classification-star.ipynb

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   "source": [
    "# **Categorization Stars**\n",
    "\n",
    "This project have goal prediction if one Star is Giant or Dwarfs, used Morgan-Keen (MK) classification system, kinds the learned models are the Classifications. The dataset for this proyect comes from [Kaggle Star](s).\n",
    "\n",
    "\n"
   ]
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   "source": [
    "## Setting\n"
   ]
  },
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     "text": [
      "/kaggle/input/star-categorization-giants-and-dwarfs/Star99999_raw.csv\n",
      "/kaggle/input/star-categorization-giants-and-dwarfs/Star39552_balanced.csv\n",
      "/kaggle/input/star-categorization-giants-and-dwarfs/Star9999_raw.csv\n",
      "/kaggle/input/star-categorization-giants-and-dwarfs/Star3642_balanced.csv\n"
     ]
    }
   ],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "# Libraries\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session\n"
   ]
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   },
   "source": [
    "# Get Data #"
   ]
  },
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   "source": [
    "The raw data will be processed, apply pre-processing, clean and then Balance."
   ]
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   "source": [
    "# Read Data\n",
    "dataRaw = pd.read_csv('/kaggle/input/star-categorization-giants-and-dwarfs/Star99999_raw.csv') # data initial or Raw \n",
    "dataBalanced = pd.read_csv('../input/star-categorization-giants-and-dwarfs/Star39552_balanced.csv') # data pre-processed"
   ]
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   "source": [
    "#  **Exploratory Data Analysis** \n",
    "Information about `dataRaw`, counts of non-null per  columns and its type."
   ]
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      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 99999 entries, 0 to 99998\n",
      "Data columns (total 6 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   Unnamed: 0  99999 non-null  int64 \n",
      " 1   Vmag        99999 non-null  object\n",
      " 2   Plx         99999 non-null  object\n",
      " 3   e_Plx       99999 non-null  object\n",
      " 4   B-V         99999 non-null  object\n",
      " 5   SpType      97377 non-null  object\n",
      "dtypes: int64(1), object(5)\n",
      "memory usage: 4.6+ MB\n"
     ]
    }
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   "source": [
    "dataRaw.info()  # review types variable"
   ]
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   "source": [
    "Overall data and convert object to numeric.\n"
   ]
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <td>99999.0</td>\n",
       "      <td>49999.000000</td>\n",
       "      <td>28867.369122</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>24999.500</td>\n",
       "      <td>49999.000</td>\n",
       "      <td>74998.500</td>\n",
       "      <td>99998.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vmag</th>\n",
       "      <td>99998.0</td>\n",
       "      <td>8.369750</td>\n",
       "      <td>1.313896</td>\n",
       "      <td>-1.440000</td>\n",
       "      <td>7.640</td>\n",
       "      <td>8.440</td>\n",
       "      <td>9.140</td>\n",
       "      <td>14.080000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plx</th>\n",
       "      <td>99768.0</td>\n",
       "      <td>7.212467</td>\n",
       "      <td>11.348988</td>\n",
       "      <td>-54.950001</td>\n",
       "      <td>2.510</td>\n",
       "      <td>4.630</td>\n",
       "      <td>8.410</td>\n",
       "      <td>772.330017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>e_Plx</th>\n",
       "      <td>99768.0</td>\n",
       "      <td>1.365385</td>\n",
       "      <td>1.816838</td>\n",
       "      <td>0.380000</td>\n",
       "      <td>0.880</td>\n",
       "      <td>1.100</td>\n",
       "      <td>1.390</td>\n",
       "      <td>114.459999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B-V</th>\n",
       "      <td>98871.0</td>\n",
       "      <td>0.704726</td>\n",
       "      <td>0.489679</td>\n",
       "      <td>-0.400000</td>\n",
       "      <td>0.348</td>\n",
       "      <td>0.612</td>\n",
       "      <td>1.075</td>\n",
       "      <td>5.460000</td>\n",
       "    </tr>\n",
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       "              count          mean           std        min        25%  \\\n",
       "Unnamed: 0  99999.0  49999.000000  28867.369122   0.000000  24999.500   \n",
       "Vmag        99998.0      8.369750      1.313896  -1.440000      7.640   \n",
       "Plx         99768.0      7.212467     11.348988 -54.950001      2.510   \n",
       "e_Plx       99768.0      1.365385      1.816838   0.380000      0.880   \n",
       "B-V         98871.0      0.704726      0.489679  -0.400000      0.348   \n",
       "\n",
       "                  50%        75%           max  \n",
       "Unnamed: 0  49999.000  74998.500  99998.000000  \n",
       "Vmag            8.440      9.140     14.080000  \n",
       "Plx             4.630      8.410    772.330017  \n",
       "e_Plx           1.100      1.390    114.459999  \n",
       "B-V             0.612      1.075      5.460000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "dataRaw['Vmag'] = pd.to_numeric(dataRaw['Vmag'] , downcast='float' , errors='coerce')\n",
    "dataRaw['Plx'] = pd.to_numeric(dataRaw['Plx'] , downcast='float' , errors='coerce')\n",
    "dataRaw['e_Plx'] = pd.to_numeric(dataRaw['e_Plx'] , downcast='float' , errors='coerce')\n",
    "dataRaw['B-V'] = pd.to_numeric(dataRaw['B-V'] , downcast='float' , errors='coerce')\n",
    "dataRaw.describe().T"
   ]
