Label: 87820, Prediction: 87820, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87820', 'Ground Truth': '87820'}\n",
      "Label: 50701, Prediction: 50701, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50701', 'Ground Truth': '50701'}\n",
      "Label: 99880, Prediction: 99880, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99880', 'Ground Truth': '99880'}\n",
      "Label: 97034, Prediction: 97034, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '97034', 'Ground Truth': '97034'}\n",
      "Label: 84829, Prediction: 84829, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84829', 'Ground Truth': '84829'}\n",
      "Label: 68021, Prediction: 68021, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68021', 'Ground Truth': '68021'}\n",
      "Label: 49029, Prediction: 45029, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '45029', 'Ground Truth': '49029'}\n",
      "Label: 16607, Prediction: 16607, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16607', 'Ground Truth': '16607'}\n",
      "Label: 66475, Prediction: 66475, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66475', 'Ground Truth': '66475'}\n",
      "Label: 87895, Prediction: 87898, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '87898', 'Ground Truth': '87895'}\n",
      "Label: 13764, Prediction: 13764, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '13764', 'Ground Truth': '13764'}\n",
      "Label: 27979, Prediction: 27979, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27979', 'Ground Truth': '27979'}\n",
      "Label: 10807, Prediction: 10807, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10807', 'Ground Truth': '10807'}\n",
      "Label: 62896, Prediction: 628, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '628', 'Ground Truth': '62896'}\n",
      "Label: 08951, Prediction: 08951, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '08951', 'Ground Truth': '08951'}\n",
      "Label: 29520, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '29520'}\n",
      "Label: 96176, Prediction: 96176, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96176', 'Ground Truth': '96176'}\n",
      "Label: 78733, Prediction: 78733, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78733', 'Ground Truth': '78733'}\n",
      "Label: 44011, Prediction: 44011, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '44011', 'Ground Truth': '44011'}\n",
      "Label: 16699, Prediction: 1669, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1669', 'Ground Truth': '16699'}\n",
      "Label: 17746, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17746'}\n",
      "Label: 63982, Prediction: 63982, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63982', 'Ground Truth': '63982'}\n",
      "Label: 07943, Prediction: 07943, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07943', 'Ground Truth': '07943'}\n",
      "Label: 09518, Prediction: 09518, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09518', 'Ground Truth': '09518'}\n",
      "Label: 94586, Prediction: 94386, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '94386', 'Ground Truth': '94586'}\n",
      "Label: 23261, Prediction: 23261, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '23261', 'Ground Truth': '23261'}\n",
      "Label: 34585, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34585'}\n",
      "Label: 91100, Prediction: 91100, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91100', 'Ground Truth': '91100'}\n",
      "Label: 95183, Prediction: 95183, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95183', 'Ground Truth': '95183'}\n",
      "Label: 53645, Prediction: 53645, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '53645', 'Ground Truth': '53645'}\n",
      "Label: 91132, Prediction: 91132, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91132', 'Ground Truth': '91132'}\n",
      "Label: 17627, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17627'}\n",
      "Label: 07064, Prediction: 07064, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07064', 'Ground Truth': '07064'}\n",
      "Label: 34712, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34712'}\n",
      "Label: 33546, Prediction: 03346, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '03346', 'Ground Truth': '33546'}\n",
      "Label: 16945, Prediction: 16945, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16945', 'Ground Truth': '16945'}\n",
      "Label: 23517, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23517'}\n",
      "Label: 69099, Prediction: 69099, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69099', 'Ground Truth': '69099'}\n",
      "Label: 76673, Prediction: 76673, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '76673', 'Ground Truth': '76673'}\n",
      "Label: 25427, Prediction: 25427, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '25427', 'Ground Truth': '25427'}\n",
      "Label: 37355, Prediction: 37355, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '37355', 'Ground Truth': '37355'}\n",
      "Label: 68374, Prediction: 68374, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68374', 'Ground Truth': '68374'}\n",
      "Label: 66674, Prediction: 66674, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66674', 'Ground Truth': '66674'}\n",
      "Label: 56618, Prediction: 56118, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '56118', 'Ground Truth': '56618'}\n",
      "Label: 74316, Prediction: 74316, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74316', 'Ground Truth': '74316'}\n",
      "Label: 25842, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '25842'}\n",
      "Label: 66908, Prediction: 66908, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66908', 'Ground Truth': '66908'}\n",
      "Label: 93211, Prediction: 93211, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '93211', 'Ground Truth': '93211'}\n",
      "Label: 44515, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44515'}\n",
      "Label: 11066, Prediction: 11066, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11066', 'Ground Truth': '11066'}\n",
      "Label: 77206, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '77206'}\n",
      "Label: 20189, Prediction: 20184, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '20184', 'Ground Truth': '20189'}\n",
      "Label: 72117, Prediction: 72117, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72117', 'Ground Truth': '72117'}\n",
      "Label: 18443, Prediction: 18443, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18443', 'Ground Truth': '18443'}\n",
      "Label: 64777, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '64777'}\n",
      "Label: 31141, Prediction: 31141, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '31141', 'Ground Truth': '31141'}\n",
      "Label: 98257, Prediction: 98257, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '98257', 'Ground Truth': '98257'}\n",
      "Label: 22398, Prediction: 22388, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '22388', 'Ground Truth': '22398'}\n",
      "Label: 20871, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20871'}\n",
      "Label: 06757, Prediction: 06737, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '06737', 'Ground Truth': '06757'}\n",
      "Label: 27088, Prediction: 27088, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27088', 'Ground Truth': '27088'}\n",
      "Label: 71417, Prediction: 71417, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71417', 'Ground Truth': '71417'}\n",
      "Label: 95254, Prediction: 95254, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95254', 'Ground Truth': '95254'}\n",
      "Label: 19203, Prediction: 19203, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '19203', 'Ground Truth': '19203'}\n",
      "Label: 91135, Prediction: 91135, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91135', 'Ground Truth': '91135'}\n",
      "Label: 33621, Prediction: 33622, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '33622', 'Ground Truth': '33621'}\n",
      "Label: 21742, Prediction: 22742, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '22742', 'Ground Truth': '21742'}\n",
      "Label: 61026, Prediction: 61026, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61026', 'Ground Truth': '61026'}\n",
      "Label: 25399, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '25399'}\n",
      "Label: 97621, Prediction: 97621, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '97621', 'Ground Truth': '97621'}\n",
      "Label: 95623, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '95623'}\n",
      "Label: 03289, Prediction: 03285, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '03285', 'Ground Truth': '03289'}\n",
      "Label: 66508, Prediction: 66308, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '66308', 'Ground Truth': '66508'}\n",
      "Label: 20560, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20560'}\n",
      "Label: 35805, Prediction: 35808, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '35808', 'Ground Truth': '35805'}\n",
      "Label: 27156, Prediction: 27156, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27156', 'Ground Truth': '27156'}\n",
      "Label: 56202, Prediction: 56202, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56202', 'Ground Truth': '56202'}\n",
      "Label: 42798, Prediction: 42798, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42798', 'Ground Truth': '42798'}\n",
      "Label: 91122, Prediction: 91122, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91122', 'Ground Truth': '91122'}\n",
      "Label: 97475, Prediction: 97475, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '97475', 'Ground Truth': '97475'}\n",
      "Label: 45055, Prediction: 45055, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '45055', 'Ground Truth': '45055'}\n",
      "Label: 60914, Prediction: 60914, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60914', 'Ground Truth': '60914'}\n",
      "Label: 20952, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20952'}\n",
      "Label: 37792, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '37792'}\n",
      "Label: 48412, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '48412'}\n",
      "Label: 28546, Prediction: 28346, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '28346', 'Ground Truth': '28546'}\n",
      "Label: 92616, Prediction: 926, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '926', 'Ground Truth': '92616'}\n",
      "Label: 83061, Prediction: 83061, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '83061', 'Ground Truth': '83061'}\n",
      "Label: 99253, Prediction: 99253, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99253', 'Ground Truth': '99253'}\n",
      "Label: 82408, Prediction: 82408, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '82408', 'Ground Truth': '82408'}\n",
      "Label: 23496, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23496'}\n",
      "Label: 54752, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '54752'}\n",
      "Label: 06543, Prediction: 06343, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '06343', 'Ground Truth': '06543'}\n",
      "Label: 43716, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43716'}\n",
      "Label: 69997, Prediction: 69977, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '69977', 'Ground Truth': '69997'}\n",
      "Label: 77082, Prediction: 71082, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '71082', 'Ground Truth': '77082'}\n",
      "Label: 46926, Prediction: 46926, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '46926', 'Ground Truth': '46926'}\n",
      "Label: 56678, Prediction: 56278, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '56278', 'Ground Truth': '56678'}\n",
      "Label: 32793, Prediction: 3279, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3279', 'Ground Truth': '32793'}\n",
      "Label: 90541, Prediction: 9054, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9054', 'Ground Truth': '90541'}\n",
      "Label: 90795, Prediction: 90795, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '90795', 'Ground Truth': '90795'}\n",
      "Label: 85330, Prediction: 85300, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '85300', 'Ground Truth': '85330'}\n",
      "Label: 31976, Prediction: 31976, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '31976', 'Ground Truth': '31976'}\n",
      "Label: 87272, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '87272'}\n",
      "Label: 16707, Prediction: 16707, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16707', 'Ground Truth': '16707'}\n",
      "Label: 41311, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41311'}\n",
      "Label: 67113, Prediction: 67113, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67113', 'Ground Truth': '67113'}\n",
      "Label: 39879, Prediction: 39879, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39879', 'Ground Truth': '39879'}\n",
      "Label: 87091, Prediction: 87091, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87091', 'Ground Truth': '87091'}\n",
      "Label: 77095, Prediction: 77095, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77095', 'Ground Truth': '77095'}\n",
      "Label: 95129, Prediction: 95129, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95129', 'Ground Truth': '95129'}\n",
      "Label: 52592, Prediction: 52592, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52592', 'Ground Truth': '52592'}\n",
      "Label: 37305, Prediction: 37205, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '37205', 'Ground Truth': '37305'}\n",
      "Label: 58004, Prediction: 58004, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '58004', 'Ground Truth': '58004'}\n",
      "Label: 75979, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '75979'}\n",
      "Label: 90498, Prediction: 90498, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '90498', 'Ground Truth': '90498'}\n",
      "Label: 27278, Prediction: 27278, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27278', 'Ground Truth': '27278'}\n",
      "Label: 93980, Prediction: 93780, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '93780', 'Ground Truth': '93980'}\n",
      "Label: 57601, Prediction: 57102, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '57102', 'Ground Truth': '57601'}\n",
      "Label: 68799, Prediction: 6879, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '6879', 'Ground Truth': '68799'}\n",
      "Label: 22481, Prediction: 22481, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '22481', 'Ground Truth': '22481'}\n",
      "Label: 24607, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24607'}\n",
      "Label: 60096, Prediction: 60096, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60096', 'Ground Truth': '60096'}\n",
      "Label: 03469, Prediction: 03469, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '03469', 'Ground Truth': '03469'}\n",
      "Label: 43443, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43443'}\n",
      "Label: 49564, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '49564'}\n",
      "Label: 08676, Prediction: 08686, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '08686', 'Ground Truth': '08676'}\n",
      "Label: 92829, Prediction: 92829, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '92829', 'Ground Truth': '92829'}\n",
      "Label: 68507, Prediction: 68507, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68507', 'Ground Truth': '68507'}\n",
      "Label: 77230, Prediction: 77230, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77230', 'Ground Truth': '77230'}\n",
      "Label: 64146, Prediction: 64146, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64146', 'Ground Truth': '64146'}\n",
      "Label: 25466, Prediction: 25466, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '25466', 'Ground Truth': '25466'}\n",
      "Label: 90143, Prediction: 90143, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '90143', 'Ground Truth': '90143'}\n",
      "Label: 15387, Prediction: 15387, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '15387', 'Ground Truth': '15387'}\n",
      "Label: 94387, Prediction: 94387, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '94387', 'Ground Truth': '94387'}\n",
      "Label: 75777, Prediction: 75777, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75777', 'Ground Truth': '75777'}\n",
      "Label: 21797, Prediction: 21777, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '21777', 'Ground Truth': '21797'}\n",
      "Label: 28419, Prediction: 28419, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28419', 'Ground Truth': '28419'}\n",
      "Label: 36236, Prediction: 36236, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36236', 'Ground Truth': '36236'}\n",
      "Label: 70410, Prediction: 70440, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '70440', 'Ground Truth': '70410'}\n",
      "Label: 14547, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14547'}\n",
      "Label: 66331, Prediction: 66341, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '66341', 'Ground Truth': '66331'}\n",
      "Label: 72360, Prediction: 72360, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72360', 'Ground Truth': '72360'}\n",
      "Label: 72706, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '72706'}\n",
      "Label: 16196, Prediction: 16196, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16196', 'Ground Truth': '16196'}\n",
      "Label: 70229, Prediction: 70229, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70229', 'Ground Truth': '70229'}\n",
      "Label: 10133, Prediction: 10133, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10133', 'Ground Truth': '10133'}\n",
      "Label: 51269, Prediction: 51269, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '51269', 'Ground Truth': '51269'}\n",
      "Label: 51506, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '51506'}\n",
      "Label: 02443, Prediction: 02443, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '02443', 'Ground Truth': '02443'}\n",
      "Label: 53622, Prediction: 53122, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '53122', 'Ground Truth': '53622'}\n",
      "Label: 25551, Prediction: 2555, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '2555', 'Ground Truth': '25551'}\n",
      "Label: 43163, Prediction: 43163, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '43163', 'Ground Truth': '43163'}\n",
      "Label: 85950, Prediction: 8090, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '8090', 'Ground Truth': '85950'}\n",
      "Label: 79972, Prediction: 79972, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79972', 'Ground Truth': '79972'}\n",
      "Label: 61434, Prediction: 61434, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61434', 'Ground Truth': '61434'}\n",
      "Label: 17732, Prediction: 1773, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1773', 'Ground Truth': '17732'}\n",
      "Label: 96508, Prediction: 96308, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '96308', 'Ground Truth': '96508'}\n",
      "Label: 11797, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11797'}\n",
      "Label: 42218, Prediction: 4028, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '4028', 'Ground Truth': '42218'}\n",
      "Label: 23267, Prediction: 23267, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '23267', 'Ground Truth': '23267'}\n",
      "Label: 72842, Prediction: 72842, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72842', 'Ground Truth': '72842'}\n",
      "Label: 09592, Prediction: 09592, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09592', 'Ground Truth': '09592'}\n",
      "Label: 69482, Prediction: 69282, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '69282', 'Ground Truth': '69482'}\n",
      "Label: 28950, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '28950'}\n",
      "Label: 21598, Prediction: 2298, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '2298', 'Ground Truth': '21598'}\n",
      "Label: 01002, Prediction: 01002, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01002', 'Ground Truth': '01002'}\n",
      "Label: 92061, Prediction: 92061, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '92061', 'Ground Truth': '92061'}\n",
      "Label: 02734, Prediction: 07734, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '07734', 'Ground Truth': '02734'}\n",
      "Label: 81944, Prediction: 81944, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81944', 'Ground Truth': '81944'}\n",
      "Label: 84487, Prediction: 84480, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '84480', 'Ground Truth': '84487'}\n",
      "Label: 81388, Prediction: 81388, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81388', 'Ground Truth': '81388'}\n",
      "Label: 74404, Prediction: 74404, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74404', 'Ground Truth': '74404'}\n",
      "Label: 89400, Prediction: 89400, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '89400', 'Ground Truth': '89400'}\n",
      "Label: 69015, Prediction: 69018, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '69018', 'Ground Truth': '69015'}\n",
      "Label: 43880, Prediction: 43800, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '43800', 'Ground Truth': '43880'}\n",
      "Label: 18811, Prediction: 18821, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '18821', 'Ground Truth': '18811'}\n",
      "Label: 60720, Prediction: 60720, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60720', 'Ground Truth': '60720'}\n",
      "Label: 10528, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '10528'}\n",
      "Label: 32687, Prediction: 32687, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32687', 'Ground Truth': '32687'}\n",
      "Label: 54982, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '54982'}\n",
      "Label: 19913, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '19913'}\n",
      "Label: 03005, Prediction: 03006, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '03006', 'Ground Truth': '03005'}\n",
      "Label: 71622, Prediction: 71622, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71622', 'Ground Truth': '71622'}\n",
      "Label: 25047, Prediction: 25047, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '25047', 'Ground Truth': '25047'}\n",
      "Label: 64466, Prediction: 644, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '644', 'Ground Truth': '64466'}\n",
      "Label: 15897, Prediction: 15897, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '15897', 'Ground Truth': '15897'}\n",
      "Label: 10814, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '10814'}\n",
      "Label: 01139, Prediction: 01139, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01139', 'Ground Truth': '01139'}\n",
      "Label: 84780, Prediction: 84780, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84780', 'Ground Truth': '84780'}\n",
      "Label: 34794, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34794'}\n",
      "Label: 47122, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47122'}\n",
      "Label: 96960, Prediction: 96960, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96960', 'Ground Truth': '96960'}\n",
      "Label: 97934, Prediction: 97934, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '97934', 'Ground Truth': '97934'}\n",
      "Label: 98118, Prediction: 98118, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '98118', 'Ground Truth': '98118'}\n",
      "Label: 16473, Prediction: 16473, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16473', 'Ground Truth': '16473'}\n",