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   "source": [
    "### Missing Values ###"
   ]
  },
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   "source": [
    "Numbers the missing Values and its percent missing. "
   ]
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     "name": "stdout",
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     "text": [
      "Num_null:  4213\n",
      "Percentage Missing:  0.702%\n"
     ]
    }
   ],
   "source": [
    "missingValueCount = dataRaw.isnull().sum()\n",
    "print('Num_null: ' , missingValueCount.sum() )\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "totalData = np.product(dataRaw.shape)\n",
    "percentMissing=missingValueCount.sum()/totalData\n",
    "\n",
    "print('Percentage Missing:', '{: .3%}'.format(percentMissing))\n",
    "dataRaw.dropna(inplace=True)\n",
    "dataRaw.fillna(0)\n",
    "dataRaw = dataRaw.drop(['Unnamed: 0'], axis=1)\n"
   ]
  },
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   "source": [
    "## Pre-Processing ##\n",
    "\n",
    "### New Variables\n",
    "\n",
    "#### Generate four new variables.\n",
    "\n",
    "- **Amag**    Absolute Magnitude of the Star.\n",
    "- **e_Amag**  Progation error.\n",
    "- **eA/A**    Percent error Amag.\n",
    "- **eP/P**    Percent error.\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
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   "source": [
    "# New variables\n",
    "\n",
    "data = dataRaw.copy()\n",
    "data = data[data.Plx != 0]\n",
    "data = data.reset_index(drop=True)\n",
    "\n",
    "data['Amag']   = data['Vmag'] + 5*( np.log10( np.abs( data['Plx'] ) )+ 1 )  # log is ln\n",
    "data['e_Amag'] = 5*data['e_Plx']/(data['Plx']*np.log(10) )   # propagacion de error\n",
    "\n",
    "data['eA/A']   = data['e_Amag']/data['Amag']\n",
    "data['eP/P']   = data['e_Plx']/data['Plx']\n",
    "\n"
   ]
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   "source": [
    "###  Target \n",
    "\n",
    "The Target `TargetClass ` is give by Classification MK. "
   ]
  },
  {
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   "source": [
    "data['TargetClass'] = data['SpType']\n",
    "\n",
    "data = data.reset_index(drop=True) # reindexar debido al drop\n"
   ]
  },
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   "source": [
    "## Target Class: Giants or Dwarfs ##\n",
    "\n",
    "**TargetClass** - Whether the Star is Dwarf (0) or Giant (1)"
   ]
  },
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     "start_time": "2023-05-24T20:04:31.559530",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Procesamiento target, clasificar en Giants and dwarfs\n",
    "for i in range(len(data['TargetClass'])):\n",
    "    itarget= str( data.loc[i,'TargetClass'] )\n",
    "    if 'I' in list(itarget): \n",
    "        data.loc[i,'TargetClass'] = 1   # 1 giant       \n",
    "    elif (\"VII\" or \"VI\") in list( itarget): \n",
    "        data.loc[i,'TargetClass'] = 0 # VII is Dwarf (0)\n",
    "    elif \"V\" in list( itarget): \n",
    "        if ('G' or 'K' or 'M' or 'L' or 'T') in  list(itarget):\n",
    "            data.loc[i,'TargetClass'] = 0\n",
    "        else:\n",
    "            data.loc[i,'TargetClass'] = 9\n",
    "    else: \n",
    "        data.loc[i,'TargetClass'] = 9 # None\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d901993c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:07:47.808591Z",
     "iopub.status.busy": "2023-05-24T20:07:47.793444Z",
     "iopub.status.idle": "2023-05-24T20:07:48.396984Z",
     "shell.execute_reply": "2023-05-24T20:07:48.395982Z",
     "shell.execute_reply.started": "2023-05-24T19:46:55.505655Z"
    },
    "papermill": {
     "duration": 0.675583,
     "end_time": "2023-05-24T20:07:48.397161",
     "exception": false,
     "start_time": "2023-05-24T20:07:47.721578",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='TargetClass', ylabel='count'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"TargetClass\", data=data )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b18f0422",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:07:48.533927Z",
     "iopub.status.busy": "2023-05-24T20:07:48.532683Z",
     "iopub.status.idle": "2023-05-24T20:07:48.537455Z",
     "shell.execute_reply": "2023-05-24T20:07:48.536826Z",
     "shell.execute_reply.started": "2023-05-24T19:46:56.118309Z"
    },
    "papermill": {
     "duration": 0.082431,
     "end_time": "2023-05-24T20:07:48.537619",
     "exception": false,
     "start_time": "2023-05-24T20:07:48.455188",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9    65279\n",
       "1    26647\n",
       "0     4781\n",
       "Name: TargetClass, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['TargetClass'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dddccad",
   "metadata": {
    "papermill": {
     "duration": 0.056929,
     "end_time": "2023-05-24T20:07:48.651786",
     "exception": false,
     "start_time": "2023-05-24T20:07:48.594857",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Selection only Giants or Dwarfs ###\n",
    "\n",
    "Copy and drop number 9.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4f18c02e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:07:48.787964Z",
     "iopub.status.busy": "2023-05-24T20:07:48.786865Z",
     "iopub.status.idle": "2023-05-24T20:07:48.793435Z",
     "shell.execute_reply": "2023-05-24T20:07:48.792741Z",
     "shell.execute_reply.started": "2023-05-24T19:46:56.146609Z"
    },
    "papermill": {
     "duration": 0.084478,
     "end_time": "2023-05-24T20:07:48.793608",
     "exception": false,
     "start_time": "2023-05-24T20:07:48.709130",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "df = data[data.TargetClass != 9 ] # != return  boolean"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe715f7b",
   "metadata": {
    "papermill": {
     "duration": 0.056903,
     "end_time": "2023-05-24T20:07:48.907898",
     "exception": false,
     "start_time": "2023-05-24T20:07:48.850995",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Balance\n",
    "\n",
    "In this section, we make balance the `dataRAw` based in [Imbalanced Classes](https://elitedatascience.com/imbalanced-classes). The above have goal of equilibrium  target in order  to avoid bias."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "70904301",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:07:49.036259Z",
     "iopub.status.busy": "2023-05-24T20:07:49.035394Z",
     "iopub.status.idle": "2023-05-24T20:07:49.165687Z",
     "shell.execute_reply": "2023-05-24T20:07:49.164868Z",
     "shell.execute_reply.started": "2023-05-24T19:46:56.180905Z"
    },
    "papermill": {
     "duration": 0.200672,
     "end_time": "2023-05-24T20:07:49.165863",
     "exception": false,
     "start_time": "2023-05-24T20:07:48.965191",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9562 entries, 27343 to 96675\n",
      "Data columns (total 10 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   Vmag         9562 non-null   float32\n",
      " 1   Plx          9562 non-null   float32\n",
      " 2   e_Plx        9562 non-null   float32\n",
      " 3   B-V          9562 non-null   float32\n",
      " 4   SpType       9562 non-null   object \n",
      " 5   Amag         9562 non-null   float32\n",
      " 6   e_Amag       9562 non-null   float32\n",
      " 7   eA/A         9562 non-null   float32\n",
      " 8   eP/P         9562 non-null   float32\n",
      " 9   TargetClass  9562 non-null   object \n",
      "dtypes: float32(8), object(2)\n",
      "memory usage: 522.9+ KB\n"
     ]
    }
   ],
   "source": [
    "# dividir set \n",
    "\n",
    "dfGiants = df[df.TargetClass == 1]\n",
    "dfDwarfs = df[df.TargetClass == 0]\n",
    "num_of_giant = dfGiants.shape[0]\n",
    "num_of_dwarf = dfDwarfs.shape[0]\n",
    "\n",
    "from sklearn.utils import resample\n",
    "dfGiantsDownSample = resample(dfGiants, \n",
    "                             replace = False, # sample without replacement\n",
    "                             n_samples = num_of_dwarf,\n",
    "                             random_state =1 \n",
    "                             )\n",
    "dfDownSampled = pd.concat([dfGiantsDownSample , dfDwarfs] )\n",
    "dfDownSampled.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "052ee4e9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:07:49.305558Z",
     "iopub.status.busy": "2023-05-24T20:07:49.304765Z",
     "iopub.status.idle": "2023-05-24T20:07:49.505828Z",
     "shell.execute_reply": "2023-05-24T20:07:49.505106Z",
     "shell.execute_reply.started": "2023-05-24T19:46:56.362926Z"
    },
    "papermill": {
     "duration": 0.281487,
     "end_time": "2023-05-24T20:07:49.506046",
     "exception": false,
     "start_time": "2023-05-24T20:07:49.224559",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1    4781\n",
      "0    4781\n",
      "Name: TargetClass, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='TargetClass', data=dfDownSampled)\n",
    "print( dfDownSampled['TargetClass'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "80f45f2f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:07:49.632088Z",
     "iopub.status.busy": "2023-05-24T20:07:49.631327Z",
     "iopub.status.idle": "2023-05-24T20:07:49.650060Z",
     "shell.execute_reply": "2023-05-24T20:07:49.649256Z",
     "shell.execute_reply.started": "2023-05-24T19:46:56.616004Z"
    },
    "papermill": {
     "duration": 0.084463,
     "end_time": "2023-05-24T20:07:49.650226",
     "exception": false,
     "start_time": "2023-05-24T20:07:49.565763",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 9562 entries, 0 to 9561\n",
      "Data columns (total 10 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   Vmag         9562 non-null   float32\n",
      " 1   Plx          9562 non-null   float32\n",
      " 2   e_Plx        9562 non-null   float32\n",
      " 3   B-V          9562 non-null   float32\n",
      " 4   SpType       9562 non-null   object \n",
      " 5   Amag         9562 non-null   float32\n",
      " 6   e_Amag       9562 non-null   float32\n",
      " 7   eA/A         9562 non-null   float32\n",
      " 8   eP/P         9562 non-null   float32\n",
      " 9   TargetClass  9562 non-null   object \n",
      "dtypes: float32(8), object(2)\n",
      "memory usage: 448.3+ KB\n"
     ]
    }
   ],
   "source": [
    "dfBalanced= dfDownSampled.reset_index(drop=True)\n",
    "\n",
    "dataStar = dfBalanced.sample(frac=1).reset_index(drop=True) # shuffle\n",
    "\n",
    "dataStar.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a55590b1",
   "metadata": {
    "papermill": {
     "duration": 0.059013,
     "end_time": "2023-05-24T20:07:49.768943",
     "exception": false,
     "start_time": "2023-05-24T20:07:49.709930",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# **Visualization** ##"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb764b38",
   "metadata": {
    "papermill": {
     "duration": 0.059181,
     "end_time": "2023-05-24T20:07:49.887661",
     "exception": false,
     "start_time": "2023-05-24T20:07:49.828480",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Histogram Graph\n",
    "\n",
    "Here, we have one Histogram per each variable (columns), in this way,  we see the distribution of these variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "fdf27d00",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:07:50.010726Z",
     "iopub.status.busy": "2023-05-24T20:07:50.009908Z",