      "Label: 61544, Prediction: 61544, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61544', 'Ground Truth': '61544'}\n",
      "Label: 12512, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '12512'}\n",
      "Label: 15807, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '15807'}\n",
      "Label: 17422, Prediction: 1742, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1742', 'Ground Truth': '17422'}\n",
      "Label: 11735, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11735'}\n",
      "Label: 80475, Prediction: 80405, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '80405', 'Ground Truth': '80475'}\n",
      "Label: 54255, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '54255'}\n",
      "Label: 65707, Prediction: 65707, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '65707', 'Ground Truth': '65707'}\n",
      "Label: 81056, Prediction: 81056, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81056', 'Ground Truth': '81056'}\n",
      "Label: 40584, Prediction: 40384, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '40384', 'Ground Truth': '40584'}\n",
      "Label: 99438, Prediction: 99438, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99438', 'Ground Truth': '99438'}\n",
      "Label: 98225, Prediction: 98225, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '98225', 'Ground Truth': '98225'}\n",
      "Label: 30905, Prediction: 30905, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '30905', 'Ground Truth': '30905'}\n",
      "Label: 55524, Prediction: 55324, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '55324', 'Ground Truth': '55524'}\n",
      "Label: 00208, Prediction: 00208, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00208', 'Ground Truth': '00208'}\n",
      "Label: 71963, Prediction: 71763, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '71763', 'Ground Truth': '71963'}\n",
      "Label: 64375, Prediction: 64375, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64375', 'Ground Truth': '64375'}\n",
      "Label: 74638, Prediction: 74638, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74638', 'Ground Truth': '74638'}\n",
      "Label: 96128, Prediction: 96128, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96128', 'Ground Truth': '96128'}\n",
      "Label: 36406, Prediction: 36406, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36406', 'Ground Truth': '36406'}\n",
      "Label: 60577, Prediction: 60377, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '60377', 'Ground Truth': '60577'}\n",
      "Label: 42995, Prediction: 4299, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '4299', 'Ground Truth': '42995'}\n",
      "Label: 68384, Prediction: 68384, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68384', 'Ground Truth': '68384'}\n",
      "Label: 25811, Prediction: 25811, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '25811', 'Ground Truth': '25811'}\n",
      "Label: 76234, Prediction: 76234, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '76234', 'Ground Truth': '76234'}\n",
      "Label: 76246, Prediction: 76246, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '76246', 'Ground Truth': '76246'}\n",
      "Label: 17734, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17734'}\n",
      "Label: 65532, Prediction: 65332, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '65332', 'Ground Truth': '65532'}\n",
      "Label: 72499, Prediction: 72489, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '72489', 'Ground Truth': '72499'}\n",
      "Label: 05089, Prediction: 0508, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '0508', 'Ground Truth': '05089'}\n",
      "Label: 65306, Prediction: 65306, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '65306', 'Ground Truth': '65306'}\n",
      "Label: 99814, Prediction: 99814, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99814', 'Ground Truth': '99814'}\n",
      "Label: 70969, Prediction: 70869, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '70869', 'Ground Truth': '70969'}\n",
      "Label: 99805, Prediction: 99808, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '99808', 'Ground Truth': '99805'}\n",
      "Label: 27058, Prediction: 27058, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27058', 'Ground Truth': '27058'}\n",
      "Label: 92250, Prediction: 92280, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '92280', 'Ground Truth': '92250'}\n",
      "Label: 61733, Prediction: 61733, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61733', 'Ground Truth': '61733'}\n",
      "Label: 14804, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14804'}\n",
      "Label: 38645, Prediction: 38445, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '38445', 'Ground Truth': '38645'}\n",
      "Label: 10647, Prediction: 70647, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '70647', 'Ground Truth': '10647'}\n",
      "Label: 71481, Prediction: 71481, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71481', 'Ground Truth': '71481'}\n",
      "Label: 81094, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '81094'}\n",
      "Label: 84986, Prediction: 84986, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84986', 'Ground Truth': '84986'}\n",
      "Label: 34214, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34214'}\n",
      "Label: 94633, Prediction: 94633, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '94633', 'Ground Truth': '94633'}\n",
      "Label: 83952, Prediction: 83952, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '83952', 'Ground Truth': '83952'}\n",
      "Label: 32915, Prediction: 02913, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '02913', 'Ground Truth': '32915'}\n",
      "Label: 07231, Prediction: 07234, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '07234', 'Ground Truth': '07231'}\n",
      "Label: 96890, Prediction: 96890, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96890', 'Ground Truth': '96890'}\n",
      "Label: 19901, Prediction: 19901, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '19901', 'Ground Truth': '19901'}\n",
      "Label: 03923, Prediction: 03923, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '03923', 'Ground Truth': '03923'}\n",
      "Label: 20647, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20647'}\n",
      "Label: 47566, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47566'}\n",
      "Label: 61834, Prediction: 61834, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61834', 'Ground Truth': '61834'}\n",
      "Label: 34978, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34978'}\n",
      "Label: 63897, Prediction: 63897, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63897', 'Ground Truth': '63897'}\n",
      "Label: 07413, Prediction: 07403, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '07403', 'Ground Truth': '07413'}\n",
      "Label: 32704, Prediction: 32704, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32704', 'Ground Truth': '32704'}\n",
      "Label: 72396, Prediction: 72386, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '72386', 'Ground Truth': '72396'}\n",
      "Label: 52557, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '52557'}\n",
      "Label: 94112, Prediction: 94112, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '94112', 'Ground Truth': '94112'}\n",
      "Label: 57212, Prediction: 57212, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57212', 'Ground Truth': '57212'}\n",
      "Label: 05722, Prediction: 0572, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '0572', 'Ground Truth': '05722'}\n",
      "Label: 66514, Prediction: 66514, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66514', 'Ground Truth': '66514'}\n",
      "Label: 41229, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41229'}\n",
      "Label: 42979, Prediction: 42909, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '42909', 'Ground Truth': '42979'}\n",
      "Label: 00048, Prediction: 00048, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00048', 'Ground Truth': '00048'}\n",
      "Label: 58192, Prediction: 58192, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '58192', 'Ground Truth': '58192'}\n",
      "Label: 89794, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '89794'}\n",
      "Label: 11561, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11561'}\n",
      "Label: 50724, Prediction: 50724, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50724', 'Ground Truth': '50724'}\n",
      "Label: 85999, Prediction: 95999, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '95999', 'Ground Truth': '85999'}\n",
      "Label: 46071, Prediction: 46071, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '46071', 'Ground Truth': '46071'}\n",
      "Label: 78508, Prediction: 78308, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '78308', 'Ground Truth': '78508'}\n",
      "Label: 36518, Prediction: 36518, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36518', 'Ground Truth': '36518'}\n",
      "Label: 75431, Prediction: 75431, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75431', 'Ground Truth': '75431'}\n",
      "Label: 39783, Prediction: 39783, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39783', 'Ground Truth': '39783'}\n",
      "Label: 00735, Prediction: 00735, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00735', 'Ground Truth': '00735'}\n",
      "Label: 55828, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '55828'}\n",
      "Label: 84388, Prediction: 84388, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84388', 'Ground Truth': '84388'}\n",
      "Label: 95201, Prediction: 95201, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95201', 'Ground Truth': '95201'}\n",
      "Label: 34632, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34632'}\n",
      "Label: 44112, Prediction: 44112, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '44112', 'Ground Truth': '44112'}\n",
      "Label: 58915, Prediction: 58918, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58918', 'Ground Truth': '58915'}\n",
      "Label: 06883, Prediction: 06882, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '06882', 'Ground Truth': '06883'}\n",
      "Label: 69913, Prediction: 69913, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69913', 'Ground Truth': '69913'}\n",
      "Label: 30478, Prediction: 30478, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '30478', 'Ground Truth': '30478'}\n",
      "Label: 46886, Prediction: 46876, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '46876', 'Ground Truth': '46886'}\n",
      "Label: 40047, Prediction: 40747, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '40747', 'Ground Truth': '40047'}\n",
      "Label: 60887, Prediction: 60887, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60887', 'Ground Truth': '60887'}\n",
      "Label: 54246, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '54246'}\n",
      "Label: 70919, Prediction: 70919, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70919', 'Ground Truth': '70919'}\n",
      "Label: 27588, Prediction: 27388, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '27388', 'Ground Truth': '27588'}\n",
      "Label: 11476, Prediction: 11876, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '11876', 'Ground Truth': '11476'}\n",
      "Label: 98420, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '98420'}\n",
      "Label: 44795, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44795'}\n",
      "Label: 63416, Prediction: 63416, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63416', 'Ground Truth': '63416'}\n",
      "Label: 27601, Prediction: 27601, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27601', 'Ground Truth': '27601'}\n",
      "Label: 58218, Prediction: 58118, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58118', 'Ground Truth': '58218'}\n",
      "Label: 93114, Prediction: 93114, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '93114', 'Ground Truth': '93114'}\n",
      "Label: 24392, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24392'}\n",
      "Label: 47313, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47313'}\n",
      "Label: 80808, Prediction: 80808, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80808', 'Ground Truth': '80808'}\n",
      "Label: 73615, Prediction: 73615, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '73615', 'Ground Truth': '73615'}\n",
      "Label: 02917, Prediction: 02917, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '02917', 'Ground Truth': '02917'}\n",
      "Label: 04111, Prediction: 04111, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '04111', 'Ground Truth': '04111'}\n",
      "Label: 17272, Prediction: 17272, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '17272', 'Ground Truth': '17272'}\n",
      "Label: 96273, Prediction: 96273, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96273', 'Ground Truth': '96273'}\n",
      "Label: 11465, Prediction: 11465, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11465', 'Ground Truth': '11465'}\n",
      "Label: 17393, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17393'}\n",
      "Label: 78166, Prediction: 78166, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78166', 'Ground Truth': '78166'}\n",
      "Label: 85523, Prediction: 85523, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85523', 'Ground Truth': '85523'}\n",
      "Label: 00546, Prediction: 00546, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00546', 'Ground Truth': '00546'}\n",
      "Label: 98884, Prediction: 98884, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '98884', 'Ground Truth': '98884'}\n",
      "Label: 23724, Prediction: 23724, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '23724', 'Ground Truth': '23724'}\n",
      "Label: 39067, Prediction: 39067, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39067', 'Ground Truth': '39067'}\n",
      "Label: 00398, Prediction: 00398, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00398', 'Ground Truth': '00398'}\n",
      "Label: 28615, Prediction: 38111, Result: {'Correct': False, 'Similarity': 0.40000000012000003, 'Prediction': '38111', 'Ground Truth': '28615'}\n",
      "Label: 46930, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '46930'}\n",
      "Label: 76690, Prediction: 76690, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '76690', 'Ground Truth': '76690'}\n",
      "Label: 03979, Prediction: 03979, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '03979', 'Ground Truth': '03979'}\n",
      "Label: 57460, Prediction: 57460, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57460', 'Ground Truth': '57460'}\n",
      "Label: 48632, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '48632'}\n",
      "Label: 77599, Prediction: 77594, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '77594', 'Ground Truth': '77599'}\n",
      "Label: 29195, Prediction: 29195, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '29195', 'Ground Truth': '29195'}\n",
      "Label: 06919, Prediction: 06910, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '06910', 'Ground Truth': '06919'}\n",
      "Label: 25290, Prediction: 35290, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '35290', 'Ground Truth': '25290'}\n",
      "Label: 44416, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44416'}\n",
      "Label: 02370, Prediction: 00370, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '00370', 'Ground Truth': '02370'}\n",
      "Label: 94868, Prediction: 948, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '948', 'Ground Truth': '94868'}\n",
      "Label: 19674, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '19674'}\n",
      "Label: 00879, Prediction: 00879, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00879', 'Ground Truth': '00879'}\n",
      "Label: 30680, Prediction: 30480, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '30480', 'Ground Truth': '30680'}\n",
      "Label: 89207, Prediction: 89207, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '89207', 'Ground Truth': '89207'}\n",
      "Label: 29436, Prediction: 29436, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '29436', 'Ground Truth': '29436'}\n",
      "Label: 11143, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11143'}\n",
      "Label: 05537, Prediction: 05537, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05537', 'Ground Truth': '05537'}\n",
      "Label: 60587, Prediction: 60389, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '60389', 'Ground Truth': '60587'}\n",
      "Label: 69807, Prediction: 69807, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69807', 'Ground Truth': '69807'}\n",
      "Label: 82020, Prediction: 82020, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '82020', 'Ground Truth': '82020'}\n",
      "Label: 35773, Prediction: 35773, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35773', 'Ground Truth': '35773'}\n",
      "Label: 68233, Prediction: 68233, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68233', 'Ground Truth': '68233'}\n",
      "Label: 95094, Prediction: 95094, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95094', 'Ground Truth': '95094'}\n",
      "Label: 66915, Prediction: 66918, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '66918', 'Ground Truth': '66915'}\n",
      "Label: 38108, Prediction: 38108, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '38108', 'Ground Truth': '38108'}\n",
      "Label: 18352, Prediction: 18352, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18352', 'Ground Truth': '18352'}\n",
      "Label: 33502, Prediction: 33102, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '33102', 'Ground Truth': '33502'}\n",
      "Label: 66052, Prediction: 6605, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '6605', 'Ground Truth': '66052'}\n",
      "Label: 55838, Prediction: 55338, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '55338', 'Ground Truth': '55838'}\n",
      "Label: 69166, Prediction: 69166, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69166', 'Ground Truth': '69166'}\n",
      "Label: 41198, Prediction: 41198, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '41198', 'Ground Truth': '41198'}\n",
      "Label: 31777, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '31777'}\n",
      "Label: 08046, Prediction: 08046, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '08046', 'Ground Truth': '08046'}\n",
      "Label: 32730, Prediction: 32780, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '32780', 'Ground Truth': '32730'}\n",
      "Label: 14106, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14106'}\n",
      "Label: 17121, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17121'}\n",
      "Label: 52517, Prediction: 52517, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52517', 'Ground Truth': '52517'}\n",
      "Label: 13164, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13164'}\n",
      "Label: 39835, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '39835'}\n",
      "Label: 09495, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '09495'}\n",
      "Label: 48054, Prediction: 48054, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '48054', 'Ground Truth': '48054'}\n",
      "Label: 11687, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11687'}\n",
      "Label: 87850, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '87850'}\n",
      "Label: 72422, Prediction: 7242, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '7242', 'Ground Truth': '72422'}\n",
      "Label: 10504, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '10504'}\n",
      "Label: 00610, Prediction: 0060, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '0060', 'Ground Truth': '00610'}\n",
      "Label: 00442, Prediction: 02442, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '02442', 'Ground Truth': '00442'}\n",
      "Label: 58414, Prediction: 58444, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58444', 'Ground Truth': '58414'}\n",
      "Label: 66528, Prediction: 66528, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66528', 'Ground Truth': '66528'}\n",
      "Label: 29756, Prediction: 29346, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '29346', 'Ground Truth': '29756'}\n",
      "Label: 30730, Prediction: 30730, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '30730', 'Ground Truth': '30730'}\n",
      "Label: 17787, Prediction: 17787, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '17787', 'Ground Truth': '17787'}\n",
      "Label: 90269, Prediction: 90269, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '90269', 'Ground Truth': '90269'}\n",
      "Label: 82115, Prediction: 92115, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '92115', 'Ground Truth': '82115'}\n",
      "Label: 68470, Prediction: 68470, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68470', 'Ground Truth': '68470'}\n",
      "Label: 21643, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21643'}\n",
      "Label: 34917, Prediction: 34917, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '34917', 'Ground Truth': '34917'}\n",
      "Label: 15358, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '15358'}\n",
      "Label: 60746, Prediction: 60746, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60746', 'Ground Truth': '60746'}\n",
      "Label: 45833, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '45833'}\n",
      "Label: 22152, Prediction: 32152, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '32152', 'Ground Truth': '22152'}\n",
      "Label: 06426, Prediction: 06426, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06426', 'Ground Truth': '06426'}\n",
      "Label: 75762, Prediction: 75262, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '75262', 'Ground Truth': '75762'}\n",
      "Label: 07153, Prediction: 07153, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07153', 'Ground Truth': '07153'}\n",
      "Label: 07470, Prediction: 07470, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07470', 'Ground Truth': '07470'}\n",
      "Label: 86844, Prediction: 86344, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '86344', 'Ground Truth': '86844'}\n",
      "Label: 88458, Prediction: 88458, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '88458', 'Ground Truth': '88458'}\n",
      "Label: 15997, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '15997'}\n",
      "Label: 78576, Prediction: 78576, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78576', 'Ground Truth': '78576'}\n",
      "Label: 80167, Prediction: 80167, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80167', 'Ground Truth': '80167'}\n",
      "Label: 36655, Prediction: 36855, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '36855', 'Ground Truth': '36655'}\n",
      "Label: 62729, Prediction: 6272, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '6272', 'Ground Truth': '62729'}\n",
      "Label: 69820, Prediction: 69820, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69820', 'Ground Truth': '69820'}\n",
      "Label: 26131, Prediction: 36131, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '36131', 'Ground Truth': '26131'}\n",
      "Label: 94708, Prediction: 94708, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '94708', 'Ground Truth': '94708'}\n",
      "Label: 82143, Prediction: 82143, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '82143', 'Ground Truth': '82143'}\n",
      "Label: 02222, Prediction: 02272, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '02272', 'Ground Truth': '02222'}\n",