     "iopub.status.idle": "2023-05-24T20:07:52.954814Z",
     "shell.execute_reply": "2023-05-24T20:07:52.954133Z",
     "shell.execute_reply.started": "2023-05-24T19:46:56.644866Z"
    },
    "papermill": {
     "duration": 3.00785,
     "end_time": "2023-05-24T20:07:52.954994",
     "exception": false,
     "start_time": "2023-05-24T20:07:49.947144",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'Vmag'}>,\n",
       "        <AxesSubplot:title={'center':'Plx'}>,\n",
       "        <AxesSubplot:title={'center':'e_Plx'}>],\n",
       "       [<AxesSubplot:title={'center':'B-V'}>,\n",
       "        <AxesSubplot:title={'center':'Amag'}>,\n",
       "        <AxesSubplot:title={'center':'e_Amag'}>],\n",
       "       [<AxesSubplot:title={'center':'eA/A'}>,\n",
       "        <AxesSubplot:title={'center':'eP/P'}>,\n",
       "        <AxesSubplot:title={'center':'TargetClass'}>]], dtype=object)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "dataStar['TargetClass'] = pd.to_numeric(dataStar['TargetClass'] , downcast='float' , errors='coerce')\n",
    "dataStar.dropna(inplace=True)\n",
    "\n",
    "\n",
    "dataStar.hist(bins=50 , figsize=(20,15) ) # histogram"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2747fda",
   "metadata": {
    "papermill": {
     "duration": 0.062425,
     "end_time": "2023-05-24T20:07:53.081084",
     "exception": false,
     "start_time": "2023-05-24T20:07:53.018659",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Scatter Graph\n",
    "\n",
    "The next  two graphs show relationship among quantities most relevant for determinar Categorization Star."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4c7c53ad",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:07:53.215365Z",
     "iopub.status.busy": "2023-05-24T20:07:53.214486Z",
     "iopub.status.idle": "2023-05-24T20:07:53.794922Z",
     "shell.execute_reply": "2023-05-24T20:07:53.794098Z",
     "shell.execute_reply.started": "2023-05-24T19:46:59.691755Z"
    },
    "papermill": {
     "duration": 0.651941,
     "end_time": "2023-05-24T20:07:53.795111",
     "exception": false,
     "start_time": "2023-05-24T20:07:53.143170",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sns.set()\n",
    "colors = {1:'red', 0:'yellow'}\n",
    "dataStar.plot.scatter( x=\"Plx\" ,y=\"Amag\" ,  c=dataStar['TargetClass'].map(colors) ,s=5); # problem with TargetClass\n",
    "#plt.xlabel(\"Plx\")\n",
    "#plt.figure()\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2c3b7c5c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:07:53.933943Z",
     "iopub.status.busy": "2023-05-24T20:07:53.932774Z",
     "iopub.status.idle": "2023-05-24T20:07:54.430474Z",
     "shell.execute_reply": "2023-05-24T20:07:54.429667Z",
     "shell.execute_reply.started": "2023-05-24T19:47:00.286778Z"
    },
    "papermill": {
     "duration": 0.572845,
     "end_time": "2023-05-24T20:07:54.430644",
     "exception": false,
     "start_time": "2023-05-24T20:07:53.857799",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "sns.set()\n",
    "dataStar.plot.scatter( x=\"B-V\" ,y=\"Amag\",cmap='viridis' ,  c=dataStar['TargetClass'].map(colors) ,s=5); # problem with TargetClass\n",
    "plt.xlabel(\"B-V\")\n",
    "plt.figure()\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b893577",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-07T16:30:41.154276Z",
     "iopub.status.busy": "2022-05-07T16:30:41.154066Z",
     "iopub.status.idle": "2022-05-07T16:30:44.14958Z",
     "shell.execute_reply": "2022-05-07T16:30:44.148602Z",
     "shell.execute_reply.started": "2022-05-07T16:30:41.154249Z"
    },
    "papermill": {
     "duration": 0.065455,
     "end_time": "2023-05-24T20:07:54.562191",
     "exception": false,
     "start_time": "2023-05-24T20:07:54.496736",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Scatter Attributes\n",
    "\n",
    "In this vizualization we see the dispersion for each variable and target with respect a other variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "adf00e17",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:07:54.698936Z",
     "iopub.status.busy": "2023-05-24T20:07:54.698148Z",
     "iopub.status.idle": "2023-05-24T20:08:09.880115Z",
     "shell.execute_reply": "2023-05-24T20:08:09.880738Z",
     "shell.execute_reply.started": "2023-05-24T19:47:00.803259Z"
    },
    "papermill": {
     "duration": 15.252502,
     "end_time": "2023-05-24T20:08:09.880955",
     "exception": false,
     "start_time": "2023-05-24T20:07:54.628453",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7838c1693510>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 798.175x720 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot( data= dataStar[ ['Vmag', 'Plx', 'B-V', 'Amag', 'TargetClass' ]], hue='TargetClass'  )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0786412e",
   "metadata": {
    "papermill": {
     "duration": 0.073775,
     "end_time": "2023-05-24T20:08:10.027892",
     "exception": false,
     "start_time": "2023-05-24T20:08:09.954117",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Correlation Linear ##\n",
    "\n",
    "In this part, we show the correlation the `TargetClass` with each other variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6078b6d4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:10.181918Z",
     "iopub.status.busy": "2023-05-24T20:08:10.180907Z",
     "iopub.status.idle": "2023-05-24T20:08:10.192801Z",
     "shell.execute_reply": "2023-05-24T20:08:10.192151Z",
     "shell.execute_reply.started": "2023-05-24T19:47:15.967015Z"
    },
    "papermill": {
     "duration": 0.091155,
     "end_time": "2023-05-24T20:08:10.192974",
     "exception": false,