      "Label: 71119, Prediction: 71179, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '71179', 'Ground Truth': '71119'}\n",
      "Label: 49883, Prediction: 49883, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '49883', 'Ground Truth': '49883'}\n",
      "Label: 35540, Prediction: 35440, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '35440', 'Ground Truth': '35540'}\n",
      "Label: 18392, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18392'}\n",
      "Label: 86873, Prediction: 86873, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '86873', 'Ground Truth': '86873'}\n",
      "Label: 17367, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17367'}\n",
      "Label: 81631, Prediction: 81631, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81631', 'Ground Truth': '81631'}\n",
      "Label: 52113, Prediction: 52103, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '52103', 'Ground Truth': '52113'}\n",
      "Label: 36104, Prediction: 36104, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36104', 'Ground Truth': '36104'}\n",
      "Label: 19197, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '19197'}\n",
      "Label: 79088, Prediction: 79088, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79088', 'Ground Truth': '79088'}\n",
      "Label: 79970, Prediction: 79970, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79970', 'Ground Truth': '79970'}\n",
      "Label: 71097, Prediction: 71097, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71097', 'Ground Truth': '71097'}\n",
      "Label: 19588, Prediction: 19588, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '19588', 'Ground Truth': '19588'}\n",
      "Label: 99777, Prediction: 99777, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99777', 'Ground Truth': '99777'}\n",
      "Label: 92289, Prediction: 92284, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '92284', 'Ground Truth': '92289'}\n",
      "Label: 15318, Prediction: 15318, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '15318', 'Ground Truth': '15318'}\n",
      "Label: 06831, Prediction: 06831, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06831', 'Ground Truth': '06831'}\n",
      "Label: 56899, Prediction: 5689, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '5689', 'Ground Truth': '56899'}\n",
      "Label: 97633, Prediction: 97638, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '97638', 'Ground Truth': '97633'}\n",
      "Label: 37312, Prediction: 37312, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '37312', 'Ground Truth': '37312'}\n",
      "Label: 18571, Prediction: 1077, Result: {'Correct': False, 'Similarity': 0.40000000012000003, 'Prediction': '1077', 'Ground Truth': '18571'}\n",
      "Label: 63398, Prediction: 63388, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '63388', 'Ground Truth': '63398'}\n",
      "Label: 17841, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17841'}\n",
      "Label: 67199, Prediction: 67199, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67199', 'Ground Truth': '67199'}\n",
      "Label: 60101, Prediction: 60101, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60101', 'Ground Truth': '60101'}\n",
      "Label: 74291, Prediction: 74291, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74291', 'Ground Truth': '74291'}\n",
      "Label: 82499, Prediction: 82490, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '82490', 'Ground Truth': '82499'}\n",
      "Label: 23103, Prediction: 23103, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '23103', 'Ground Truth': '23103'}\n",
      "Label: 38061, Prediction: 38081, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '38081', 'Ground Truth': '38061'}\n",
      "Label: 32472, Prediction: 32472, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32472', 'Ground Truth': '32472'}\n",
      "Label: 23766, Prediction: 33766, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '33766', 'Ground Truth': '23766'}\n",
      "Label: 22959, Prediction: 2290, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '2290', 'Ground Truth': '22959'}\n",
      "Label: 10634, Prediction: 10634, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10634', 'Ground Truth': '10634'}\n",
      "Label: 88521, Prediction: 88421, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '88421', 'Ground Truth': '88521'}\n",
      "Label: 02334, Prediction: 0234, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '0234', 'Ground Truth': '02334'}\n",
      "Label: 62378, Prediction: 62388, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '62388', 'Ground Truth': '62378'}\n",
      "Label: 16995, Prediction: 16995, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16995', 'Ground Truth': '16995'}\n",
      "Label: 01557, Prediction: 01559, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '01559', 'Ground Truth': '01557'}\n",
      "Label: 05981, Prediction: 05981, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05981', 'Ground Truth': '05981'}\n",
      "Label: 13776, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13776'}\n",
      "Label: 16669, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '16669'}\n",
      "Label: 54315, Prediction: 54315, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '54315', 'Ground Truth': '54315'}\n",
      "Label: 27846, Prediction: 27846, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27846', 'Ground Truth': '27846'}\n",
      "Label: 93844, Prediction: 93844, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '93844', 'Ground Truth': '93844'}\n",
      "Label: 06453, Prediction: 06453, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06453', 'Ground Truth': '06453'}\n",
      "Label: 88544, Prediction: 80344, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '80344', 'Ground Truth': '88544'}\n",
      "Label: 48696, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '48696'}\n",
      "Label: 17143, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17143'}\n",
      "Label: 14414, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14414'}\n",
      "Label: 88199, Prediction: 88199, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '88199', 'Ground Truth': '88199'}\n",
      "Label: 93985, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '93985'}\n",
      "Label: 91143, Prediction: 91143, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91143', 'Ground Truth': '91143'}\n",
      "Label: 11962, Prediction: 11962, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11962', 'Ground Truth': '11962'}\n",
      "Label: 18034, Prediction: 18034, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18034', 'Ground Truth': '18034'}\n",
      "Label: 11549, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11549'}\n",
      "Label: 89631, Prediction: 89631, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '89631', 'Ground Truth': '89631'}\n",
      "Label: 64837, Prediction: 64837, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64837', 'Ground Truth': '64837'}\n",
      "Label: 12864, Prediction: 12864, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12864', 'Ground Truth': '12864'}\n",
      "Label: 91173, Prediction: 91173, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91173', 'Ground Truth': '91173'}\n",
      "Label: 02358, Prediction: 0238, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '0238', 'Ground Truth': '02358'}\n",
      "Label: 84027, Prediction: 84027, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84027', 'Ground Truth': '84027'}\n",
      "Label: 99490, Prediction: 99490, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99490', 'Ground Truth': '99490'}\n",
      "Label: 75838, Prediction: 75338, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '75338', 'Ground Truth': '75838'}\n",
      "Label: 23307, Prediction: 23307, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '23307', 'Ground Truth': '23307'}\n",
      "Label: 65575, Prediction: 65875, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '65875', 'Ground Truth': '65575'}\n",
      "Label: 15381, Prediction: 1538, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1538', 'Ground Truth': '15381'}\n",
      "Label: 86865, Prediction: 8686, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '8686', 'Ground Truth': '86865'}\n",
      "Label: 17513, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17513'}\n",
      "Label: 18333, Prediction: 18333, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18333', 'Ground Truth': '18333'}\n",
      "Label: 78226, Prediction: 78226, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78226', 'Ground Truth': '78226'}\n",
      "Label: 97880, Prediction: 97880, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '97880', 'Ground Truth': '97880'}\n",
      "Label: 23502, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23502'}\n",
      "Label: 70494, Prediction: 70404, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '70404', 'Ground Truth': '70494'}\n",
      "Label: 83314, Prediction: 83314, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '83314', 'Ground Truth': '83314'}\n",
      "Label: 99627, Prediction: 99627, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99627', 'Ground Truth': '99627'}\n",
      "Label: 68847, Prediction: 68847, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68847', 'Ground Truth': '68847'}\n",
      "Label: 90542, Prediction: 90342, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '90342', 'Ground Truth': '90542'}\n",
      "Label: 87800, Prediction: 87800, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87800', 'Ground Truth': '87800'}\n",
      "Label: 01336, Prediction: 01336, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01336', 'Ground Truth': '01336'}\n",
      "Label: 52722, Prediction: 5272, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '5272', 'Ground Truth': '52722'}\n",
      "Label: 80912, Prediction: 80912, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80912', 'Ground Truth': '80912'}\n",
      "Label: 66433, Prediction: 6643, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '6643', 'Ground Truth': '66433'}\n",
      "Label: 34335, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34335'}\n",
      "Label: 36240, Prediction: 36240, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36240', 'Ground Truth': '36240'}\n",
      "Label: 17635, Prediction: 17635, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '17635', 'Ground Truth': '17635'}\n",
      "Label: 55793, Prediction: 55793, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '55793', 'Ground Truth': '55793'}\n",
      "Label: 79027, Prediction: 79027, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79027', 'Ground Truth': '79027'}\n",
      "Label: 66462, Prediction: 66402, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '66402', 'Ground Truth': '66462'}\n",
      "Label: 78264, Prediction: 78264, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78264', 'Ground Truth': '78264'}\n",
      "Label: 54239, Prediction: 54239, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '54239', 'Ground Truth': '54239'}\n",
      "Label: 60204, Prediction: 60204, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60204', 'Ground Truth': '60204'}\n",
      "Label: 63182, Prediction: 63182, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63182', 'Ground Truth': '63182'}\n",
      "Label: 43857, Prediction: 4385, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '4385', 'Ground Truth': '43857'}\n",
      "Label: 03741, Prediction: 03741, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '03741', 'Ground Truth': '03741'}\n",
      "Label: 32828, Prediction: 32828, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32828', 'Ground Truth': '32828'}\n",
      "Label: 28592, Prediction: 28592, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28592', 'Ground Truth': '28592'}\n",
      "Label: 45382, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '45382'}\n",
      "Label: 12196, Prediction: 12196, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12196', 'Ground Truth': '12196'}\n",
      "Label: 66225, Prediction: 66225, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66225', 'Ground Truth': '66225'}\n",
      "Label: 28617, Prediction: 28607, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '28607', 'Ground Truth': '28617'}\n",
      "Label: 77754, Prediction: 77734, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '77734', 'Ground Truth': '77754'}\n",
      "Label: 36147, Prediction: 36147, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36147', 'Ground Truth': '36147'}\n",
      "Label: 88482, Prediction: 8848, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '8848', 'Ground Truth': '88482'}\n",
      "Label: 72260, Prediction: 72260, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72260', 'Ground Truth': '72260'}\n",
      "Label: 60087, Prediction: 60087, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60087', 'Ground Truth': '60087'}\n",
      "Label: 59175, Prediction: 59175, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59175', 'Ground Truth': '59175'}\n",
      "Label: 38115, Prediction: 38115, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '38115', 'Ground Truth': '38115'}\n",
      "Label: 12024, Prediction: 12024, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12024', 'Ground Truth': '12024'}\n",
      "Label: 77853, Prediction: 77853, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77853', 'Ground Truth': '77853'}\n",
      "Label: 03292, Prediction: 03292, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '03292', 'Ground Truth': '03292'}\n",
      "Label: 35863, Prediction: 35863, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35863', 'Ground Truth': '35863'}\n",
      "Label: 85190, Prediction: 85190, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85190', 'Ground Truth': '85190'}\n",
      "Label: 34227, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34227'}\n",
      "Label: 77443, Prediction: 77443, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77443', 'Ground Truth': '77443'}\n",
      "Label: 09795, Prediction: 09795, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09795', 'Ground Truth': '09795'}\n",
      "Label: 27399, Prediction: 27394, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '27394', 'Ground Truth': '27399'}\n",
      "Label: 34299, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34299'}\n",
      "Label: 80085, Prediction: 80085, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80085', 'Ground Truth': '80085'}\n",
      "Label: 38259, Prediction: 3828, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '3828', 'Ground Truth': '38259'}\n",
      "Label: 58299, Prediction: 56299, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '56299', 'Ground Truth': '58299'}\n",
      "Label: 21247, Prediction: 21247, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '21247', 'Ground Truth': '21247'}\n",
      "Label: 23286, Prediction: 03286, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '03286', 'Ground Truth': '23286'}\n",
      "Label: 92633, Prediction: 92635, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '92635', 'Ground Truth': '92633'}\n",
      "Label: 65120, Prediction: 65120, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '65120', 'Ground Truth': '65120'}\n",
      "Label: 59191, Prediction: 59191, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59191', 'Ground Truth': '59191'}\n",
      "Label: 24788, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24788'}\n",
      "Label: 77872, Prediction: 77872, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77872', 'Ground Truth': '77872'}\n",
      "Label: 84601, Prediction: 84601, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84601', 'Ground Truth': '84601'}\n",
      "Label: 74075, Prediction: 74075, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74075', 'Ground Truth': '74075'}\n",
      "Label: 19617, Prediction: 19647, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '19647', 'Ground Truth': '19617'}\n",
      "Label: 49743, Prediction: 49742, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '49742', 'Ground Truth': '49743'}\n",
      "Label: 11369, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11369'}\n",
      "Label: 57597, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '57597'}\n",
      "Label: 89781, Prediction: 89131, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '89131', 'Ground Truth': '89781'}\n",
      "Label: 56449, Prediction: 56449, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56449', 'Ground Truth': '56449'}\n",
      "Label: 58397, Prediction: 58297, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58297', 'Ground Truth': '58397'}\n",
      "Label: 52881, Prediction: 52881, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52881', 'Ground Truth': '52881'}\n",
      "Label: 64709, Prediction: 64709, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64709', 'Ground Truth': '64709'}\n",
      "Label: 91307, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '91307'}\n",
      "Label: 33012, Prediction: 33012, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '33012', 'Ground Truth': '33012'}\n",
      "Label: 62559, Prediction: 62559, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '62559', 'Ground Truth': '62559'}\n",
      "Label: 23223, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23223'}\n",
      "Label: 60245, Prediction: 60245, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60245', 'Ground Truth': '60245'}\n",
      "Label: 51703, Prediction: 51703, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '51703', 'Ground Truth': '51703'}\n",
      "Label: 59774, Prediction: 59774, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59774', 'Ground Truth': '59774'}\n",
      "Label: 27847, Prediction: 27847, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27847', 'Ground Truth': '27847'}\n",
      "Label: 17584, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17584'}\n",
      "Label: 54474, Prediction: 54474, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '54474', 'Ground Truth': '54474'}\n",
      "Label: 68489, Prediction: 68489, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68489', 'Ground Truth': '68489'}\n",
      "Label: 73783, Prediction: 93783, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '93783', 'Ground Truth': '73783'}\n",
      "Label: 31466, Prediction: 31486, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '31486', 'Ground Truth': '31466'}\n",
      "Label: 49760, Prediction: 49760, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '49760', 'Ground Truth': '49760'}\n",
      "Label: 24319, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24319'}\n",
      "Label: 81598, Prediction: 81598, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81598', 'Ground Truth': '81598'}\n",
      "Label: 01941, Prediction: 01941, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01941', 'Ground Truth': '01941'}\n",
      "Label: 12520, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '12520'}\n",
      "Label: 85900, Prediction: 85900, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85900', 'Ground Truth': '85900'}\n",
      "Label: 47470, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47470'}\n",
      "Label: 72469, Prediction: 73469, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '73469', 'Ground Truth': '72469'}\n",
      "Label: 58181, Prediction: 58181, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '58181', 'Ground Truth': '58181'}\n",
      "Label: 12527, Prediction: 12527, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12527', 'Ground Truth': '12527'}\n",
      "Label: 41411, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41411'}\n",
      "Label: 23843, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23843'}\n",
      "Label: 16797, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '16797'}\n",
      "Label: 39122, Prediction: 39122, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39122', 'Ground Truth': '39122'}\n",
      "Label: 32956, Prediction: 32936, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '32936', 'Ground Truth': '32956'}\n",
      "Label: 37171, Prediction: 37121, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '37121', 'Ground Truth': '37171'}\n",
      "Label: 40628, Prediction: 40628, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40628', 'Ground Truth': '40628'}\n",
      "Label: 07322, Prediction: 07322, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07322', 'Ground Truth': '07322'}\n",
      "Label: 29706, Prediction: 29706, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '29706', 'Ground Truth': '29706'}\n",
      "Label: 80186, Prediction: 80186, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80186', 'Ground Truth': '80186'}\n",
      "Label: 86935, Prediction: 86905, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '86905', 'Ground Truth': '86935'}\n",
      "Label: 14069, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14069'}\n",
      "Label: 24975, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24975'}\n",
      "Label: 92404, Prediction: 42404, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '42404', 'Ground Truth': '92404'}\n",
      "Label: 74167, Prediction: 79107, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '79107', 'Ground Truth': '74167'}\n",
      "Label: 36091, Prediction: 36091, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36091', 'Ground Truth': '36091'}\n",
      "Label: 49280, Prediction: 49280, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '49280', 'Ground Truth': '49280'}\n",
      "Label: 14109, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14109'}\n",
      "Label: 97175, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '97175'}\n",
      "Label: 53795, Prediction: 53795, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '53795', 'Ground Truth': '53795'}\n",
      "Label: 97789, Prediction: 97788, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '97788', 'Ground Truth': '97789'}\n",
      "Label: 63173, Prediction: 63173, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63173', 'Ground Truth': '63173'}\n",
      "Label: 03264, Prediction: 03264, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '03264', 'Ground Truth': '03264'}\n",
      "Label: 05222, Prediction: 05222, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05222', 'Ground Truth': '05222'}\n",
      "Label: 05185, Prediction: 05185, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05185', 'Ground Truth': '05185'}\n",
      "Label: 76863, Prediction: 76868, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '76868', 'Ground Truth': '76863'}\n",
      "Label: 22520, Prediction: 02920, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '02920', 'Ground Truth': '22520'}\n",
      "Label: 31223, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '31223'}\n",
      "Label: 56914, Prediction: 56914, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56914', 'Ground Truth': '56914'}\n",
      "Label: 04657, Prediction: 04687, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '04687', 'Ground Truth': '04657'}\n",
      "Label: 93234, Prediction: 93234, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '93234', 'Ground Truth': '93234'}\n",
      "Label: 39754, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '39754'}\n",
      "Label: 87585, Prediction: 87585, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87585', 'Ground Truth': '87585'}\n",