     "start_time": "2023-05-24T20:08:10.101819",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TargetClass    1.000000\n",
       "B-V            0.302299\n",
       "eP/P           0.036399\n",
       "e_Amag         0.036399\n",
       "eA/A           0.023408\n",
       "e_Plx         -0.242699\n",
       "Plx           -0.365910\n",
       "Vmag          -0.381619\n",
       "Amag          -0.735124\n",
       "Name: TargetClass, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = dataStar.corr()\n",
    "corr_matrix[\"TargetClass\"].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4befffa",
   "metadata": {
    "papermill": {
     "duration": 0.0742,
     "end_time": "2023-05-24T20:08:10.342061",
     "exception": false,
     "start_time": "2023-05-24T20:08:10.267861",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Data Cleaning ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3cf6c9ad",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:10.499599Z",
     "iopub.status.busy": "2023-05-24T20:08:10.498342Z",
     "iopub.status.idle": "2023-05-24T20:08:10.501262Z",
     "shell.execute_reply": "2023-05-24T20:08:10.500534Z",
     "shell.execute_reply.started": "2023-05-24T19:47:15.982105Z"
    },
    "papermill": {
     "duration": 0.085497,
     "end_time": "2023-05-24T20:08:10.501447",
     "exception": false,
     "start_time": "2023-05-24T20:08:10.415950",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#dataStar = dataStar.drop(['Unnamed: 0'], axis =1)\n",
    "dataStar = dataStar.drop(['SpType'], axis =1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fbf69fec",
   "metadata": {
    "papermill": {
     "duration": 0.075821,
     "end_time": "2023-05-24T20:08:10.650681",
     "exception": false,
     "start_time": "2023-05-24T20:08:10.574860",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# **Data Processing** #"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "64400a93",
   "metadata": {
    "execution": {
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     "exception": false,
     "start_time": "2023-05-24T20:08:10.725594",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9562 entries, 0 to 9561\n",
      "Data columns (total 9 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   Vmag         9562 non-null   float32\n",
      " 1   Plx          9562 non-null   float32\n",
      " 2   e_Plx        9562 non-null   float32\n",
      " 3   B-V          9562 non-null   float32\n",
      " 4   Amag         9562 non-null   float32\n",
      " 5   e_Amag       9562 non-null   float32\n",
      " 6   eA/A         9562 non-null   float32\n",
      " 7   eP/P         9562 non-null   float32\n",
      " 8   TargetClass  9562 non-null   float32\n",
      "dtypes: float32(9)\n",
      "memory usage: 410.9 KB\n"
     ]
    }
   ],
   "source": [
    "dataStar.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86c5ee14",
   "metadata": {
    "papermill": {
     "duration": 0.076641,
     "end_time": "2023-05-24T20:08:10.976807",
     "exception": false,
     "start_time": "2023-05-24T20:08:10.900166",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Train and test Set ###\n",
    "\n",
    "The data is split two set, Train and test, in one  proportional of 80% and 20%, respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1a001412",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:11.140003Z",
     "iopub.status.busy": "2023-05-24T20:08:11.138990Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "\n",
    "train , test = train_test_split(dataStar , test_size = 0.2, random_state = 42 )\n",
    "train = train.reset_index(drop=True)\n",
    "test = test.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d00159c4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:11.411275Z",
     "iopub.status.busy": "2023-05-24T20:08:11.410395Z",
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     "shell.execute_reply": "2023-05-24T20:08:11.415329Z",
     "shell.execute_reply.started": "2023-05-24T19:47:16.118458Z"
    },
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     "duration": 0.083795,
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "## Stratified ##\n",
    "#from sklearn.model_selection import StratifiedShuffleSplit\n",
    "#split = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=42)\n",
    "#for train_index, test_index in split.split(data, data[\"variableStratificada\"]):\n",
    "#strat_train_set = housing.loc[train_index]\n",
    "#strat_test_set = housing.loc[test_index]\n",
    "\n",
    "#from  sklearn.impute import SimpleImputer\n",
    "#imputer = SimpleImputer(strategy='median')\n",
    "\n",
    "#from  sklearn.preprocessing import OneHotEncoder\n",
    "#catEncoder = OneHotEncoder()\n",
    "\n",
    "## numerical ##\n",
    "#from  sklearn.pipeline import Pipeline\n",
    "#from  sklearn.preprocessing import StandardScaler\n",
    "#numerical_pipeline = Pipeline([('imputer', SimpleImputer(strategy=\"median\")),('attribs_adder', CombinedAttributesAdder()),])\n",
    "# new_variable_transformed_numerical = num_pipeline.fit_transform(varible_numerica)\n",
    "\n",
    "## numerical and categorial ##\n",
    "#from sklearn import ColumnTransformer\n",
    "#numerical_attribs = list(numerical_columns)\n",
    "#categorical_attribs = list(categorial_columns)\n",
    "#full_pipeline = ColumnTransformer([(\"num\", numerical_pipeline, numerical_attribs),(\"cat\", OneHotEncoder(), categorical_attribs),])\n",
    "#dataTotal_prepared = full_pipeline.fit_transform(dataTotal) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19fc68b2",
   "metadata": {
    "papermill": {
     "duration": 0.077831,
     "end_time": "2023-05-24T20:08:11.568656",
     "exception": false,
     "start_time": "2023-05-24T20:08:11.490825",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Target ## \n",