      "Label: 90406, Prediction: 90408, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '90408', 'Ground Truth': '90406'}\n",
      "Label: 42742, Prediction: 42740, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '42740', 'Ground Truth': '42742'}\n",
      "Label: 87157, Prediction: 87157, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87157', 'Ground Truth': '87157'}\n",
      "Label: 18099, Prediction: 18099, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18099', 'Ground Truth': '18099'}\n",
      "Label: 35302, Prediction: 35302, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35302', 'Ground Truth': '35302'}\n",
      "Label: 84299, Prediction: 84299, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84299', 'Ground Truth': '84299'}\n",
      "Label: 43121, Prediction: 43121, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '43121', 'Ground Truth': '43121'}\n",
      "Label: 61288, Prediction: 61288, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61288', 'Ground Truth': '61288'}\n",
      "Label: 53840, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '53840'}\n",
      "Label: 23657, Prediction: 23607, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '23607', 'Ground Truth': '23657'}\n",
      "Label: 03655, Prediction: 03601, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '03601', 'Ground Truth': '03655'}\n",
      "Label: 64974, Prediction: 64974, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64974', 'Ground Truth': '64974'}\n",
      "Label: 32839, Prediction: 32839, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32839', 'Ground Truth': '32839'}\n",
      "Label: 22287, Prediction: 22387, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '22387', 'Ground Truth': '22287'}\n",
      "Label: 28427, Prediction: 29427, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '29427', 'Ground Truth': '28427'}\n",
      "Label: 03443, Prediction: 0344, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '0344', 'Ground Truth': '03443'}\n",
      "Label: 80949, Prediction: 3094, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '3094', 'Ground Truth': '80949'}\n",
      "Label: 61499, Prediction: 61494, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '61494', 'Ground Truth': '61499'}\n",
      "Label: 51524, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '51524'}\n",
      "Label: 57478, Prediction: 52470, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '52470', 'Ground Truth': '57478'}\n",
      "Label: 96207, Prediction: 96207, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96207', 'Ground Truth': '96207'}\n",
      "Label: 04200, Prediction: 04000, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '04000', 'Ground Truth': '04200'}\n",
      "Label: 20341, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20341'}\n",
      "Label: 32417, Prediction: 32417, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32417', 'Ground Truth': '32417'}\n",
      "Label: 41152, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41152'}\n",
      "Label: 93475, Prediction: 93475, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '93475', 'Ground Truth': '93475'}\n",
      "Label: 16728, Prediction: 16728, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16728', 'Ground Truth': '16728'}\n",
      "Label: 07224, Prediction: 07224, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07224', 'Ground Truth': '07224'}\n",
      "Label: 56007, Prediction: 56007, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56007', 'Ground Truth': '56007'}\n",
      "Label: 17470, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17470'}\n",
      "Label: 30304, Prediction: 30304, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '30304', 'Ground Truth': '30304'}\n",
      "Label: 67537, Prediction: 67537, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67537', 'Ground Truth': '67537'}\n",
      "Label: 56920, Prediction: 56720, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '56720', 'Ground Truth': '56920'}\n",
      "Label: 65344, Prediction: 65344, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '65344', 'Ground Truth': '65344'}\n",
      "Label: 84224, Prediction: 84224, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84224', 'Ground Truth': '84224'}\n",
      "Label: 40700, Prediction: 40700, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40700', 'Ground Truth': '40700'}\n",
      "Label: 54624, Prediction: 54424, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '54424', 'Ground Truth': '54624'}\n",
      "Label: 70629, Prediction: 70629, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70629', 'Ground Truth': '70629'}\n",
      "Label: 53618, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '53618'}\n",
      "Label: 72798, Prediction: 72798, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72798', 'Ground Truth': '72798'}\n",
      "Label: 48332, Prediction: 48302, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '48302', 'Ground Truth': '48332'}\n",
      "Label: 35279, Prediction: 35299, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '35299', 'Ground Truth': '35279'}\n",
      "Label: 73462, Prediction: 73462, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '73462', 'Ground Truth': '73462'}\n",
      "Label: 41587, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41587'}\n",
      "Label: 83853, Prediction: 8383, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '8383', 'Ground Truth': '83853'}\n",
      "Label: 43241, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43241'}\n",
      "Label: 61360, Prediction: 61360, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61360', 'Ground Truth': '61360'}\n",
      "Label: 63936, Prediction: 63936, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63936', 'Ground Truth': '63936'}\n",
      "Label: 98196, Prediction: 98196, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '98196', 'Ground Truth': '98196'}\n",
      "Label: 18682, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18682'}\n",
      "Label: 81776, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '81776'}\n",
      "Label: 08106, Prediction: 08106, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '08106', 'Ground Truth': '08106'}\n",
      "Label: 42468, Prediction: 42448, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '42448', 'Ground Truth': '42468'}\n",
      "Label: 57909, Prediction: 5790, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '5790', 'Ground Truth': '57909'}\n",
      "Label: 75500, Prediction: 75300, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '75300', 'Ground Truth': '75500'}\n",
      "Label: 93501, Prediction: 93301, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '93301', 'Ground Truth': '93501'}\n",
      "Label: 13532, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13532'}\n",
      "Label: 35455, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '35455'}\n",
      "Label: 29515, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '29515'}\n",
      "Label: 35600, Prediction: 35600, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35600', 'Ground Truth': '35600'}\n",
      "Label: 11497, Prediction: 1149, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1149', 'Ground Truth': '11497'}\n",
      "Label: 49769, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '49769'}\n",
      "Label: 60529, Prediction: 60329, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '60329', 'Ground Truth': '60529'}\n",
      "Label: 11162, Prediction: 11162, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11162', 'Ground Truth': '11162'}\n",
      "Label: 36740, Prediction: 36740, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36740', 'Ground Truth': '36740'}\n",
      "Label: 55201, Prediction: 55201, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '55201', 'Ground Truth': '55201'}\n",
      "Label: 20191, Prediction: 00191, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '00191', 'Ground Truth': '20191'}\n",
      "Label: 43688, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43688'}\n",
      "Label: 11777, Prediction: 11777, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11777', 'Ground Truth': '11777'}\n",
      "Label: 28623, Prediction: 28423, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '28423', 'Ground Truth': '28623'}\n",
      "Label: 42952, Prediction: 42952, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42952', 'Ground Truth': '42952'}\n",
      "Label: 19817, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '19817'}\n",
      "Label: 14067, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14067'}\n",
      "Label: 09138, Prediction: 09138, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09138', 'Ground Truth': '09138'}\n",
      "Label: 25080, Prediction: 25080, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '25080', 'Ground Truth': '25080'}\n",
      "Label: 01809, Prediction: 01809, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01809', 'Ground Truth': '01809'}\n",
      "Label: 74643, Prediction: 74643, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74643', 'Ground Truth': '74643'}\n",
      "Label: 79703, Prediction: 79703, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79703', 'Ground Truth': '79703'}\n",
      "Label: 06258, Prediction: 06258, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06258', 'Ground Truth': '06258'}\n",
      "Label: 38348, Prediction: 38344, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '38344', 'Ground Truth': '38348'}\n",
      "Label: 33897, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '33897'}\n",
      "Label: 78327, Prediction: 78327, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78327', 'Ground Truth': '78327'}\n",
      "Label: 11792, Prediction: 11792, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11792', 'Ground Truth': '11792'}\n",
      "Label: 32004, Prediction: 32004, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32004', 'Ground Truth': '32004'}\n",
      "Label: 71448, Prediction: 74448, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '74448', 'Ground Truth': '71448'}\n",
      "Label: 31791, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '31791'}\n",
      "Label: 15956, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '15956'}\n",
      "Label: 31187, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '31187'}\n",
      "Label: 85220, Prediction: 85020, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '85020', 'Ground Truth': '85220'}\n",
      "Label: 01345, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '01345'}\n",
      "Label: 72701, Prediction: 72701, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72701', 'Ground Truth': '72701'}\n",
      "Label: 62993, Prediction: 62993, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '62993', 'Ground Truth': '62993'}\n",
      "Label: 37784, Prediction: 37184, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '37184', 'Ground Truth': '37784'}\n",
      "Label: 26544, Prediction: 26344, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '26344', 'Ground Truth': '26544'}\n",
      "Label: 40950, Prediction: 40 950, Result: {'Correct': False, 'Similarity': 1.0, 'Prediction': '40 950', 'Ground Truth': '40950'}\n",
      "Label: 23109, Prediction: 23169, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '23169', 'Ground Truth': '23109'}\n",
      "Label: 39592, Prediction: 39892, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '39892', 'Ground Truth': '39592'}\n",
      "Label: 34924, Prediction: 34924, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '34924', 'Ground Truth': '34924'}\n",
      "Label: 22544, Prediction: 22544, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '22544', 'Ground Truth': '22544'}\n",
      "Label: 29629, Prediction: 29429, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '29429', 'Ground Truth': '29629'}\n",
      "Label: 99761, Prediction: 99761, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99761', 'Ground Truth': '99761'}\n",
      "Label: 53500, Prediction: 53500, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '53500', 'Ground Truth': '53500'}\n",
      "Label: 07312, Prediction: 07312, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07312', 'Ground Truth': '07312'}\n",
      "Label: 41450, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41450'}\n",
      "Label: 49993, Prediction: 4993, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '4993', 'Ground Truth': '49993'}\n",
      "Label: 63781, Prediction: 63781, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63781', 'Ground Truth': '63781'}\n",
      "Label: 18850, Prediction: 18860, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '18860', 'Ground Truth': '18850'}\n",
      "Label: 41806, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41806'}\n",
      "Label: 71462, Prediction: 714, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '714', 'Ground Truth': '71462'}\n",
      "Label: 88885, Prediction: 88825, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '88825', 'Ground Truth': '88885'}\n",
      "Label: 25774, Prediction: 25774, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '25774', 'Ground Truth': '25774'}\n",
      "Label: 14210, Prediction: 14210, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '14210', 'Ground Truth': '14210'}\n",
      "Label: 54112, Prediction: 54112, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '54112', 'Ground Truth': '54112'}\n",
      "Label: 44928, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44928'}\n",
      "Label: 59575, Prediction: 59775, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '59775', 'Ground Truth': '59575'}\n",
      "Label: 36751, Prediction: 36754, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '36754', 'Ground Truth': '36751'}\n",
      "Label: 07508, Prediction: 07308, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '07308', 'Ground Truth': '07508'}\n",
      "Label: 94761, Prediction: 94761, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '94761', 'Ground Truth': '94761'}\n",
      "Label: 27963, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '27963'}\n",
      "Label: 95810, Prediction: 95810, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95810', 'Ground Truth': '95810'}\n",
      "Label: 57985, Prediction: 57985, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57985', 'Ground Truth': '57985'}\n",
      "Label: 46128, Prediction: 46128, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '46128', 'Ground Truth': '46128'}\n",
      "Label: 87584, Prediction: 87584, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87584', 'Ground Truth': '87584'}\n",
      "Label: 73681, Prediction: 73691, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '73691', 'Ground Truth': '73681'}\n",
      "Label: 09355, Prediction: 09355, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09355', 'Ground Truth': '09355'}\n",
      "Label: 28036, Prediction: 28036, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28036', 'Ground Truth': '28036'}\n",
      "Label: 02534, Prediction: 02534, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '02534', 'Ground Truth': '02534'}\n",
      "Label: 09315, Prediction: 09310, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '09310', 'Ground Truth': '09315'}\n",
      "Label: 29680, Prediction: 29880, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '29880', 'Ground Truth': '29680'}\n",
      "Label: 00929, Prediction: 00929, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00929', 'Ground Truth': '00929'}\n",
      "Label: 53090, Prediction: 53090, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '53090', 'Ground Truth': '53090'}\n",
      "Label: 83546, Prediction: 83346, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '83346', 'Ground Truth': '83546'}\n",
      "Label: 77913, Prediction: 77913, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77913', 'Ground Truth': '77913'}\n",
      "Label: 57845, Prediction: 57845, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57845', 'Ground Truth': '57845'}\n",
      "Label: 71628, Prediction: 71828, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '71828', 'Ground Truth': '71628'}\n",
      "Label: 41983, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41983'}\n",
      "Label: 61856, Prediction: 618, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '618', 'Ground Truth': '61856'}\n",
      "Label: 08242, Prediction: 08242, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '08242', 'Ground Truth': '08242'}\n",
      "Label: 95058, Prediction: 95058, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95058', 'Ground Truth': '95058'}\n",
      "Label: 32744, Prediction: 3074, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '3074', 'Ground Truth': '32744'}\n",
      "Label: 43851, Prediction: 43881, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '43881', 'Ground Truth': '43851'}\n",
      "Label: 34026, Prediction: 34026, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '34026', 'Ground Truth': '34026'}\n",
      "Label: 45127, Prediction: 45127, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '45127', 'Ground Truth': '45127'}\n",
      "Label: 37117, Prediction: 37117, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '37117', 'Ground Truth': '37117'}\n",
      "Label: 85880, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '85880'}\n",
      "Label: 00880, Prediction: 00880, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00880', 'Ground Truth': '00880'}\n",
      "Label: 40057, Prediction: 40057, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40057', 'Ground Truth': '40057'}\n",
      "Label: 07009, Prediction: 07209, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '07209', 'Ground Truth': '07009'}\n",
      "Label: 23870, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23870'}\n",
      "Label: 35849, Prediction: 35849, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35849', 'Ground Truth': '35849'}\n",
      "Label: 47268, Prediction: 42288, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '42288', 'Ground Truth': '47268'}\n",
      "Label: 84399, Prediction: 84399, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84399', 'Ground Truth': '84399'}\n",
      "Label: 95817, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '95817'}\n",
      "Label: 99115, Prediction: 99115, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99115', 'Ground Truth': '99115'}\n",
      "Label: 91247, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '91247'}\n",
      "Label: 70369, Prediction: 70369, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70369', 'Ground Truth': '70369'}\n",
      "Label: 33086, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '33086'}\n",
      "Label: 97211, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '97211'}\n",
      "Label: 22428, Prediction: 22424, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '22424', 'Ground Truth': '22428'}\n",
      "Label: 96336, Prediction: 96336, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96336', 'Ground Truth': '96336'}\n",
      "Label: 57489, Prediction: 57489, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57489', 'Ground Truth': '57489'}\n",
      "Label: 85907, Prediction: 85907, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85907', 'Ground Truth': '85907'}\n",
      "Label: 70666, Prediction: 70666, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70666', 'Ground Truth': '70666'}\n",
      "Label: 49403, Prediction: 49408, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '49408', 'Ground Truth': '49403'}\n",
      "Label: 23146, Prediction: 23146, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '23146', 'Ground Truth': '23146'}\n",
      "Label: 72111, Prediction: 72111, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72111', 'Ground Truth': '72111'}\n",
      "Label: 11741, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11741'}\n",
      "Label: 68667, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '68667'}\n",
      "Label: 09042, Prediction: 09022, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '09022', 'Ground Truth': '09042'}\n",
      "Label: 77824, Prediction: 77824, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77824', 'Ground Truth': '77824'}\n",
      "Label: 79771, Prediction: 29771, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '29771', 'Ground Truth': '79771'}\n",
      "Label: 19292, Prediction: 19272, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '19272', 'Ground Truth': '19292'}\n",
      "Label: 86457, Prediction: 86407, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '86407', 'Ground Truth': '86457'}\n",
      "Label: 87741, Prediction: 87741, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87741', 'Ground Truth': '87741'}\n",
      "Label: 84221, Prediction: 84221, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84221', 'Ground Truth': '84221'}\n",
      "Label: 21734, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21734'}\n",
      "Label: 40187, Prediction: 40107, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '40107', 'Ground Truth': '40187'}\n",
      "Label: 42996, Prediction: 4299, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '4299', 'Ground Truth': '42996'}\n",
      "Label: 19210, Prediction: 1920, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1920', 'Ground Truth': '19210'}\n",
      "Label: 04136, Prediction: 04126, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '04126', 'Ground Truth': '04136'}\n",
      "Label: 33517, Prediction: 33517, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '33517', 'Ground Truth': '33517'}\n",
      "Label: 39062, Prediction: 39062, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39062', 'Ground Truth': '39062'}\n",
      "Label: 79013, Prediction: 79213, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '79213', 'Ground Truth': '79013'}\n",
      "Label: 06791, Prediction: 06791, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06791', 'Ground Truth': '06791'}\n",
      "Label: 56241, Prediction: 56241, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56241', 'Ground Truth': '56241'}\n",
      "Label: 00253, Prediction: 00253, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00253', 'Ground Truth': '00253'}\n",
      "Label: 15853, Prediction: 15883, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '15883', 'Ground Truth': '15853'}\n",
      "Label: 59072, Prediction: 59072, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59072', 'Ground Truth': '59072'}\n",
      "Label: 00551, Prediction: 00551, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00551', 'Ground Truth': '00551'}\n",
      "Label: 03414, Prediction: 03444, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '03444', 'Ground Truth': '03414'}\n",
      "Label: 52052, Prediction: 52032, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '52032', 'Ground Truth': '52052'}\n",
      "Label: 82317, Prediction: 82317, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '82317', 'Ground Truth': '82317'}\n",
      "Label: 74937, Prediction: 74937, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74937', 'Ground Truth': '74937'}\n",
      "Label: 69477, Prediction: 69477, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69477', 'Ground Truth': '69477'}\n",
      "Label: 05267, Prediction: 05267, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05267', 'Ground Truth': '05267'}\n",
      "Label: 30551, Prediction: 3050, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '3050', 'Ground Truth': '30551'}\n",
      "Label: 01853, Prediction: 01833, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '01833', 'Ground Truth': '01853'}\n",
      "Label: 06976, Prediction: 04976, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '04976', 'Ground Truth': '06976'}\n",
      "Label: 31030, Prediction: 31030, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '31030', 'Ground Truth': '31030'}\n",
      "Label: 82675, Prediction: 82675, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '82675', 'Ground Truth': '82675'}\n",
      "Label: 28210, Prediction: 28210, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28210', 'Ground Truth': '28210'}\n",
      "Label: 29478, Prediction: 29478, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '29478', 'Ground Truth': '29478'}\n",
      "Label: 34491, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34491'}\n",
      "Label: 86298, Prediction: 86298, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '86298', 'Ground Truth': '86298'}\n",
      "Label: 32767, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '32767'}\n",
      "Label: 27710, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '27710'}\n",
      "Label: 18374, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18374'}\n",
      "Label: 13977, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13977'}\n",
      "Label: 80962, Prediction: 80960, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '80960', 'Ground Truth': '80962'}\n",
      "Label: 57801, Prediction: 57801, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57801', 'Ground Truth': '57801'}\n",
      "Label: 43608, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43608'}\n",
      "Label: 70866, Prediction: 7086, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '7086', 'Ground Truth': '70866'}\n",
      "Label: 86402, Prediction: 86402, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '86402', 'Ground Truth': '86402'}\n",
      "Label: 04120, Prediction: 04120, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '04120', 'Ground Truth': '04120'}\n",
      "Label: 99530, Prediction: 99530, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99530', 'Ground Truth': '99530'}\n",
      "Label: 86195, Prediction: 86195, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '86195', 'Ground Truth': '86195'}\n",
      "Label: 42477, Prediction: 42477, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42477', 'Ground Truth': '42477'}\n",
      "Label: 32903, Prediction: 32903, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32903', 'Ground Truth': '32903'}\n",
      "Label: 13622, Prediction: 13622, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '13622', 'Ground Truth': '13622'}\n",
      "Label: 24262, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24262'}\n",
      "Label: 23286, Prediction: 23288, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '23288', 'Ground Truth': '23286'}\n",
      "Label: 46242, Prediction: 46242, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '46242', 'Ground Truth': '46242'}\n",
      "Label: 04790, Prediction: 04790, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '04790', 'Ground Truth': '04790'}\n",
      "Label: 13267, Prediction: 13267, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '13267', 'Ground Truth': '13267'}\n",
      "Label: 79977, Prediction: 79977, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79977', 'Ground Truth': '79977'}\n",
      "Label: 98200, Prediction: 58200, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58200', 'Ground Truth': '98200'}\n",
      "Label: 18709, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18709'}\n",
      "Label: 74756, Prediction: 74756, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74756', 'Ground Truth': '74756'}\n",
      "Label: 14796, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14796'}\n",
      "Label: 90742, Prediction: 9078, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '9078', 'Ground Truth': '90742'}\n",
      "Label: 14059, Prediction: 44039, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '44039', 'Ground Truth': '14059'}\n",
      "Label: 13373, Prediction: 13370, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '13370', 'Ground Truth': '13373'}\n",
      "Label: 57590, Prediction: 520, Result: {'Correct': False, 'Similarity': 0.40000000012000003, 'Prediction': '520', 'Ground Truth': '57590'}\n",
      "Label: 23289, Prediction: 23299, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '23299', 'Ground Truth': '23289'}\n",
      "Label: 15351, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '15351'}\n",
      "Label: 88462, Prediction: 88460, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '88460', 'Ground Truth': '88462'}\n",
      "Label: 86106, Prediction: 86104, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '86104', 'Ground Truth': '86106'}\n",
      "Label: 16754, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '16754'}\n",
      "Label: 97608, Prediction: 97808, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '97808', 'Ground Truth': '97608'}\n",
      "Label: 37559, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '37559'}\n",
      "Label: 46172, Prediction: 46172, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '46172', 'Ground Truth': '46172'}\n",
      "Label: 75319, Prediction: 75319, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75319', 'Ground Truth': '75319'}\n",
      "Label: 66332, Prediction: 66332, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66332', 'Ground Truth': '66332'}\n",
      "Label: 75804, Prediction: 75804, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75804', 'Ground Truth': '75804'}\n",
      "Label: 42639, Prediction: 42339, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '42339', 'Ground Truth': '42639'}\n",
      "Label: 78693, Prediction: 78693, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78693', 'Ground Truth': '78693'}\n",
      "Label: 75126, Prediction: 75126, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75126', 'Ground Truth': '75126'}\n",
      "Label: 71707, Prediction: 71707, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71707', 'Ground Truth': '71707'}\n",
      "Label: 91977, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '91977'}\n",
      "Label: 66879, Prediction: 66279, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '66279', 'Ground Truth': '66879'}\n",
      "Label: 61402, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '61402'}\n",
      "Label: 97357, Prediction: 97357, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '97357', 'Ground Truth': '97357'}\n",
      "Label: 60897, Prediction: 6089, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '6089', 'Ground Truth': '60897'}\n",
      "Label: 73956, Prediction: 739, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '739', 'Ground Truth': '73956'}\n",
      "Label: 36340, Prediction: 36390, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '36390', 'Ground Truth': '36340'}\n",
      "Label: 15845, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '15845'}\n",
      "Label: 36751, Prediction: 36751, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36751', 'Ground Truth': '36751'}\n",
      "Label: 31289, Prediction: 31289, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '31289', 'Ground Truth': '31289'}\n",
      "Label: 20157, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20157'}\n",
      "Label: 74948, Prediction: 79948, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '79948', 'Ground Truth': '74948'}\n",
      "Label: 81991, Prediction: 81991, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81991', 'Ground Truth': '81991'}\n",
      "Label: 12597, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '12597'}\n",
      "Label: 47734, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47734'}\n",
      "Label: 06163, Prediction: 06163, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06163', 'Ground Truth': '06163'}\n",
      "Label: 01428, Prediction: 01428, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01428', 'Ground Truth': '01428'}\n",
      "Label: 29663, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '29663'}\n",
      "Label: 60114, Prediction: 60114, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60114', 'Ground Truth': '60114'}\n",
      "Label: 40969, Prediction: 40989, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '40989', 'Ground Truth': '40969'}\n",
      "Label: 29838, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '29838'}\n",
      "Label: 18256, Prediction: 18256, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18256', 'Ground Truth': '18256'}\n",
      "Label: 35660, Prediction: 35640, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '35640', 'Ground Truth': '35660'}\n",
      "Label: 73510, Prediction: 73310, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '73310', 'Ground Truth': '73510'}\n",
      "Label: 63342, Prediction: 63342, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63342', 'Ground Truth': '63342'}\n",
      "Label: 84657, Prediction: 9460, Result: {'Correct': False, 'Similarity': 0.40000000012000003, 'Prediction': '9460', 'Ground Truth': '84657'}\n",
      "Label: 98055, Prediction: 9805, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9805', 'Ground Truth': '98055'}\n",
      "Label: 75183, Prediction: 75183, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75183', 'Ground Truth': '75183'}\n",
      "Label: 91672, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '91672'}\n",
      "Label: 40476, Prediction: 40478, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '40478', 'Ground Truth': '40476'}\n",
      "Label: 14409, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14409'}\n",
      "Label: 44933, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44933'}\n",
      "Label: 80734, Prediction: 80734, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80734', 'Ground Truth': '80734'}\n",
      "Label: 02370, Prediction: 02370, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '02370', 'Ground Truth': '02370'}\n",
      "Label: 02319, Prediction: 02319, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '02319', 'Ground Truth': '02319'}\n",
      "Label: 86005, Prediction: 86005, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '86005', 'Ground Truth': '86005'}\n",
      "Label: 71472, Prediction: 71472, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71472', 'Ground Truth': '71472'}\n",
      "Label: 18250, Prediction: 18260, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '18260', 'Ground Truth': '18250'}\n",
      "Label: 82935, Prediction: 8293, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '8293', 'Ground Truth': '82935'}\n",
      "Label: 63570, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '63570'}\n",
      "Label: 17322, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17322'}\n",
      "Label: 49010, Prediction: 49010, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '49010', 'Ground Truth': '49010'}\n",
      "Label: 23806, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23806'}\n",
      "Label: 11385, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '11385'}\n",
      "Label: 49868, Prediction: 498, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '498', 'Ground Truth': '49868'}\n",
      "Label: 62518, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '62518'}\n",
      "Label: 37829, Prediction: 37889, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '37889', 'Ground Truth': '37829'}\n",
      "Label: 74378, Prediction: 74378, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74378', 'Ground Truth': '74378'}\n",
      "Label: 70190, Prediction: 70190, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70190', 'Ground Truth': '70190'}\n",
      "Label: 28222, Prediction: 28222, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28222', 'Ground Truth': '28222'}\n",
      "Label: 35306, Prediction: 35306, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35306', 'Ground Truth': '35306'}\n",
      "Label: 79625, Prediction: 79625, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79625', 'Ground Truth': '79625'}\n",
      "Label: 46897, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '46897'}\n",
      "Label: 82232, Prediction: 82232, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '82232', 'Ground Truth': '82232'}\n",
      "Label: 58812, Prediction: 58312, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58312', 'Ground Truth': '58812'}\n",
      "Label: 21385, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21385'}\n",
      "Label: 88908, Prediction: 88908, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '88908', 'Ground Truth': '88908'}\n",
      "Label: 88042, Prediction: 89042, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '89042', 'Ground Truth': '88042'}\n",
      "Label: 72169, Prediction: 72169, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '72169', 'Ground Truth': '72169'}\n",
      "Label: 19401, Prediction: 19401, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '19401', 'Ground Truth': '19401'}\n",
      "Label: 12604, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '12604'}\n",
      "Label: 08290, Prediction: 08290, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '08290', 'Ground Truth': '08290'}\n",
      "Label: 07374, Prediction: 07374, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07374', 'Ground Truth': '07374'}\n",
      "Label: 07686, Prediction: 07686, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07686', 'Ground Truth': '07686'}\n",
      "Label: 89378, Prediction: 89388, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '89388', 'Ground Truth': '89378'}\n",
      "Label: 68681, Prediction: 68681, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68681', 'Ground Truth': '68681'}\n",
      "Label: 81499, Prediction: 81490, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '81490', 'Ground Truth': '81499'}\n",
      "Label: 50478, Prediction: 50478, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50478', 'Ground Truth': '50478'}\n",
      "Label: 40792, Prediction: 40792, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40792', 'Ground Truth': '40792'}\n",
      "Label: 45718, Prediction: 45718, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '45718', 'Ground Truth': '45718'}\n",
      "Label: 31422, Prediction: 3142, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3142', 'Ground Truth': '31422'}\n",
      "Label: 31706, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '31706'}\n",
      "Label: 36846, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '36846'}\n",
      "Label: 51424, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '51424'}\n",
      "Label: 68126, Prediction: 68126, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68126', 'Ground Truth': '68126'}\n",
      "Label: 24489, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24489'}\n",
      "Label: 32710, Prediction: 3210, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3210', 'Ground Truth': '32710'}\n",
      "Label: 08395, Prediction: 00395, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '00395', 'Ground Truth': '08395'}\n",
      "Label: 24167, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24167'}\n",
      "Label: 62727, Prediction: 6272, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '6272', 'Ground Truth': '62727'}\n",
      "Label: 25649, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '25649'}\n",
      "Label: 34511, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34511'}\n",
      "Label: 84663, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '84663'}\n",
      "Label: 67350, Prediction: 67350, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67350', 'Ground Truth': '67350'}\n",
      "Label: 16684, Prediction: 16684, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16684', 'Ground Truth': '16684'}\n",
      "Label: 04927, Prediction: 04927, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '04927', 'Ground Truth': '04927'}\n",
      "Label: 71048, Prediction: 71048, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71048', 'Ground Truth': '71048'}\n",
      "Label: 89496, Prediction: 89496, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '89496', 'Ground Truth': '89496'}\n",
      "Label: 28653, Prediction: 28653, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28653', 'Ground Truth': '28653'}\n",
      "Label: 53673, Prediction: 53673, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '53673', 'Ground Truth': '53673'}\n",
      "Label: 96071, Prediction: 9607, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9607', 'Ground Truth': '96071'}\n",
      "Label: 18706, Prediction: 18796, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '18796', 'Ground Truth': '18706'}\n",
      "Label: 53934, Prediction: 53934, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '53934', 'Ground Truth': '53934'}\n",
      "Label: 77455, Prediction: 77456, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '77456', 'Ground Truth': '77455'}\n",
      "Label: 15538, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '15538'}\n",
      "Label: 18086, Prediction: 18006, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '18006', 'Ground Truth': '18086'}\n",
      "Label: 87063, Prediction: 81063, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '81063', 'Ground Truth': '87063'}\n",
      "Label: 38433, Prediction: 3843, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3843', 'Ground Truth': '38433'}\n",
      "Label: 29858, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '29858'}\n",
      "Label: 78943, Prediction: 78943, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78943', 'Ground Truth': '78943'}\n",
      "Label: 21525, Prediction: 215, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '215', 'Ground Truth': '21525'}\n",
      "Label: 36005, Prediction: 36005, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36005', 'Ground Truth': '36005'}\n",
      "Label: 06608, Prediction: 06808, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '06808', 'Ground Truth': '06608'}\n",
      "Label: 81347, Prediction: 81344, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '81344', 'Ground Truth': '81347'}\n",
      "Label: 27442, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '27442'}\n",
      "Label: 13891, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13891'}\n",
      "Label: 43762, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43762'}\n",
      "Label: 85527, Prediction: 8552, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '8552', 'Ground Truth': '85527'}\n",
      "Label: 04021, Prediction: 04021, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '04021', 'Ground Truth': '04021'}\n",
      "Label: 71541, Prediction: 71541, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71541', 'Ground Truth': '71541'}\n",
      "Label: 98611, Prediction: 9881, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '9881', 'Ground Truth': '98611'}\n",
      "Label: 46902, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '46902'}\n",
      "Label: 13741, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13741'}\n",
      "Label: 43136, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43136'}\n",
      "Label: 54875, Prediction: 54825, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '54825', 'Ground Truth': '54875'}\n",
      "Label: 44679, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44679'}\n",
      "Label: 01364, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '01364'}\n",
      "Label: 89660, Prediction: 89460, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '89460', 'Ground Truth': '89660'}\n",
      "Label: 21327, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21327'}\n",
      "Label: 24268, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24268'}\n",
      "Label: 58915, Prediction: 58415, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '58415', 'Ground Truth': '58915'}\n",
      "Label: 77278, Prediction: 77278, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77278', 'Ground Truth': '77278'}\n",
      "Label: 34564, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34564'}\n",
      "Label: 09504, Prediction: 09504, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09504', 'Ground Truth': '09504'}\n",
      "Label: 53312, Prediction: 53312, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '53312', 'Ground Truth': '53312'}\n",
      "Label: 20181, Prediction: 30181, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '30181', 'Ground Truth': '20181'}\n",
      "Label: 01590, Prediction: 01590, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01590', 'Ground Truth': '01590'}\n",
      "Label: 28125, Prediction: 28125, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28125', 'Ground Truth': '28125'}\n",
      "Label: 17061, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17061'}\n",
      "Label: 99399, Prediction: 99399, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99399', 'Ground Truth': '99399'}\n",
      "Label: 99112, Prediction: 99112, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99112', 'Ground Truth': '99112'}\n",
      "Label: 10377, Prediction: 10377, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10377', 'Ground Truth': '10377'}\n",
      "Label: 61183, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '61183'}\n",
      "Label: 33822, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '33822'}\n",
      "Label: 03264, Prediction: 03264, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '03264', 'Ground Truth': '03264'}\n",
      "Label: 95908, Prediction: 95908, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95908', 'Ground Truth': '95908'}\n",
      "Label: 59353, Prediction: 59353, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59353', 'Ground Truth': '59353'}\n",
      "Label: 21858, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21858'}\n",
      "Label: 83673, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '83673'}\n",
      "Label: 89172, Prediction: 89172, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '89172', 'Ground Truth': '89172'}\n",
      "Label: 99273, Prediction: 99273, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99273', 'Ground Truth': '99273'}\n",
      "Label: 66783, Prediction: 66383, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '66383', 'Ground Truth': '66783'}\n",
      "Label: 55210, Prediction: 55210, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '55210', 'Ground Truth': '55210'}\n",
      "Label: 13108, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13108'}\n",
      "Label: 91818, Prediction: 91810, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '91810', 'Ground Truth': '91818'}\n",
      "Label: 65450, Prediction: 65450, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '65450', 'Ground Truth': '65450'}\n",
      "Label: 76402, Prediction: 76402, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '76402', 'Ground Truth': '76402'}\n",
      "Label: 25452, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '25452'}\n",
      "Label: 51704, Prediction: 51704, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '51704', 'Ground Truth': '51704'}\n",
      "Label: 81559, Prediction: 81559, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81559', 'Ground Truth': '81559'}\n",
      "Label: 06587, Prediction: 06587, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06587', 'Ground Truth': '06587'}\n",