    "\n",
    "The Target corresponds to type the Star, be it Giant(1) or Dwarf(0)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "cdb883ef",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:11.724175Z",
     "iopub.status.busy": "2023-05-24T20:08:11.723356Z",
     "iopub.status.idle": "2023-05-24T20:08:11.739991Z",
     "shell.execute_reply": "2023-05-24T20:08:11.740562Z",
     "shell.execute_reply.started": "2023-05-24T19:47:16.127223Z"
    },
    "papermill": {
     "duration": 0.096541,
     "end_time": "2023-05-24T20:08:11.740786",
     "exception": false,
     "start_time": "2023-05-24T20:08:11.644245",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7649 entries, 0 to 7648\n",
      "Data columns (total 8 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   Vmag    7649 non-null   float32\n",
      " 1   Plx     7649 non-null   float32\n",
      " 2   e_Plx   7649 non-null   float32\n",
      " 3   B-V     7649 non-null   float32\n",
      " 4   Amag    7649 non-null   float32\n",
      " 5   e_Amag  7649 non-null   float32\n",
      " 6   eA/A    7649 non-null   float32\n",
      " 7   eP/P    7649 non-null   float32\n",
      "dtypes: float32(8)\n",
      "memory usage: 239.2 KB\n"
     ]
    }
   ],
   "source": [
    "trainX = train.drop('TargetClass', axis=1)\n",
    "trainY = train['TargetClass'].copy()\n",
    "\n",
    "testX = test.drop('TargetClass', axis=1)\n",
    "testY = test['TargetClass'].copy()\n",
    "trainX.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac78bb32",
   "metadata": {
    "papermill": {
     "duration": 0.074234,
     "end_time": "2023-05-24T20:08:11.890055",
     "exception": false,
     "start_time": "2023-05-24T20:08:11.815821",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Featuring Engineering "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f382e7d9",
   "metadata": {
    "papermill": {
     "duration": 0.074761,
     "end_time": "2023-05-24T20:08:12.040094",
     "exception": false,
     "start_time": "2023-05-24T20:08:11.965333",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "##  Pipeline and Featuring Scaling ##\n",
    "\n",
    "For the  Featuring Scaling, we was used `StandardScaler`that find to get a unit variance on each  the data distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5f3b1181",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:12.195084Z",
     "iopub.status.busy": "2023-05-24T20:08:12.194204Z",
     "iopub.status.idle": "2023-05-24T20:08:12.402656Z",
     "shell.execute_reply": "2023-05-24T20:08:12.401978Z",
     "shell.execute_reply.started": "2023-05-24T19:47:16.159852Z"
    },
    "papermill": {
     "duration": 0.287389,
     "end_time": "2023-05-24T20:08:12.402847",
     "exception": false,
     "start_time": "2023-05-24T20:08:12.115458",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done\n"
     ]
    }
   ],
   "source": [
    "from  sklearn.impute import SimpleImputer\n",
    "from  sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "from  sklearn.pipeline import Pipeline\n",
    "from  sklearn.preprocessing import StandardScaler\n",
    "\n",
    "numerical_pipeline = Pipeline([('imputer', SimpleImputer(strategy=\"median\")),\n",
    "                              ('std_scaler', StandardScaler())] )\n",
    "\n",
    "from sklearn.compose import ColumnTransformer\n",
    "\n",
    "num_attribs = list(trainX)\n",
    "#cat_attribs = [\"ocean_proximity\"] ---generar lista de attribus catecorial---\n",
    "full_pipeline = ColumnTransformer([(\"num\", numerical_pipeline, num_attribs),\n",
    "#                                   (\"cat\", OneHotEncoder(), cat_attribs),\n",
    "                                  ])\n",
    "\n",
    "Xtrain = full_pipeline.fit_transform(trainX)  # array\n",
    "\n",
    "print('Done')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e927e25",
   "metadata": {
    "papermill": {
     "duration": 0.075113,
     "end_time": "2023-05-24T20:08:12.553874",
     "exception": false,
     "start_time": "2023-05-24T20:08:12.478761",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    " # **MODEL** # \n",
    "\n",
    "The applied classification models are:\n",
    "\n",
    "- Logistic Regression \n",
    "- Random Forest Classifier\n",
    "- Stochastic Gradient Descent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "92d3309f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:12.714668Z",
     "iopub.status.busy": "2023-05-24T20:08:12.713800Z",
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     "shell.execute_reply": "2023-05-24T20:08:12.781102Z",
     "shell.execute_reply.started": "2023-05-24T19:47:16.360571Z"
    },
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Models ==> ['logisRegre' , 'SVM'   , 'SGDClf' ,  'randomForestClassifier' , 'navieBayes']\n",
    "\n",
    "# Classifier\n",
    "from sklearn.linear_model import SGDClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.svm import LinearSVC\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7037712a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:12.940222Z",
     "iopub.status.busy": "2023-05-24T20:08:12.939419Z",
     "iopub.status.idle": "2023-05-24T20:08:12.970708Z",
     "shell.execute_reply": "2023-05-24T20:08:12.970005Z",
     "shell.execute_reply.started": "2023-05-24T19:47:16.429460Z"
    },
    "papermill": {
     "duration": 0.112136,
     "end_time": "2023-05-24T20:08:12.970917",
     "exception": false,
     "start_time": "2023-05-24T20:08:12.858781",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "\n",
    "SGDClf = SGDClassifier(random_state=42)\n",
    "SGDClf.fit(Xtrain, trainY) # fit equal training\n",
    "\n",
    "LRClf = LogisticRegression(random_state=0)\n",
    "RFClf = RandomForestClassifier(random_state=0)\n",
    "SVClf = LinearSVC(random_state=0)\n",
    "\n",
    "\n",
    "#SGDClf.fit(Xtrain, trainY)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10af2fa2",
   "metadata": {
    "papermill": {
     "duration": 0.075567,
     "end_time": "2023-05-24T20:08:13.123912",
     "exception": false,
     "start_time": "2023-05-24T20:08:13.048345",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Cross-Validation ##\n",
    "\n",
    "In the order to optimize,  we created a function `compareModels` that compare the different models apply cross-validation. The scoring choose is negative mean squared error. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "bdf30e05",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:13.285812Z",
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     "shell.execute_reply.started": "2023-05-24T19:47:16.463783Z"
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{0.9041716173648946: SGDClassifier(random_state=42), 0.911753008895866: LogisticRegression(random_state=0), 0.9388157314207736: RandomForestClassifier(random_state=0)}\n",
      "\n",
      "\n",
      "Best model: RandomForestClassifier(random_state=0)\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "# automatizar entre diversos modelos de la misma categoria\n",
    "def compareModels(models, x, y, numCV, scoringT=\"f1_micro\"):\n",
    "    modelsCV = dict()\n",
    "    for mod in models:\n",
    "        scores = cross_val_score(mod, x, y, scoring = scoringT, cv=numCV)\n",
    "        meanScore = scores.mean()\n",
    "        modelsCV[meanScore] = mod\n",
    "    \n",
    "    val=max(modelsCV)\n",
    "    bestModel = modelsCV[val]\n",
    "    return modelsCV,bestModel\n",
    "    \n",
    "result, model =compareModels([SGDClf , LRClf, RFClf] , Xtrain , trainY , 6)\n",
    "print(result); print('\\n'); print('Best model:', model); "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f9ee58f0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:22.248487Z",
     "iopub.status.busy": "2023-05-24T20:08:22.247444Z",
     "iopub.status.idle": "2023-05-24T20:08:23.902640Z",
     "shell.execute_reply": "2023-05-24T20:08:23.901806Z",
     "shell.execute_reply.started": "2023-05-24T19:47:25.285304Z"
    },
    "papermill": {
     "duration": 1.736741,
     "end_time": "2023-05-24T20:08:23.902826",
     "exception": false,
     "start_time": "2023-05-24T20:08:22.166085",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "model.fit(Xtrain, trainY)\n",
    "\n",
    "Xtest = full_pipeline.fit_transform(testX)\n",
    "Ypredicts = model.predict(Xtest)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67164dd1",
   "metadata": {
    "papermill": {
     "duration": 0.075742,
     "end_time": "2023-05-24T20:08:24.054777",
     "exception": false,
     "start_time": "2023-05-24T20:08:23.979035",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# **Refinament** #"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d18e6d5d",
   "metadata": {
    "papermill": {
     "duration": 0.075625,
     "end_time": "2023-05-24T20:08:24.206707",
     "exception": false,
     "start_time": "2023-05-24T20:08:24.131082",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Hyper-parameters ###"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98819910",
   "metadata": {
    "papermill": {
     "duration": 0.075248,
     "end_time": "2023-05-24T20:08:24.359760",
     "exception": false,
     "start_time": "2023-05-24T20:08:24.284512",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "We proceeded to search for the hyperparameters, using `GridSearchCV` a list of hyperparameters to experiment with."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "752da7c6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:24.519740Z",
     "iopub.status.busy": "2023-05-24T20:08:24.518870Z",
     "iopub.status.idle": "2023-05-24T20:08:24.525613Z",
     "shell.execute_reply": "2023-05-24T20:08:24.526197Z",
     "shell.execute_reply.started": "2023-05-24T19:47:26.941556Z"
    },
    "papermill": {
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     "end_time": "2023-05-24T20:08:24.526433",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.model_selection import RandomizedSearchCV\n",
    "from scipy.stats import uniform\n",
    "\n",
    "\n",
    "#distributions = dict(C=uniform(loc=0, scale=4), penalty=['l2','l1'])\n",
    "#clf=RandomizedSearchCV( RFClf , distributions , random_state=0) # arg (model , distri , ...)\n",
    "\n",
    "\n",
    "parameter_grid = [{'n_estimators':[3,5,10,12, 14,16], 'max_features':[2,4,6]} ,\n",
    "                  {'bootstrap':[False], 'n_estimators':[3,7,12,14, 16] , 'max_features':[1,2,3,4, 6]}]\n",
    "#clf=GridSearchCV( model , parameter_grid,\n",
    "#                cv=20 ,  scoring='neg_mean_squared_error' , return_train_score=True) # arg (model , distri , ...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "28ad6749",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:24.683718Z",
     "iopub.status.busy": "2023-05-24T20:08:24.682901Z",
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     "shell.execute_reply": "2023-05-24T20:08:24.689108Z",
     "shell.execute_reply.started": "2023-05-24T19:47:26.950178Z"
    },
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "randomgrid = {'n_estimators':[ 300], \n",
    "                'max_features':[\"sqrt\", 'log2'] ,\n",
    "               'criterion' : [\"entropy\", \"gini\"],\n",
    "               'bootstrap':[False, True], \n",
    "             }\n",
    "\n",
    "clf=RandomizedSearchCV( model ,\n",
    "                       randomgrid,\n",
    "                       cv=10,\n",
    "                       scoring='f1_micro' , \n",