      "Label: 61571, Prediction: 61571, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61571', 'Ground Truth': '61571'}\n",
      "Label: 53673, Prediction: 53673, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '53673', 'Ground Truth': '53673'}\n",
      "Label: 18178, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18178'}\n",
      "Label: 37561, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '37561'}\n",
      "Label: 20336, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20336'}\n",
      "Label: 73289, Prediction: 73299, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '73299', 'Ground Truth': '73289'}\n",
      "Label: 72361, Prediction: 73361, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '73361', 'Ground Truth': '72361'}\n",
      "Label: 51054, Prediction: 54054, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '54054', 'Ground Truth': '51054'}\n",
      "Label: 46695, Prediction: 46295, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '46295', 'Ground Truth': '46695'}\n",
      "Label: 14105, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14105'}\n",
      "Label: 35714, Prediction: 35714, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35714', 'Ground Truth': '35714'}\n",
      "Label: 93676, Prediction: 93686, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '93686', 'Ground Truth': '93676'}\n",
      "Label: 41599, Prediction: 41599, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '41599', 'Ground Truth': '41599'}\n",
      "Label: 37772, Prediction: 3777, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3777', 'Ground Truth': '37772'}\n",
      "Label: 78840, Prediction: 78840, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78840', 'Ground Truth': '78840'}\n",
      "Label: 64102, Prediction: 64102, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64102', 'Ground Truth': '64102'}\n",
      "Label: 69348, Prediction: 60348, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '60348', 'Ground Truth': '69348'}\n",
      "Label: 85092, Prediction: 85092, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85092', 'Ground Truth': '85092'}\n",
      "Label: 98775, Prediction: 98775, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '98775', 'Ground Truth': '98775'}\n",
      "Label: 69221, Prediction: 69221, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69221', 'Ground Truth': '69221'}\n",
      "Label: 17440, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17440'}\n",
      "Label: 17157, Prediction: 07137, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '07137', 'Ground Truth': '17157'}\n",
      "Label: 83306, Prediction: 83306, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '83306', 'Ground Truth': '83306'}\n",
      "Label: 03292, Prediction: 03292, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '03292', 'Ground Truth': '03292'}\n",
      "Label: 63446, Prediction: 63446, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63446', 'Ground Truth': '63446'}\n",
      "Label: 08968, Prediction: 08968, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '08968', 'Ground Truth': '08968'}\n",
      "Label: 85977, Prediction: 8597, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '8597', 'Ground Truth': '85977'}\n",
      "Label: 67435, Prediction: 67435, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67435', 'Ground Truth': '67435'}\n",
      "Label: 75503, Prediction: 75300, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '75300', 'Ground Truth': '75503'}\n",
      "Label: 17287, Prediction: 1728, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1728', 'Ground Truth': '17287'}\n",
      "Label: 28049, Prediction: 28049, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28049', 'Ground Truth': '28049'}\n",
      "Label: 12210, Prediction: 12210, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12210', 'Ground Truth': '12210'}\n",
      "Label: 52903, Prediction: 52903, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52903', 'Ground Truth': '52903'}\n",
      "Label: 02122, Prediction: 02172, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '02172', 'Ground Truth': '02122'}\n",
      "Label: 13369, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13369'}\n",
      "Label: 89212, Prediction: 89212, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '89212', 'Ground Truth': '89212'}\n",
      "Label: 19673, Prediction: 19643, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '19643', 'Ground Truth': '19673'}\n",
      "Label: 79427, Prediction: 79427, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79427', 'Ground Truth': '79427'}\n",
      "Label: 09965, Prediction: 099, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '099', 'Ground Truth': '09965'}\n",
      "Label: 87687, Prediction: 87687, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87687', 'Ground Truth': '87687'}\n",
      "Label: 88805, Prediction: 88905, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '88905', 'Ground Truth': '88805'}\n",
      "Label: 19172, Prediction: 19172, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '19172', 'Ground Truth': '19172'}\n",
      "Label: 50431, Prediction: 50431, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50431', 'Ground Truth': '50431'}\n",
      "Label: 73505, Prediction: 7300, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '7300', 'Ground Truth': '73505'}\n",
      "Label: 18281, Prediction: 18281, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18281', 'Ground Truth': '18281'}\n",
      "Label: 26705, Prediction: 26705, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '26705', 'Ground Truth': '26705'}\n",
      "Label: 68040, Prediction: 68040, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '68040', 'Ground Truth': '68040'}\n",
      "Label: 66297, Prediction: 66297, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66297', 'Ground Truth': '66297'}\n",
      "Label: 96582, Prediction: 9688, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '9688', 'Ground Truth': '96582'}\n",
      "Label: 94341, Prediction: 94341, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '94341', 'Ground Truth': '94341'}\n",
      "Label: 58031, Prediction: 58031, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '58031', 'Ground Truth': '58031'}\n",
      "Label: 14602, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '14602'}\n",
      "Label: 91741, Prediction: 91741, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91741', 'Ground Truth': '91741'}\n",
      "Label: 85443, Prediction: 85449, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '85449', 'Ground Truth': '85443'}\n",
      "Label: 23014, Prediction: 23024, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '23024', 'Ground Truth': '23014'}\n",
      "Label: 46465, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '46465'}\n",
      "Label: 42102, Prediction: 42102, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42102', 'Ground Truth': '42102'}\n",
      "Label: 13441, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13441'}\n",
      "Label: 81811, Prediction: 81211, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '81211', 'Ground Truth': '81811'}\n",
      "Label: 16044, Prediction: 16044, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16044', 'Ground Truth': '16044'}\n",
      "Label: 22168, Prediction: 92188, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '92188', 'Ground Truth': '22168'}\n",
      "Label: 17330, Prediction: 17330, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '17330', 'Ground Truth': '17330'}\n",
      "Label: 44741, Prediction: 4474, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '4474', 'Ground Truth': '44741'}\n",
      "Label: 82381, Prediction: 82381, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '82381', 'Ground Truth': '82381'}\n",
      "Label: 87063, Prediction: 87063, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87063', 'Ground Truth': '87063'}\n",
      "Label: 59021, Prediction: 59021, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59021', 'Ground Truth': '59021'}\n",
      "Label: 76770, Prediction: 76770, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '76770', 'Ground Truth': '76770'}\n",
      "Label: 52632, Prediction: 52132, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '52132', 'Ground Truth': '52632'}\n",
      "Label: 61110, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '61110'}\n",
      "Label: 44762, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44762'}\n",
      "Label: 48903, Prediction: 48902, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '48902', 'Ground Truth': '48903'}\n",
      "Label: 70238, Prediction: 70238, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70238', 'Ground Truth': '70238'}\n",
      "Label: 59268, Prediction: 59268, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59268', 'Ground Truth': '59268'}\n",
      "Label: 17999, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17999'}\n",
      "Label: 34505, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34505'}\n",
      "Label: 53600, Prediction: 53400, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '53400', 'Ground Truth': '53600'}\n",
      "Label: 82774, Prediction: 82274, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '82274', 'Ground Truth': '82774'}\n",
      "Label: 34147, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34147'}\n",
      "Label: 31956, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '31956'}\n",
      "Label: 15472, Prediction: 15472, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '15472', 'Ground Truth': '15472'}\n",
      "Label: 69049, Prediction: 69049, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '69049', 'Ground Truth': '69049'}\n",
      "Label: 09337, Prediction: 09337, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09337', 'Ground Truth': '09337'}\n",
      "Label: 00545, Prediction: 00345, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '00345', 'Ground Truth': '00545'}\n",
      "Label: 11893, Prediction: 11893, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11893', 'Ground Truth': '11893'}\n",
      "Label: 98681, Prediction: 98281, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '98281', 'Ground Truth': '98681'}\n",
      "Label: 34944, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34944'}\n",
      "Label: 79401, Prediction: 79401, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79401', 'Ground Truth': '79401'}\n",
      "Label: 16471, Prediction: 16471, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16471', 'Ground Truth': '16471'}\n",
      "Label: 70138, Prediction: 70138, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70138', 'Ground Truth': '70138'}\n",
      "Label: 95450, Prediction: 95450, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '95450', 'Ground Truth': '95450'}\n",
      "Label: 28805, Prediction: 28805, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28805', 'Ground Truth': '28805'}\n",
      "Label: 52402, Prediction: 52402, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52402', 'Ground Truth': '52402'}\n",
      "Label: 23998, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23998'}\n",
      "Label: 38978, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '38978'}\n",
      "Label: 36167, Prediction: 36167, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36167', 'Ground Truth': '36167'}\n",
      "Label: 98965, Prediction: 9896, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9896', 'Ground Truth': '98965'}\n",
      "Label: 13767, Prediction: 13767, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '13767', 'Ground Truth': '13767'}\n",
      "Label: 28513, Prediction: 28113, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '28113', 'Ground Truth': '28513'}\n",
      "Label: 98999, Prediction: 9899, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9899', 'Ground Truth': '98999'}\n",
      "Label: 41532, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41532'}\n",
      "Label: 79386, Prediction: 79386, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79386', 'Ground Truth': '79386'}\n",
      "Label: 60827, Prediction: 60827, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60827', 'Ground Truth': '60827'}\n",
      "Label: 99402, Prediction: 99402, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99402', 'Ground Truth': '99402'}\n",
      "Label: 22508, Prediction: 22808, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '22808', 'Ground Truth': '22508'}\n",
      "Label: 18031, Prediction: 18001, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '18001', 'Ground Truth': '18031'}\n",
      "Label: 41754, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41754'}\n",
      "Label: 56429, Prediction: 56429, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56429', 'Ground Truth': '56429'}\n",
      "Label: 31525, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '31525'}\n",
      "Label: 71646, Prediction: 71646, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '71646', 'Ground Truth': '71646'}\n",
      "Label: 54776, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '54776'}\n",
      "Label: 86435, Prediction: 86935, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '86935', 'Ground Truth': '86435'}\n",
      "Label: 27934, Prediction: 27934, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '27934', 'Ground Truth': '27934'}\n",
      "Label: 88163, Prediction: 88163, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '88163', 'Ground Truth': '88163'}\n",
      "Label: 75391, Prediction: 75391, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75391', 'Ground Truth': '75391'}\n",
      "Label: 88346, Prediction: 88346, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '88346', 'Ground Truth': '88346'}\n",
      "Label: 92221, Prediction: 52221, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '52221', 'Ground Truth': '92221'}\n",
      "Label: 41531, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41531'}\n",
      "Label: 38049, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '38049'}\n",
      "Label: 73575, Prediction: 735, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '735', 'Ground Truth': '73575'}\n",
      "Label: 25848, Prediction: 25948, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '25948', 'Ground Truth': '25848'}\n",
      "Label: 05670, Prediction: 05470, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '05470', 'Ground Truth': '05670'}\n",
      "Label: 07002, Prediction: 07202, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '07202', 'Ground Truth': '07002'}\n",
      "Label: 04438, Prediction: 04438, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '04438', 'Ground Truth': '04438'}\n",
      "Label: 22774, Prediction: 22774, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '22774', 'Ground Truth': '22774'}\n",
      "Label: 55418, Prediction: 55418, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '55418', 'Ground Truth': '55418'}\n",
      "Label: 40626, Prediction: 40626, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40626', 'Ground Truth': '40626'}\n",
      "Label: 86130, Prediction: 86130, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '86130', 'Ground Truth': '86130'}\n",
      "Label: 75759, Prediction: 75759, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75759', 'Ground Truth': '75759'}\n",
      "Label: 81005, Prediction: 81005, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81005', 'Ground Truth': '81005'}\n",
      "Label: 26442, Prediction: 26442, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '26442', 'Ground Truth': '26442'}\n",
      "Label: 94529, Prediction: 94329, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '94329', 'Ground Truth': '94529'}\n",
      "Label: 29183, Prediction: 2918, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '2918', 'Ground Truth': '29183'}\n",
      "Label: 63515, Prediction: 635, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '635', 'Ground Truth': '63515'}\n",
      "Label: 51480, Prediction: 51480, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '51480', 'Ground Truth': '51480'}\n",
      "Label: 17677, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17677'}\n",
      "Label: 60159, Prediction: 60159, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60159', 'Ground Truth': '60159'}\n",
      "Label: 33001, Prediction: 33001, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '33001', 'Ground Truth': '33001'}\n",
      "Label: 41241, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41241'}\n",
      "Label: 30238, Prediction: 30238, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '30238', 'Ground Truth': '30238'}\n",
      "Label: 85686, Prediction: 85686, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85686', 'Ground Truth': '85686'}\n",
      "Label: 48261, Prediction: 4826, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '4826', 'Ground Truth': '48261'}\n",
      "Label: 28208, Prediction: 28208, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28208', 'Ground Truth': '28208'}\n",
      "Label: 16527, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '16527'}\n",
      "Label: 49672, Prediction: 49672, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '49672', 'Ground Truth': '49672'}\n",
      "Label: 35131, Prediction: 35131, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35131', 'Ground Truth': '35131'}\n",
      "Label: 04484, Prediction: 044, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '044', 'Ground Truth': '04484'}\n",
      "Label: 55677, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '55677'}\n",
      "Label: 58194, Prediction: 58194, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '58194', 'Ground Truth': '58194'}\n",
      "Label: 34185, Prediction: 34185, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '34185', 'Ground Truth': '34185'}\n",
      "Label: 07602, Prediction: 07202, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '07202', 'Ground Truth': '07602'}\n",
      "Label: 50317, Prediction: 50317, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50317', 'Ground Truth': '50317'}\n",
      "Label: 64776, Prediction: 64776, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64776', 'Ground Truth': '64776'}\n",
      "Label: 77976, Prediction: 77976, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77976', 'Ground Truth': '77976'}\n",
      "Label: 91873, Prediction: 91873, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91873', 'Ground Truth': '91873'}\n",
      "Label: 53926, Prediction: 53924, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '53924', 'Ground Truth': '53926'}\n",
      "Label: 79356, Prediction: 99356, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '99356', 'Ground Truth': '79356'}\n",
      "Label: 91339, Prediction: 91339, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91339', 'Ground Truth': '91339'}\n",
      "Label: 12224, Prediction: 12224, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12224', 'Ground Truth': '12224'}\n",
      "Label: 54669, Prediction: 54669, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '54669', 'Ground Truth': '54669'}\n",
      "Label: 77009, Prediction: 7700, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '7700', 'Ground Truth': '77009'}\n",
      "Label: 05618, Prediction: 0568, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '0568', 'Ground Truth': '05618'}\n",
      "Label: 82430, Prediction: 82 430, Result: {'Correct': False, 'Similarity': 1.0, 'Prediction': '82 430', 'Ground Truth': '82430'}\n",
      "Label: 65990, Prediction: 65970, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '65970', 'Ground Truth': '65990'}\n",
      "Label: 59101, Prediction: 59101, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59101', 'Ground Truth': '59101'}\n",
      "Label: 70941, Prediction: 7094, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '7094', 'Ground Truth': '70941'}\n",
      "Label: 13628, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '13628'}\n",
      "Label: 06157, Prediction: 06157, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06157', 'Ground Truth': '06157'}\n",
      "Label: 00196, Prediction: 00196, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '00196', 'Ground Truth': '00196'}\n",
      "Label: 98993, Prediction: 9899, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9899', 'Ground Truth': '98993'}\n",
      "Label: 36575, Prediction: 36575, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36575', 'Ground Truth': '36575'}\n",
      "Label: 04292, Prediction: 04292, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '04292', 'Ground Truth': '04292'}\n",
      "Label: 02823, Prediction: 02823, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '02823', 'Ground Truth': '02823'}\n",
      "Label: 87267, Prediction: 87267, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87267', 'Ground Truth': '87267'}\n",
      "Label: 10511, Prediction: 1011, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1011', 'Ground Truth': '10511'}\n",
      "Label: 54720, Prediction: 54720, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '54720', 'Ground Truth': '54720'}\n",
      "Label: 29638, Prediction: 29139, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '29139', 'Ground Truth': '29638'}\n",
      "Label: 77066, Prediction: 77068, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '77068', 'Ground Truth': '77066'}\n",
      "Label: 85026, Prediction: 85026, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85026', 'Ground Truth': '85026'}\n",
      "Label: 94312, Prediction: 943, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '943', 'Ground Truth': '94312'}\n",
      "Label: 34716, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34716'}\n",
      "Label: 56108, Prediction: 56108, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56108', 'Ground Truth': '56108'}\n",
      "Label: 73404, Prediction: 73404, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '73404', 'Ground Truth': '73404'}\n",
      "Label: 23429, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23429'}\n",
      "Label: 11228, Prediction: 11228, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '11228', 'Ground Truth': '11228'}\n",
      "Label: 77905, Prediction: 77905, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77905', 'Ground Truth': '77905'}\n",
      "Label: 41360, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41360'}\n",
      "Label: 84596, Prediction: 84506, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '84506', 'Ground Truth': '84596'}\n",
      "Label: 17838, Prediction: 77838, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '77838', 'Ground Truth': '17838'}\n",
      "Label: 12491, Prediction: 12491, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12491', 'Ground Truth': '12491'}\n",
      "Label: 49176, Prediction: 49176, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '49176', 'Ground Truth': '49176'}\n",
      "Label: 06373, Prediction: 06373, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06373', 'Ground Truth': '06373'}\n",
      "Label: 41243, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41243'}\n",
      "Label: 78913, Prediction: 78913, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78913', 'Ground Truth': '78913'}\n",
      "Label: 47041, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47041'}\n",
      "Label: 92961, Prediction: 92961, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '92961', 'Ground Truth': '92961'}\n",
      "Label: 39816, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '39816'}\n",
      "Label: 25137, Prediction: 25137, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '25137', 'Ground Truth': '25137'}\n",
      "Label: 48761, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '48761'}\n",
      "Label: 33711, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '33711'}\n",
      "Label: 57733, Prediction: 57733, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57733', 'Ground Truth': '57733'}\n",
      "Label: 44457, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44457'}\n",
      "Label: 96472, Prediction: 94472, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '94472', 'Ground Truth': '96472'}\n",
      "Label: 22492, Prediction: 32492, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '32492', 'Ground Truth': '22492'}\n",
      "Label: 65599, Prediction: 65390, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '65390', 'Ground Truth': '65599'}\n",
      "Label: 90407, Prediction: 90407, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '90407', 'Ground Truth': '90407'}\n",
      "Label: 07091, Prediction: 07091, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07091', 'Ground Truth': '07091'}\n",
      "Label: 38689, Prediction: 3868, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3868', 'Ground Truth': '38689'}\n",
      "Label: 31435, Prediction: 3143, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3143', 'Ground Truth': '31435'}\n",
      "Label: 83879, Prediction: 83879, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '83879', 'Ground Truth': '83879'}\n",
      "Label: 35610, Prediction: 35610, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35610', 'Ground Truth': '35610'}\n",
      "Label: 76308, Prediction: 96308, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '96308', 'Ground Truth': '76308'}\n",
      "Label: 01829, Prediction: 01829, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01829', 'Ground Truth': '01829'}\n",
      "Label: 01303, Prediction: 01303, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01303', 'Ground Truth': '01303'}\n",
      "Label: 78328, Prediction: 78328, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '78328', 'Ground Truth': '78328'}\n",
      "Label: 59235, Prediction: 59235, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '59235', 'Ground Truth': '59235'}\n",
      "Label: 41981, Prediction: 01981, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '01981', 'Ground Truth': '41981'}\n",
      "Label: 56274, Prediction: 56274, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '56274', 'Ground Truth': '56274'}\n",
      "Label: 31497, Prediction: 31477, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '31477', 'Ground Truth': '31497'}\n",
      "Label: 54178, Prediction: 54198, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '54198', 'Ground Truth': '54178'}\n",
      "Label: 68296, Prediction: 68196, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '68196', 'Ground Truth': '68296'}\n",
      "Label: 91003, Prediction: 91003, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91003', 'Ground Truth': '91003'}\n",
      "Label: 17744, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17744'}\n",
      "Label: 55103, Prediction: 55103, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '55103', 'Ground Truth': '55103'}\n",
      "Label: 45890, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '45890'}\n",
      "Label: 87888, Prediction: 87888, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '87888', 'Ground Truth': '87888'}\n",
      "Label: 69041, Prediction: 09041, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '09041', 'Ground Truth': '69041'}\n",
      "Label: 39400, Prediction: 39400, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39400', 'Ground Truth': '39400'}\n",
      "Label: 53998, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '53998'}\n",
      "Label: 54623, Prediction: 54623, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '54623', 'Ground Truth': '54623'}\n",
      "Label: 67935, Prediction: 67935, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67935', 'Ground Truth': '67935'}\n",
      "Label: 08416, Prediction: 08 416, Result: {'Correct': False, 'Similarity': 1.0, 'Prediction': '08 416', 'Ground Truth': '08416'}\n",
      "Label: 86689, Prediction: 8668, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '8668', 'Ground Truth': '86689'}\n",
      "Label: 24616, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24616'}\n",
      "Label: 70032, Prediction: 70032, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70032', 'Ground Truth': '70032'}\n",
      "Label: 13711, Prediction: 1371, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '1371', 'Ground Truth': '13711'}\n",
      "Label: 17218, Prediction: 17118, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '17118', 'Ground Truth': '17218'}\n",
      "Label: 83760, Prediction: 83260, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '83260', 'Ground Truth': '83760'}\n",
      "Label: 20705, Prediction: 20705, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '20705', 'Ground Truth': '20705'}\n",
      "Label: 99865, Prediction: 998, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '998', 'Ground Truth': '99865'}\n",
      "Label: 64359, Prediction: 64359, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64359', 'Ground Truth': '64359'}\n",
      "Label: 70773, Prediction: 70773, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70773', 'Ground Truth': '70773'}\n",
      "Label: 84253, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '84253'}\n",
      "Label: 32097, Prediction: 52097, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '52097', 'Ground Truth': '32097'}\n",
      "Label: 84608, Prediction: 84008, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '84008', 'Ground Truth': '84608'}\n",
      "Label: 75939, Prediction: 75939, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75939', 'Ground Truth': '75939'}\n",
      "Label: 43911, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43911'}\n",
      "Label: 85214, Prediction: 85214, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '85214', 'Ground Truth': '85214'}\n",
      "Label: 10372, Prediction: 10272, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '10272', 'Ground Truth': '10372'}\n",
      "Label: 33970, Prediction: 33970, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '33970', 'Ground Truth': '33970'}\n",
      "Label: 65418, Prediction: 65418, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '65418', 'Ground Truth': '65418'}\n",
      "Label: 40216, Prediction: 40216, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '40216', 'Ground Truth': '40216'}\n",
      "Label: 41429, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '41429'}\n",
      "Label: 98412, Prediction: 9842, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9842', 'Ground Truth': '98412'}\n",
      "Label: 13972, Prediction: 13972, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '13972', 'Ground Truth': '13972'}\n",
      "Label: 58949, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '58949'}\n",
      "Label: 63897, Prediction: 63897, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '63897', 'Ground Truth': '63897'}\n",
      "Label: 86517, Prediction: 86317, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '86317', 'Ground Truth': '86517'}\n",
      "Label: 19461, Prediction: 19491, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '19491', 'Ground Truth': '19461'}\n",
      "Label: 93069, Prediction: 93069, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '93069', 'Ground Truth': '93069'}\n",
      "Label: 88321, Prediction: 98321, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '98321', 'Ground Truth': '88321'}\n",
      "Label: 35959, Prediction: 35954, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '35954', 'Ground Truth': '35959'}\n",
      "Label: 10672, Prediction: 10672, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10672', 'Ground Truth': '10672'}\n",
      "Label: 48254, Prediction: 48254, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '48254', 'Ground Truth': '48254'}\n",
      "Label: 56619, Prediction: 56617, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '56617', 'Ground Truth': '56619'}\n",
      "Label: 80940, Prediction: 80440, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '80440', 'Ground Truth': '80940'}\n",
      "Label: 34531, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34531'}\n",
      "Label: 49462, Prediction: 4946, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '4946', 'Ground Truth': '49462'}\n",
      "Label: 25172, Prediction: 35172, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '35172', 'Ground Truth': '25172'}\n",
      "Label: 93310, Prediction: 93310, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '93310', 'Ground Truth': '93310'}\n",
      "Label: 01041, Prediction: 01041, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01041', 'Ground Truth': '01041'}\n",
      "Label: 64747, Prediction: 64747, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '64747', 'Ground Truth': '64747'}\n",
      "Label: 29247, Prediction: 29247, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '29247', 'Ground Truth': '29247'}\n",
      "Label: 16108, Prediction: 16108, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '16108', 'Ground Truth': '16108'}\n",
      "Label: 35331, Prediction: 3533, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '3533', 'Ground Truth': '35331'}\n",
      "Label: 19963, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '19963'}\n",
      "Label: 08302, Prediction: 08302, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '08302', 'Ground Truth': '08302'}\n",
      "Label: 97061, Prediction: 97061, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '97061', 'Ground Truth': '97061'}\n",
      "Label: 57388, Prediction: 57388, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57388', 'Ground Truth': '57388'}\n",
      "Label: 39239, Prediction: 39239, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39239', 'Ground Truth': '39239'}\n",
      "Label: 10017, Prediction: 10017, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10017', 'Ground Truth': '10017'}\n",
      "Label: 45010, Prediction: 45020, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '45020', 'Ground Truth': '45010'}\n",
      "Label: 36371, Prediction: 36371, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '36371', 'Ground Truth': '36371'}\n",
      "Label: 47211, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47211'}\n",
      "Label: 37667, Prediction: 37667, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '37667', 'Ground Truth': '37667'}\n",
      "Label: 77167, Prediction: 77167, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '77167', 'Ground Truth': '77167'}\n",
      "Label: 81813, Prediction: 81813, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81813', 'Ground Truth': '81813'}\n",
      "Label: 66746, Prediction: 66746, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '66746', 'Ground Truth': '66746'}\n",
      "Label: 61143, Prediction: 6114, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '6114', 'Ground Truth': '61143'}\n",
      "Label: 23550, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23550'}\n",
      "Label: 79939, Prediction: 99939, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '99939', 'Ground Truth': '79939'}\n",
      "Label: 70334, Prediction: 70334, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '70334', 'Ground Truth': '70334'}\n",
      "Label: 75382, Prediction: 75388, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '75388', 'Ground Truth': '75382'}\n",
      "Label: 96081, Prediction: 96081, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '96081', 'Ground Truth': '96081'}\n",
      "Label: 07719, Prediction: 07719, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07719', 'Ground Truth': '07719'}\n",
      "Label: 60353, Prediction: 60353, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60353', 'Ground Truth': '60353'}\n",
      "Label: 82263, Prediction: 82263, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '82263', 'Ground Truth': '82263'}\n",
      "Label: 28572, Prediction: 28572, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '28572', 'Ground Truth': '28572'}\n",
      "Label: 20142, Prediction: 00142, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '00142', 'Ground Truth': '20142'}\n",
      "Label: 60187, Prediction: 60187, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60187', 'Ground Truth': '60187'}\n",
      "Label: 93990, Prediction: 93900, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '93900', 'Ground Truth': '93990'}\n",
      "Label: 76614, Prediction: 76614, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '76614', 'Ground Truth': '76614'}\n",
      "Label: 10347, Prediction: 10387, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '10387', 'Ground Truth': '10347'}\n",
      "Label: 21510, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '21510'}\n",
      "Label: 21047, Prediction: 21047, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '21047', 'Ground Truth': '21047'}\n",
      "Label: 09679, Prediction: 09679, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '09679', 'Ground Truth': '09679'}\n",
      "Label: 03686, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '03686'}\n",
      "Label: 64397, Prediction: 64387, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '64387', 'Ground Truth': '64397'}\n",
      "Label: 74560, Prediction: 74510, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '74510', 'Ground Truth': '74560'}\n",
      "Label: 51282, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '51282'}\n",
      "Label: 99349, Prediction: 99349, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99349', 'Ground Truth': '99349'}\n",
      "Label: 80744, Prediction: 80744, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80744', 'Ground Truth': '80744'}\n",
      "Label: 30950, Prediction: 30850, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '30850', 'Ground Truth': '30950'}\n",
      "Label: 45063, Prediction: 45063, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '45063', 'Ground Truth': '45063'}\n",
      "Label: 05395, Prediction: 05395, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '05395', 'Ground Truth': '05395'}\n",
      "Label: 93582, Prediction: 9358, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '9358', 'Ground Truth': '93582'}\n",
      "Label: 60477, Prediction: 60477, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '60477', 'Ground Truth': '60477'}\n",
      "Label: 91710, Prediction: 91710, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '91710', 'Ground Truth': '91710'}\n",
      "Label: 28747, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '28747'}\n",
      "Label: 47593, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47593'}\n",
      "Label: 34659, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '34659'}\n",
      "Label: 57911, Prediction: 57911, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '57911', 'Ground Truth': '57911'}\n",
      "Label: 74033, Prediction: 74033, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74033', 'Ground Truth': '74033'}\n",
      "Label: 84613, Prediction: 84613, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84613', 'Ground Truth': '84613'}\n",
      "Label: 22556, Prediction: 22506, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '22506', 'Ground Truth': '22556'}\n",
      "Label: 74117, Prediction: 74117, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '74117', 'Ground Truth': '74117'}\n",
      "Label: 08057, Prediction: 08257, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '08257', 'Ground Truth': '08057'}\n",
      "Label: 01882, Prediction: 01882, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '01882', 'Ground Truth': '01882'}\n",
      "Label: 50787, Prediction: 50787, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '50787', 'Ground Truth': '50787'}\n",
      "Label: 17116, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17116'}\n",
      "Label: 20048, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20048'}\n",
      "Label: 51749, Prediction: 51749, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '51749', 'Ground Truth': '51749'}\n",
      "Label: 47687, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '47687'}\n",
      "Label: 83222, Prediction: 83222, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '83222', 'Ground Truth': '83222'}\n",
      "Label: 39428, Prediction: 39428, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '39428', 'Ground Truth': '39428'}\n",
      "Label: 22462, Prediction: 2246, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '2246', 'Ground Truth': '22462'}\n",
      "Label: 74131, Prediction: 94131, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '94131', 'Ground Truth': '74131'}\n",
      "Label: 18435, Prediction: 18435, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18435', 'Ground Truth': '18435'}\n",
      "Label: 05629, Prediction: 05429, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '05429', 'Ground Truth': '05629'}\n",
      "Label: 70839, Prediction: 70339, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '70339', 'Ground Truth': '70839'}\n",
      "Label: 42992, Prediction: 4299, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '4299', 'Ground Truth': '42992'}\n",
      "Label: 83866, Prediction: 838, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '838', 'Ground Truth': '83866'}\n",
      "Label: 32867, Prediction: 32867, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '32867', 'Ground Truth': '32867'}\n",
      "Label: 66644, Prediction: 66444, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '66444', 'Ground Truth': '66644'}\n",
      "Label: 06087, Prediction: 0608, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '0608', 'Ground Truth': '06087'}\n",
      "Label: 75942, Prediction: 75942, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75942', 'Ground Truth': '75942'}\n",
      "Label: 20064, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '20064'}\n",
      "Label: 15510, Prediction: 35510, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '35510', 'Ground Truth': '15510'}\n",
      "Label: 07583, Prediction: 07583, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '07583', 'Ground Truth': '07583'}\n",
      "Label: 67027, Prediction: 67027, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '67027', 'Ground Truth': '67027'}\n",
      "Label: 42199, Prediction: 42199, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '42199', 'Ground Truth': '42199'}\n",
      "Label: 92515, Prediction: 92515, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '92515', 'Ground Truth': '92515'}\n",
      "Label: 06411, Prediction: 06411, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '06411', 'Ground Truth': '06411'}\n",
      "Label: 15865, Prediction: 15868, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '15868', 'Ground Truth': '15865'}\n",
      "Label: 84438, Prediction: 84438, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '84438', 'Ground Truth': '84438'}\n",
      "Label: 35361, Prediction: 35361, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '35361', 'Ground Truth': '35361'}\n",
      "Label: 75996, Prediction: 75996, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '75996', 'Ground Truth': '75996'}\n",
      "Label: 79343, Prediction: 79343, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '79343', 'Ground Truth': '79343'}\n",
      "Label: 24714, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '24714'}\n",
      "Label: 49619, Prediction: 49619, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '49619', 'Ground Truth': '49619'}\n",
      "Label: 18146, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '18146'}\n",
      "Label: 44437, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '44437'}\n",
      "Label: 61489, Prediction: 61489, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '61489', 'Ground Truth': '61489'}\n",
      "Label: 83850, Prediction: 8380, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '8380', 'Ground Truth': '83850'}\n",
      "Label: 19484, Prediction: 19844, Result: {'Correct': False, 'Similarity': 1.0, 'Prediction': '19844', 'Ground Truth': '19484'}\n",
      "Label: 06648, Prediction: 06448, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '06448', 'Ground Truth': '06648'}\n",
      "Label: 48307, Prediction: 48307, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '48307', 'Ground Truth': '48307'}\n",
      "Label: 34170, Prediction: 34120, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '34120', 'Ground Truth': '34170'}\n",
      "Label: 12712, Prediction: 12712, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12712', 'Ground Truth': '12712'}\n",
      "Label: 12033, Prediction: 12033, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '12033', 'Ground Truth': '12033'}\n",
      "Label: 52534, Prediction: 52534, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '52534', 'Ground Truth': '52534'}\n",
      "Label: 81128, Prediction: 81128, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '81128', 'Ground Truth': '81128'}\n",
      "Label: 98687, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '98687'}\n",
      "Label: 89718, Prediction: 8978, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '8978', 'Ground Truth': '89718'}\n",
      "Label: 55591, Prediction: 55394, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '55394', 'Ground Truth': '55591'}\n",
      "Label: 04494, Prediction: 044, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '044', 'Ground Truth': '04494'}\n",
      "Label: 99185, Prediction: 99185, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '99185', 'Ground Truth': '99185'}\n",
      "Label: 81789, Prediction: 81 789, Result: {'Correct': False, 'Similarity': 1.0, 'Prediction': '81 789', 'Ground Truth': '81789'}\n",
      "Label: 80555, Prediction: 80555, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '80555', 'Ground Truth': '80555'}\n",
      "Label: 43994, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '43994'}\n",
      "Label: 03676, Prediction: 036, Result: {'Correct': False, 'Similarity': 0.60000000008, 'Prediction': '036', 'Ground Truth': '03676'}\n",
      "Label: 38242, Prediction: 38242, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '38242', 'Ground Truth': '38242'}\n",
      "Label: 38180, Prediction: 38180, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '38180', 'Ground Truth': '38180'}\n",
      "Label: 73595, Prediction: 738, Result: {'Correct': False, 'Similarity': 0.40000000012000003, 'Prediction': '738', 'Ground Truth': '73595'}\n",
      "Label: 12113, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '12113'}\n",
      "Label: 10688, Prediction: 10688, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '10688', 'Ground Truth': '10688'}\n",
      "Label: 51701, Prediction: 51701, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '51701', 'Ground Truth': '51701'}\n",
      "Label: 18850, Prediction: 18860, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '18860', 'Ground Truth': '18850'}\n",
      "Label: 58857, Prediction: 58857, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '58857', 'Ground Truth': '58857'}\n",
      "Label: 07296, Prediction: 07246, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '07246', 'Ground Truth': '07296'}\n",