    "                       return_train_score=True) # arg (model , distri , ...)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "403e7f7d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:08:24.847331Z",
     "iopub.status.busy": "2023-05-24T20:08:24.846009Z",
     "iopub.status.idle": "2023-05-24T20:18:18.441862Z",
     "shell.execute_reply": "2023-05-24T20:18:18.442527Z",
     "shell.execute_reply.started": "2023-05-24T19:47:26.971171Z"
    },
    "papermill": {
     "duration": 593.677899,
     "end_time": "2023-05-24T20:18:18.442764",
     "exception": false,
     "start_time": "2023-05-24T20:08:24.764865",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/sklearn/model_selection/_search.py:282: UserWarning: The total space of parameters 8 is smaller than n_iter=10. Running 8 iterations. For exhaustive searches, use GridSearchCV.\n",
      "  % (grid_size, self.n_iter, grid_size), UserWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'n_estimators': 300,\n",
       " 'max_features': 'log2',\n",
       " 'criterion': 'gini',\n",
       " 'bootstrap': True}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "clf.fit(Xtrain, trainY)\n",
    "\n",
    "clf.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "21b7123e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:18:18.605807Z",
     "iopub.status.busy": "2023-05-24T20:18:18.602823Z",
     "iopub.status.idle": "2023-05-24T20:18:18.714348Z",
     "shell.execute_reply": "2023-05-24T20:18:18.713633Z",
     "shell.execute_reply.started": "2023-05-24T20:03:13.470839Z"
    },
    "papermill": {
     "duration": 0.193703,
     "end_time": "2023-05-24T20:18:18.714529",
     "exception": false,
     "start_time": "2023-05-24T20:18:18.520826",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "Ypredfinal = clf.predict(Xtest)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42f19069",
   "metadata": {
    "papermill": {
     "duration": 0.076712,
     "end_time": "2023-05-24T20:18:18.870482",
     "exception": false,
     "start_time": "2023-05-24T20:18:18.793770",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "###  Model-Hyperparameters ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "28d7f3fe",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:18:19.029743Z",
     "iopub.status.busy": "2023-05-24T20:18:19.028926Z",
     "iopub.status.idle": "2023-05-24T20:18:19.037386Z",
     "shell.execute_reply": "2023-05-24T20:18:19.038002Z",
     "shell.execute_reply.started": "2023-05-24T20:03:16.492526Z"
    },
    "papermill": {
     "duration": 0.090433,
     "end_time": "2023-05-24T20:18:19.038214",
     "exception": false,
     "start_time": "2023-05-24T20:18:18.947781",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Score F1: 0.9472033455305803\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import  f1_score, precision_score, recall_score, confusion_matrix, ConfusionMatrixDisplay,  SCORERS\n",
    "\n",
    "\n",
    "score = f1_score(\n",
    "    testY,\n",
    "    Ypredfinal,\n",
    " #   labels=labels,\n",
    "    average='micro',\n",
    ")\n",
    "\n",
    "print(\"Score F1:\" , score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "33c7f4a5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:18:19.199278Z",
     "iopub.status.busy": "2023-05-24T20:18:19.198464Z",
     "iopub.status.idle": "2023-05-24T20:18:19.474855Z",
     "shell.execute_reply": "2023-05-24T20:18:19.475484Z",
     "shell.execute_reply.started": "2023-05-24T20:03:44.115436Z"
    },
    "papermill": {
     "duration": 0.360376,
     "end_time": "2023-05-24T20:18:19.475701",
     "exception": false,
     "start_time": "2023-05-24T20:18:19.115325",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[885  45]\n",
      " [ 56 927]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels= clf.classes_\n",
    "\n",
    "\n",
    "cmat = confusion_matrix(\n",
    "    testY,\n",
    "    Ypredfinal,\n",
    "    labels=labels,\n",
    "    #average='micro',\n",
    "\n",
    ")\n",
    "\n",
    "print(cmat)\n",
    "cmat = (cmat.T / cmat.sum(axis=1)).T # normalize\n",
    "\n",
    "\n",
    "disp = ConfusionMatrixDisplay(confusion_matrix=cmat,\n",
    "                              display_labels=clf.classes_)\n",
    "disp.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3860507f",
   "metadata": {
    "papermill": {
     "duration": 0.092615,
     "end_time": "2023-05-24T20:18:19.658784",
     "exception": false,
     "start_time": "2023-05-24T20:18:19.566169",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Future improvements"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0081aea7",
   "metadata": {
    "papermill": {
     "duration": 0.079129,
     "end_time": "2023-05-24T20:18:19.817569",
     "exception": false,
     "start_time": "2023-05-24T20:18:19.738440",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The model  can be improvement  applying a stratification to the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d25611d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-24T20:18:19.979204Z",
     "iopub.status.busy": "2023-05-24T20:18:19.978449Z",
     "iopub.status.idle": "2023-05-24T20:18:19.982617Z",
     "shell.execute_reply": "2023-05-24T20:18:19.983247Z",
     "shell.execute_reply.started": "2023-05-24T19:57:04.511448Z"
    },
    "papermill": {
     "duration": 0.087044,
     "end_time": "2023-05-24T20:18:19.983496",
     "exception": false,
     "start_time": "2023-05-24T20:18:19.896452",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# **Deploy** #"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 846.27736,
   "end_time": "2023-05-24T20:18:21.380815",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2023-05-24T20:04:15.103455",
   "version": "2.3.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}