      "Label: 45395, Prediction: 45395, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '45395', 'Ground Truth': '45395'}\n",
      "Label: 17149, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '17149'}\n",
      "Label: 23642, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '23642'}\n",
      "Label: 53970, Prediction: , Result: {'Correct': False, 'Similarity': 0.0, 'Prediction': '', 'Ground Truth': '53970'}\n",
      "Label: 63481, Prediction: 63421, Result: {'Correct': False, 'Similarity': 0.80000000004, 'Prediction': '63421', 'Ground Truth': '63481'}\n",
      "Label: 18174, Prediction: 18174, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '18174', 'Ground Truth': '18174'}\n",
      "Label: 29070, Prediction: 29070, Result: {'Correct': True, 'Similarity': 1.0, 'Prediction': '29070', 'Ground Truth': '29070'}\n",
      "Unexpected exception formatting exception. Falling back to standard exception\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/interactiveshell.py\", line 3398, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"/var/folders/0d/kmj6kw8523x6kfszxm3hmxgm0000gn/T/ipykernel_32570/4043038102.py\", line 2, in <cell line: 2>\n",
      "    for sample in test_dataset:\n",
      "  File \"/Users/maia/Documents/GitHub/professional/job_take_homes/starling/sequence-mnist/sequence_mnist/model/dataloader.py\", line 59, in __getitem__\n",
      "  File \"<__array_function__ internals>\", line 180, in hstack\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/numpy/core/shape_base.py\", line 345, in hstack\n",
      "    return _nx.concatenate(arrs, 1)\n",
      "  File \"<__array_function__ internals>\", line 180, in concatenate\n",
      "ValueError: need at least one array to concatenate\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/interactiveshell.py\", line 1993, in showtraceback\n",
      "    stb = self.InteractiveTB.structured_traceback(\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 1118, in structured_traceback\n",
      "    return FormattedTB.structured_traceback(\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 1012, in structured_traceback\n",
      "    return VerboseTB.structured_traceback(\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 865, in structured_traceback\n",
      "    formatted_exception = self.format_exception_as_a_whole(etype, evalue, etb, number_of_lines_of_context,\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 818, in format_exception_as_a_whole\n",
      "    frames.append(self.format_record(r))\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 736, in format_record\n",
      "    result += ''.join(_format_traceback_lines(frame_info.lines, Colors, self.has_colors, lvals))\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/core.py\", line 698, in lines\n",
      "    pieces = self.included_pieces\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/core.py\", line 649, in included_pieces\n",
      "    pos = scope_pieces.index(self.executing_piece)\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/core.py\", line 628, in executing_piece\n",
      "    return only(\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/executing/executing.py\", line 164, in only\n",
      "    raise NotOneValueFound('Expected one value, found 0')\n",
      "executing.executing.NotOneValueFound: Expected one value, found 0\n"
     ]
    }
   ],
   "source": [
    "test_results = []\n",
    "for sample in test_dataset:\n",
    "    pred = predict(model=model, pixel_values=sample['pixel_values'])\n",
    "    gt = sample['text']\n",
    "    result = eval_metrics(pred, gt)\n",
    "    result['Prediction'] = pred\n",
    "    result['Ground Truth'] = gt\n",
    "    test_results.append(result)\n",
    "    #print(f'Label: {gt}, Prediction: {pred}, Result: {result}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_results_df = pd.DataFrame(test_results)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unexpected exception formatting exception. Falling back to standard exception\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Traceback (most recent call last):\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/interactiveshell.py\", line 3398, in run_code\n",
      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "  File \"/var/folders/0d/kmj6kw8523x6kfszxm3hmxgm0000gn/T/ipykernel_32570/1502924233.py\", line 2, in <cell line: 2>\n",
      "    for sample in train_dataset:\n",
      "  File \"/Users/maia/Documents/GitHub/professional/job_take_homes/starling/sequence-mnist/sequence_mnist/model/dataloader.py\", line 59, in __getitem__\n",
      "  File \"<__array_function__ internals>\", line 180, in hstack\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/numpy/core/shape_base.py\", line 345, in hstack\n",
      "    return _nx.concatenate(arrs, 1)\n",
      "  File \"<__array_function__ internals>\", line 180, in concatenate\n",
      "ValueError: need at least one array to concatenate\n",
      "\n",
      "During handling of the above exception, another exception occurred:\n",
      "\n",
      "Traceback (most recent call last):\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/interactiveshell.py\", line 1993, in showtraceback\n",
      "    stb = self.InteractiveTB.structured_traceback(\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 1118, in structured_traceback\n",
      "    return FormattedTB.structured_traceback(\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 1012, in structured_traceback\n",
      "    return VerboseTB.structured_traceback(\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 865, in structured_traceback\n",
      "    formatted_exception = self.format_exception_as_a_whole(etype, evalue, etb, number_of_lines_of_context,\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 818, in format_exception_as_a_whole\n",
      "    frames.append(self.format_record(r))\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 736, in format_record\n",
      "    result += ''.join(_format_traceback_lines(frame_info.lines, Colors, self.has_colors, lvals))\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/core.py\", line 698, in lines\n",
      "    pieces = self.included_pieces\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/core.py\", line 649, in included_pieces\n",
      "    pos = scope_pieces.index(self.executing_piece)\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/utils.py\", line 145, in cached_property_wrapper\n",
      "    value = obj.__dict__[self.func.__name__] = self.func(obj)\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/stack_data/core.py\", line 628, in executing_piece\n",
      "    return only(\n",
      "  File \"/Users/maia/miniforge3/envs/huggingface/lib/python3.9/site-packages/executing/executing.py\", line 164, in only\n",
      "    raise NotOneValueFound('Expected one value, found 0')\n",
      "executing.executing.NotOneValueFound: Expected one value, found 0\n"
     ]
    }
   ],
   "source": [
    "train_counter = Counter()\n",
    "for sample in train_dataset:\n",
    "    train_counter.update(sample['text'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'3': 6131,\n",
       " '6': 5918,\n",
       " '4': 5842,\n",
       " '2': 5958,\n",
       " '8': 5851,\n",
       " '9': 5949,\n",
       " '0': 5923,\n",
       " '5': 5421,\n",
       " '7': 6265,\n",
       " '1': 6742}"
      ]
     },
     "execution_count": 232,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict(train_counter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "images = torch.hstack([torch.Tensor(img) for img in train_dataset.data[0:5]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x288fde850>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SBT33eq9bsxM2K6e+9f5OQ9M0zp49y9WrV1UWgBBCZRaUSqXbFHEgEKCnp4djx47x/PPP09vbqxT4wsIC77zzDvPz86RSqe3YpS1ldXWVeDxOKpWiq6uLt956i1AoxIkTJ+jr6+OrX/0qsKa03377bcrlMul0mu7ubr7xjW9w8uRJbDYblUqFQqHAxYsXefPNN1leXr6vdg07lWq1SjweJ5lMqoZUd8NkMmGz2ejs7OSJJ55g7969KkcePvOnJ5PJLXdjGtzOFx6dEkL8EPjhF/C+G/p8NJtN8vm8amT1IFaj9KffGqzbyQp7M2Q14f0g+2DICrxbMwlWVlZIpVJks1ldWJj3Q71ep16vk81mWV5eVr1MZIBvYGBAZV1UKhVKpRL5fJ5Go4HdbsdqtZLP51VvlEQiodvmTa08yHEuA7zymOnq6lJZSpqmqV4opVKJXC5HuVz+osTeMqTMevwdH1aBx4QQPevWdw9wx7Zsmqb9GPgxfHFDjT+PL9dsNhMKhRgbGyMYDKqTWr5v63vvNp+xzFrp6+vbFdWW90s8HufMmTMMDQ2p/jA9PT2cOnWKrq4upqenyeVyPP7444yMjDA5OYnFYqFarTI1NUU8HufGjRvMzc2pdFW9EgwGeeKJJ1hYWOCDDz4gHo8rhdaKXKFOTk5y6tQpuru7OX78OD09PcqFUqlUSKfTpFIp3n//fc6cOUM6nd7RirHZbBKJRLhy5QpjY2MMDAzsuOSEu/GwCvxV4AfAX63/fWXLJHoAtiIQZzKZ8Hq99PT04PF4vrBCoJ2G7G/R3d2Nz+fT1UH7eclms9y4cUP5ssvlMl6vl8HBQVZXVxkdHSWXy3H48GH27dtHKBTCbDZTr9eJRqMsLCwQDoeJx+O6P048Hg/j4+NYrVY8Hg9Wq3XTfZJuxoGBAXWhGx0d3VAMJFMRE4kEU1NTXLp06VHuykMhs9bC4TA+n0937p77SSP8e9YClgEhRBj4n1hT3P9ZCPFnwALwL75IITeRSbXD1JubY6cghCAUCnH48GFCoZA6cfP5PNVqlZs3b3Lx4kXV+3k30Wg0lBvk5s2bOBwO9uzZg9vtxuv1cvLkScrlMmNjY3R1dWGxWEin08RiMS5evMjs7CyxWEw3yrter1MqlVRnQI/HozotWq1W3G43fr+f/fv302w2WVhYYGFhAbPZrLJWxsfHCYVCHDt2jL6+vg31AdI1FYlEOHPmDNFolFgsts17fX+srq4Si8WYmpoiGAzu6NXCZtxPFsof3+Ffz26xLA9Ea2m7wYMjhGB8fJznnntOncjNZpNYLEY8HufChQu88cYbFItFXTRqehBkGwGTycSFCxdIJpOqc2Nvby9/8Ad/gKZpKsNJBuRmZmb49a9/zeXLl3WVXVGtVsnlcqRSKSKRCFarVQ0/kZOZzGYzp06dYnh4mDfffJNwOIzVasXn8+HxeHj++ec5fvw4/f397N27d0Pqriz4uXbtGn/3d39HNBolmUxu817fH81mk5mZGZaXl3enAt+JyACmvH2e9zGZTNjtdlUyC58FY+RoNonc3ppHrRcrTGKxWOjs7KS9vR2fz7ehskxmaszNzRGPxymXy7sihXAzNE1TvaxlFlO1Wt3Q3KmVlZUV1Ta1Uqlsk9QPx+rqqkoXjEajqqrY6/Wqc8Bms+Hz+VhZWSEUCtHV1YXD4aCvr0+lWQaDQeVmkZXIq6urym0Sj8fJZrPk83ndXODkcdA6gEJP6FKBm0wmPB4PwWBw0zLn+32PtrY2XC4Xo6OjHDlyhO7ubnVgZrNZksmkiqLLk8BkMqmTWS8HaSudnZ384R/+IRMTE5w8eXJD7nulUuG1117jtddeU42ddjPlcpkLFy5w5coVurq6GB8fp6Oj47beJysrK2SzWXK5nC4DljK/e3Z2lp/+9Kd0dXXxp3/6p4RCIbWSdTgcHDlyhPHxcWw2mxrscOzYMTo6Oujv71dVqPIcyWQyVCoVzpw5w4ULF5ifnycej6sqToMvHl0qcFmJKfszSGRKoeyTcuvVtLVqsrU6zev1EggEcLlcqhxfWlqthQ1ySIRMOdJbwEPmz4+Pj3P06FG6u7s3XPyazSaLi4t8+umnG16jN6vkfmk0GqpRfyKRIJfLqaKwW58nG5jp7TcHVNfMfD7PjRs3SCaTJJNJarWaKoaTQ429Xi/Dw8Nks1mCwSBHjx7F4/HQ1tamzjW5Ei2XyxSLRSKRCNevX1dzZPVo2LTOxGxtn7vT0aUCX11dpVAokEqlKJfLaJpGe3s7ExMTyoo+efKk8s3JyRpWq5V6vU6tVlNR9fb2dg4fPqzK5KUCl03+pQXe2n9FlvDrqclTe3s7fr+fwcFBhoaGGBwcxOv1bniOxWJh7969nDp1Sm0rlUpcu3btvvPL9YocB2a3229T0olEggsXLrC0tKSqNPVIo9FQ3TPPnj2LpmmMjo5y/PhxNYnHbDbT39+P2WzG5XKpLp9ypSaHGmezWS5cuEAikeDjjz9menqaUqmkS8u7Xq9TqVSIxWJ8+umnBAIBBgcH7ziBaCehHw3UguxpLYRQClYq8GazycTEBNVqlWw2uyFo097eTqlUUq+Rlnp/f/+GIhb5/ul0WlXZtfrd5UAAGUTVg4Xqcrno7+9naGhI3W7FarWqOYeSRCJBJBL5UijwQqGAy+W6LZAlFXgikVBjwvRIs9mkWCyysrLCuXPniEajfO1rX+PgwYMqKCmEoK+vTw14brVEZZbSzMwMkUiEX/3qV8zPz7O8vKzblEpZ9i+zUS5duqRSaw0F/gUig4y1Wk0tBeXUcdl0XS71pAUut8syc+lukY/lUrNWq1EoFFRgqxW9pi7K8ue7tYc1mUyEQqENvaI7Ozs5cuQIgUBAV+lh94PFYsHn86le78FgEK/Xq9xvsmlZMpkkk8lQKBR0aWHeyurqKqVSSVUtt7bWlcf2rX+lW6FQKCilnUqlyOVyrKys6FJ5S6SekKuwzS7iOxVdKnDpozabzZRKJUqlEna7XfUEb2trY3V1VRXoABus5dXV1Q0Hq8zCkD+iPEhnZmY2WKN6VNySjo4OxsbG6O/vv2P/ZpvNxtGjR5mcnFTbisUiExMTJJNJfvazn/HLX/5S1ydrK06nU6XGPf300zz++OOqy2Wj0eDmzZtEIhEuXrzIzMzMrmnOJBu/VSoVDh8+fMfsi1v7AGmaRjgc5s033yQWi3Hjxg3dBnZbaTQaqvNkOBwG0E0AX5cKHD6zwMvlMplMBpfLpQIycikoLfJWWsegSSXemkYnp/nI225CBmpkIFYGfaUFAtyW1WO32xkYGMDpdOLxeLZL9C1FrrwcDgfBYJDe3l78fr8KYsPad1WtVikWi1QqFarV6q7Ih5crT5kE8KADKWQRlPw+dsN3Ap9Z4bJG4NY4iJwC1jr8eSegSwUul4DVapV33nlH5a6eOHECj8ejJm9LF0trbxMZgYfPpmnLqe25XI6FhQUWFxc3Vd56tjyXlpZ488036e/vZ3R0lGazSSAQIBAIUKlUiEajNJtNuru7N5RH22w2lULW2dmpG5//3fD5fAwNDdHb28u3vvUtJiYmvhQDCeTqtL29nZdeeoknn3yS0dFRNePyVlqzMeRvHgwGOXnyJJFIRHUwlDnUuxmv18uRI0cIhULMzc2xuLioMla2E10qcDmAFWBqaopiscjg4CA+n49gMEggEMDr9aqexK0KfG5ujvn5eRWUdDqd9Pf309vbS6VSIZFIkEqldL8svJVsNquKLMLhMIFAAIfDgd/vp1arkUwmqdfreL3eDQrcbDarwp/dMjqrvb2dgYEBhoaGOHTokJowv9uRlrfT6eTYsWN85zvfURN6NusBdOvFWtM0Ojo6GBkZwWKx4HK51Hi63a7AHQ4HQ0ND2O123G63ssK3e791qcBbqVQqpFIpNE3jzJkzuFwuNYm9Xq9vsKSlBZ5KpWhvb6evr29D5zVZrLNZU3s5lsxqtRKLxSgWiyqFUU+USiXee+89lpaW8Pv9+P1+yuUyy8vL2Gw22tvbCQY/a+/eaDTI5XKUSiVdZ2CYTCaVWXDo0CG+/vWvEwwGsdvt6rcsl8tqwMVuQmZP+Xw+Dh06RFdXlxopJ4P9tVqNWCxGuVxWv7Xb7VbPk+4Wj8fDnj17cDqdTE5O4nQ6CYfDRCKR7d7Nz02j0VD1H3JlId2wctSe2WwmEAjg8XioVqsbDMTtQPcKvFAoUCwWiUajXL9+XVWWmUwmZRncakWsrq7S09PDU089pQKXsKbAV1ZWqNVqt11Zc7kcH3/8MUIIVUK8E5ZQD0o2m+WVV17ZMIVIfic+n4/9+/dz7Ngx9fx6vc7S0hKpVIpMJqO7/ZWYzWaVA//000/zJ3/yJ9jtdpWNEYlEiEajyhcu86J3A/LCPDw8zMsvv0x/fz8HDhzA6XQq32+pVOLSpUvE43HC4TDhcJiBgQGee+451ffbarXS1dWFz+cjHo8Ti8Xo7e3l3XffJRqN6vbYkDQaDYrFIqVSScU9pN/b4XAwMjJCZ2cnfX19BAIB1e/cUOCfg9YKKmlJS8XUGrC8lUajoSoxpf+vNUBz648iA5ytn6nHA1YG51qRFsZm+9NoNEilUiwvL+uyK2FrwC4UCjE8PEwwGFQKOpFIUCgUlOvMZrPp8ne9FVmtbDKZCAQCBINBBgcH1cBmh8Oh0gJjsRi5XI65uTkSiQTRaJTl5WXa2trIZDJYLBYVwJbnlnQleL3eDTM29UytViOfz6sVZ7lcVueGTHaQPWNkdls8fsdRCI8E3Svwzbifob1Op5Ph4WH6+/txu93A2kSbubk5lpaWblNyrZkau+EEb8XpdDI4OEgwGNzg/4a1Fc6ZM2e4evUqU1NTutt3u91Ob28vPp+PF198kWeeeUaNRkulUvziF79QrjGr1crevXs5ceKE7pWSxWIhGAzicrk4deoUzzzzDH6/n7179+JyuXA4HAB88skn/OQnPyGdTjM3N0ehUGBlZYWVlRVisRihUIi+vj5cLteGYjer1aoCv7slOymdTvPxxx+TSCT4yle+gt1u3zAnFtZWMydPnsTn8/HOO+8wNze3rX7wXanA4d5KVnZk83g8yhqTV+Bisbjpj6I35XU/yNFqMsuktSOjzLePRqMsLi7qrhpTWqFerxe/38/Q0BATExMUi0XS6bSyOq9fv47X68Xj8VAoFDZcqPXY8wbW9t3pdKpGVIcOHcLlcilXiHQvplIpPv30U5LJJLFYbEOnRZfLRTKZpK2tbdNVm9Pp3FXuJnnhcjqd5PN5CoWCymKTQV6TyURXVxfNZpMbN25scNduB/cz0GEA+I9AN7AK/FjTtH8nhPAB/wkYBuaAf6lpWuaLE3VrcTqdjI2NMTw8rCyIYrHI4uIi8Xh81+WAb0ZnZycej4exsTFeeuklenp6VBVmNBplamqKhYUFrl27xvz8PLlcbpslvn/kxXloaIjvfe979Pb2MjExAUAkEuHdd98lEolw9epVwuEwoVCIAwcOMDw8jM1mo9FoMDU1xYULF5iZmdn2bIMHxWw209HRQVdXF11dXfj9ftra2lQnwevXrxOJRPjwww+Jx+ObtoAtFotcvHiReDzOkSNHGBsbUz2EvqyYzWb8fj82m02t1jKZDLOzsxSLxUfuWr0fC7wB/BtN0z4UQriBD4QQvwb+K+AtTdP+SgjxI+BHwJ9/caJuLe3t7YyMjDA6OqoOyFKpRDgcJp1O75oChTshl76Dg4McPHiQl19+mb6+PmVpxGIxzp49SzgcZnp6msXFxW2W+MFwu9309vYyOTnJ7//+7zM0NLRh386cOUMkEmF2dpZUKkVbW5vKB7darar96oULF4jFYrpU4K3Dqjs7O1Wsp1arMTU1xYcffsinn35KIpHYNO5TLBa5fv06qVSKeDzOysqKcjV9WZHZTB0dHaqr5/Lysppc9ahX6fczkScKRNfvF4QQV4E+4CXWRq0B/AR4Gx0ocFl9KavxzGYzzWZTTSIvl8tUKhXdnbAPgxxq3N/fvyEXGFBNi5aXl3WzGpFWp91uZ2JigsOHDzM2NqayLeTF+dq1aywtLZHNZuns7MTtdtPX16cG9Mo+18lkUs3M1JP7TLqOuru7GR4eVgVYsgVsoVAgEokwPz9PMpm8Yym9dJM4nc4vtdK+FXkhlFlbbrebjz76iHQ6rdKQHxUP5AMXQgwDx4BzQGhdubM+nT54t9fuFKTSttlsapSYbFokJ4vk8/ldV8hzKyaTib179/LCCy+owRitLCws8Prrr5PNZlX3xp2OzWZjYmKCYDDIt771Lb773e+qFgArKyucPn2ad999l9nZWd5//31sNhtPPPEEPT09PP300xw/flwNPE4kEly7do3Z2dm7ZjPtNGS2RHt7O8ePH+f48eMMDAyozp0LCwtqavw///M/37V/d1tbG4FAgFAopIKeBqiWHXv37mVwcJDp6WnOnTtHKpV65C1171uBCyFcwM+Bf61pWv5+y46FED8Efvhw4m09ZrNZ9fNuraaSfR3keCW9nLD3i+xlLtOibDYbwWCQrq4uvF6vygevVCrUajUymQzZbFY3/a/lWLDOzk5CoZC6wVqxV7FYJBaLqZz2er2O3W7H7/fT29tLZ2cndrsdWMtGkJNl9OhKk1XGbrdbjc1rtcCLxSKFQkE1orq1+lK2TJbDjn0+H3a7XaUQGmycDyDPq+1oxXBfClwIYWVNef9U07RfrG+OCSF61q3vHmDThEhN034M/Hj9fbZ9HSpP2P7+fhWNz+fzKitBjp/S05L5fujr6+PYsWN0dnby+OOPEwqF1GAHqdCr1Sqvv/46Fy9e5MMPP9SN8pKFKqFQiK9//etMTk7S39+vhg+89957xONx3n77bS5fvkx7ezuTk5N0d3fz7W9/m4mJCdxuN7lcjps3b/Laa6+xtLTEwsLCdu/aA9M647Krq4u+vj6VWbSyssLS0hLLy8tkMhmq1eoGQ0W2ZB4bG2PPnj309vby1FNP4ff7GR8fVxcCgzUikQiXL19mfn6eaDS6LdOI7icLRQD/Abiqadq/bfnXq8APgL9a//vKFyLhFiKEUKlUXq9XlRHLrnPValVVWe42vF4ve/fupb+/n+985zubDnSo1+tcuXKF06dPE41GdeNGkjMdZWDpyJEjAKq3zUcffUQ4HOb69euEw2GGhobo6elhaGiIAwcOcODAAfL5vJrCdPXqVRYWFshms9u7Yw+BVOAmkwmXy7UhR1u2RUin07ct9eXrLBYLXV1d7Nu3j/7+fo4dO4bX61V90lvRazHbVpHL5ZieniYcDqtBGY86dnY/FvhXgP8S+FQI8fH6tv+RNcX9n4UQfwYsAP/iC5Fwi+no6GBoaIhQKITFYqHZbBKJRJieniYaje4q5W02mxkYGCAQCHD06FFOnDhBIBBQhUuSWq1GNpslnU4TiUQIh8Pk83ndnJx2u51gMKimpstAZCaTIRaLKYtzz549TExMMDw8zNGjR/H7/TgcDgqFAleuXOHKlStMTU2RTCZ1Ox5M5q7X63VisRiLi4sqpVKmznZ2dhKLxXA6nep1NpuN7u5u2tvblQXu8/nUwAsZxGw0GtRqNVKpFJ988gnz8/MsLS1t1+5uK611I9LtuhOzUM4Ad1o3Pbu14nyxCCGUdTE4OKjSxW7evKmmau+m7BOLxcLBgwc5dOgQR48e5Zvf/CZOp/O21qGVSoWFhQWWl5eZmZlhdnZWV9aV7CgpL1Yej4dYLMbCwgLz8/OqwvDb3/42x44dUwrcbDZTLBbJZDK8//77vPrqq6RSKSKRCJVKRTf734pU4NVqlcXFRW7cuMHw8DAdHR243W4OHz5MtVrFYrFsmLzkcrnU5CW3243L5VKZWq1uE6m0otEov/vd77h8+TKxWEyX39XnpVqtkk6nyWQy22J9wy6uxLwVGZjp6OjA7/crK7Rer5PL5Ugmk7qyOu8HmbM6ODhIV1fXhsnigOrCl0wmmZ6eJh6Pk8vldLcKubViUroC7Ha7WnGVSiX6+vro7u7G5XKphmULCwvkcjnC4TCpVEplIOn9OGg0GqTTaZaXl/H7/aqaUFZNyi6UEqfTqUbuORwONWYQPuufU6/X1QVucXGRdDqtqhV3E41Gg0wmQzweV4HwVmSiQ6lUUhb4dq3WvhQK3GKx4PV61eDjkydP0tbWRr1ep1AocP36dc6fP0+pVNpVFrjVauXo0aO8+OKLOJ3ODSXPmqZx/fp1Pv74Y+bn53njjTdUwYbeqNVq5HK5DeO9Ojs7GR0dpbe3l/HxcTRNUxZ6Op1W5eOvv/66GuIRDodpNBq6HpvW2l3w/PnzRKNRbDYbk5OTyoixWCzs37+f0dFR9Tqz2YzT6VSl4a3IC10ikeDSpUucPn2adDrNpUuXyGQyunQ13Y1SqcTZs2dZWFjA4XAwOTmpLmarq6uqAdrMzAyXL18mk8lsW6rtl0KBS8tDdlDz+XwIIVS/cJmFshssr1aEEHR0dBAMBjekOcnCpUwmw8LCAjdv3uTGjRtkMrrphLAB6TKQY75kH2c5hMLv9wNr1ZkOh4NkMkkikSASiTA1NcXMzIyypHYL0gI3mUxks1nV00Mq6FublrUi++BIN5qMkcTjcRYXF7l+/brq2qeX2ZEPQqPRIJFIoGka6XSaSqWyoWNpoVAgk8mQTqfVkJTtMvy+dAq8NfMklUqRTCbVMlBvroN70Wg0uHr1Kr/5zW/o7e1l37591Go1Ll++TDKZ5Le//S2/+93vttWC2ArK5TJLS0vUajV++9vfkkwmGRoaYnh4mNXVVdUi+O2331YpX9euXSOXyzE7O6vSR3cT9XqdSCRCNpvl9OnTwJrb5MCBA6oN7J0mLKXTadX/XSrrGzdusLy8TDQaJRKJqAvlbqTRaKgWuz//+c+5fPnyBndSPp+nVqsxPz+vWgwYLpQvkNbiBHklrdfryhLTa8bBvWg2m8zMzHD27FlVVl6tVrly5Qqzs7OcPXuW9957T/cXrtYh1BcuXCCZTPLMM88wOTmppqzU63XOnTvH6dOnicfjzM3N7crfXNJsNkkkEqrbZLFYZGhoSE1ckrMxb0XTNLLZLAsLC8zNzfHGG2+QSCS4efMm8Xh8wwSr3Yq0wAEWFxd54403Nn3eTlitfykUuLTCAC5dusSvfvUrKpWKusrKIce7jWazSTQaxeFwUK1W1fShjz76iOXlZZLJ5I44CLcKaXU2Gg3a29tVoFJOWZmamlLlznq/aN0vmqapiVWNRoOzZ8/i9XpVts5mz19eXmZ5eVlVrhYKBcrlsm5b635edvI5Ih6lcNtZiSln2zmdThwOB5qmqaKdUqm065bQEjnLUE6lkeXyUpnvpv2W1qbFYlHDegHVy6RcLiulvpuC1fdCtoA1m82qJF6eD5shrWwZW5DTrr6MynsH8YGmaY/fuvFLo8ANDAwMdMymCtzoTGNgYGCgUwwFbmBgYKBTDAVuYGBgoFMMBW5gYGCgUwwFbmBgYKBTHnUeeBIorf/VKwEM+bcTPcuvZ9nBkH87ub2BP484jRBACHFhs3QYvWDIv73oWX49yw6G/DsRw4ViYGBgoFMMBW5gYGCgU7ZDgf94Gz5zKzHk3170LL+eZQdD/h3HI/eBGxgYGBhsDYYLxcDAwECnPFIFLoR4XghxXQgxLYT40aP87AdFCDEghPhnIcRVIcRlIcS/Wt/uE0L8Wggxtf63c7tlvRtCCLMQ4iMhxC/XH+tGfiGEVwjxMyHEtfXf4Smdyf/frx87l4QQfy+EsO9k+YUQfyOEiAshLrVsu6O8Qoi/WD+XrwshntseqT/jDvL/L+vHz0UhxP8rhPC2/G9Hyf8wPDIFLoQwA/8H8C3gAPDHQogDj+rzH4IG8G80TdsPPAn8N+vy/gh4S9O0ceCt9cc7mX8FXG15rCf5/x3wuqZp+4AjrO2HLuQXQvQB/x3wuKZpBwEz8EfsbPn/Fnj+lm2byrt+LvwRMLn+mr9eP8e3k7/ldvl/DRzUNO0wcAP4C9ix8j8wj9ICPwlMa5o2q2laDfgH4KVH+PkPhKZpUU3TPly/X2BNefSxJvNP1p/2E+DlbRHwPhBC9APfAf59y2ZdyC+E6AC+BvwHAE3TapqmZdGJ/OtYAIcQwgI4gQg7WH5N034LpG/ZfCd5XwL+QdO0FU3TbgLTrJ3j28Zm8mua9oamaXKE0Fmgf/3+jpP/YXiUCrwPWGx5HF7ftuMRQgwDx4BzQEjTtCisKXkguI2i3Yv/DfgfgNZO/HqRfxRIAP/3ugvo3wsh2tGJ/JqmLQH/K7AARIGcpmlvoBP5W7iTvHo8n/9r4J/W7+tR/tt4lApcbLJtx6fACCFcwM+Bf61pWn675blfhBAvAHFN0z7YblkeEgvwGPB/app2jLUWDDvJ3XBX1n3FLwEjQC/QLoT4/vZKtaXo6nwWQvwla27Rn8pNmzxtx8p/Jx6lAg8DAy2P+1lbUu5YhBBW1pT3TzVN+8X65pgQomf9/z1AfLvkuwdfAV4UQsyx5q56Rgjx/6Af+cNAWNO0c+uPf8aaQteL/L8H3NQ0LaFpWh34BfBfoB/5JXeSVzfnsxDiB8ALwJ9on+VN60b+u/EoFfh5YFwIMSKEsLEWQHj1EX7+AyGEEKz5X69qmvZvW/71KvCD9fs/AF551LLdD5qm/YWmaf2apg2z9l3/RtO076Mf+ZeBRSHE3vVNzwJX0In8rLlOnhRCONePpWdZi6PoRX7JneR9FfgjIUSbEGIEGAfe3wb57ooQ4nngz4EXNU0rt/xLF/LfE03THtkN+DZrkeAZ4C8f5Wc/hKxPs7akugh8vH77NuBnLRo/tf7Xt92y3se+fB345fp93cgPHAUurP8G/x/QqTP5/2fgGnAJ+DugbSfLD/w9a/76OmsW6p/dTV7gL9fP5evAt3ao/NOs+brlOfx/7VT5H+ZmVGIaGBgY6BSjEtPAwMBApxgK3MDAwECnGArcwMDAQKcYCtzAwMBApxgK3MDAwECnGArcwMDAQKcYCtzAwMBApxgK3MDAwECn/P+2Y01EFCmd+gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(images, cmap='gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x28918c310>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Checking out the images\n",
    "try:\n",
    "    i += 1\n",
    "except:\n",
    "    i = 0\n",
    "\n",
    "plt.imshow(train_dataset.data[i], cmap=\"gray\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Prediction</th>\n",
       "      <th>Ground Truth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Correct</th>\n",
       "      <th>Similarity</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">False</th>\n",
       "      <th>0.0</th>\n",
       "      <td>399</td>\n",
       "      <td>399</td>\n",
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       "    <tr>\n",
       "      <th>0.4</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
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       "      <th>0.6</th>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
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       "    <tr>\n",
       "      <th>0.8</th>\n",
       "      <td>490</td>\n",
       "      <td>490</td>\n",
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       "      <th>1.0</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>True</th>\n",
       "      <th>1.0</th>\n",
       "      <td>1023</td>\n",
       "      <td>1023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Prediction  Ground Truth\n",
       "Correct Similarity                          \n",
       "False   0.0                399           399\n",
       "        0.4                  7             7\n",
       "        0.6                 76            76\n",
       "        0.8                490           490\n",
       "        1.0                  5             5\n",
       "True    1.0               1023          1023"
      ]
     },
     "execution_count": 210,
     "metadata": {},
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    }
   ],
   "source": [
    "test_results_df.groupby(['Correct', 'Similarity']).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 262,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Correct</th>\n",
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       "      <th>Prediction</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Correct, Similarity, Prediction, Ground Truth]\n",
       "Index: []"
      ]
     },
     "execution_count": 262,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_results_df[\n",
    "    (test_results_df[\"Similarity\"] == 0.0) & (test_results_df[\"Prediction\"] != \"\")\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All similarity 0 results were sequences for which there was no prediction. If a prediction was made it is likely to be very similar (4/5 letters or 0.8 similarity) 490/573 = 86%"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interesting edge case, spaces sometimes detected:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  </thead>\n",
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       "    <tr>\n",
       "      <th>1299</th>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40 950</td>\n",
       "      <td>40950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1765</th>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>82 430</td>\n",
       "      <td>82430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1834</th>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>08 416</td>\n",
       "      <td>08416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1967</th>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>19844</td>\n",
       "      <td>19484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980</th>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>81 789</td>\n",
       "      <td>81789</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Correct  Similarity Prediction Ground Truth\n",
       "1299    False         1.0     40 950        40950\n",
       "1765    False         1.0     82 430        82430\n",
       "1834    False         1.0     08 416        08416\n",
       "1967    False         1.0      19844        19484\n",
       "1980    False         1.0     81 789        81789"
      ]
     },
     "execution_count": 211,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_results_df[(test_results_df['Correct'] == False) & (test_results_df['Similarity'] == 1.0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Complete Match Accuracy: 51.1%\n",
      "Mean Similarity Measure: 0.73\n"
     ]
    }
   ],
   "source": [
    "accuracy = sum(test_results_df['Correct'] == True) / len(test_results_df)\n",
    "print(f'Complete Match Accuracy: {accuracy*100:.1f}%')\n",
    "avg_sim = test_results_df['Similarity'].mean()\n",
    "print(f'Mean Similarity Measure: {avg_sim:.2f}')"
   ]
  }
 ],
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