Part-4-Compare_Models.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import lazypredict\n",
    "from lazypredict.Supervised import LazyClassifier\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_data = pd.read_csv (\"x_data.csv\")\n",
    "y_data = pd.read_csv (\"y_data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split (x_data, y_data, test_size = 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████████████████████████████████████████████████████████████████████████████| 29/29 [00:56<00:00,  1.94s/it]\n"
     ]
    }
   ],
   "source": [
    "clf = LazyClassifier (verbose = 0, predictions = True) #(verbose = 0, ignore_warnings = True, custom_metric = None)\n",
    "models, predictions = clf.fit (X_train, X_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Balanced Accuracy</th>\n",
       "      <th>ROC AUC</th>\n",
       "      <th>F1 Score</th>\n",
       "      <th>Time Taken</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Model</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ExtraTreesClassifier</th>\n",
       "      <td>0.94</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.94</td>\n",
       "      <td>1.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LabelPropagation</th>\n",
       "      <td>0.88</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.88</td>\n",
       "      <td>8.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LabelSpreading</th>\n",
       "      <td>0.88</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.88</td>\n",
       "      <td>14.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ExtraTreeClassifier</th>\n",
       "      <td>0.87</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BaggingClassifier</th>\n",
       "      <td>0.85</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.84</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RandomForestClassifier</th>\n",
       "      <td>0.86</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.85</td>\n",
       "      <td>2.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XGBClassifier</th>\n",
       "      <td>0.85</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0.85</td>\n",
       "      <td>3.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DecisionTreeClassifier</th>\n",
       "      <td>0.82</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.82</td>\n",
       "      <td>0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNeighborsClassifier</th>\n",
       "      <td>0.82</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.79</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LGBMClassifier</th>\n",
       "      <td>0.81</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.78</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NuSVC</th>\n",
       "      <td>0.77</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.77</td>\n",
       "      <td>9.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SVC</th>\n",
       "      <td>0.76</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.76</td>\n",
       "      <td>8.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdaBoostClassifier</th>\n",
       "      <td>0.78</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.77</td>\n",
       "      <td>0.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGDClassifier</th>\n",
       "      <td>0.75</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LinearSVC</th>\n",
       "      <td>0.76</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LogisticRegression</th>\n",
       "      <td>0.76</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.76</td>\n",
       "      <td>0.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LinearDiscriminantAnalysis</th>\n",
       "      <td>0.76</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CalibratedClassifierCV</th>\n",
       "      <td>0.76</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.76</td>\n",
       "      <td>4.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RidgeClassifier</th>\n",
       "      <td>0.76</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RidgeClassifierCV</th>\n",
       "      <td>0.76</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perceptron</th>\n",
       "      <td>0.74</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NearestCentroid</th>\n",
       "      <td>0.71</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.73</td>\n",
       "      <td>0.71</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GaussianNB</th>\n",
       "      <td>0.68</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>QuadraticDiscriminantAnalysis</th>\n",
       "      <td>0.68</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BernoulliNB</th>\n",
       "      <td>0.71</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.72</td>\n",
       "      <td>0.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PassiveAggressiveClassifier</th>\n",
       "      <td>0.66</td>\n",
       "      <td>0.62</td>\n",
       "      <td>0.62</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DummyClassifier</th>\n",
       "      <td>0.54</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.54</td>\n",
       "      <td>0.03</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "                               Accuracy  Balanced Accuracy  ROC AUC  F1 Score  \\\n",
       "Model                                                                           \n",
       "ExtraTreesClassifier               0.94               0.93     0.93      0.94   \n",
       "LabelPropagation                   0.88               0.87     0.87      0.88   \n",
       "LabelSpreading                     0.88               0.87     0.87      0.88   \n",
       "ExtraTreeClassifier                0.87               0.85     0.85      0.87   \n",
       "BaggingClassifier                  0.85               0.84     0.84      0.85   \n",
       "RandomForestClassifier             0.86               0.83     0.83      0.85   \n",
       "XGBClassifier                      0.85               0.83     0.83      0.85   \n",
       "DecisionTreeClassifier             0.82               0.80     0.80      0.82   \n",
       "KNeighborsClassifier               0.82               0.79     0.79      0.81   \n",
       "LGBMClassifier                     0.81               0.78     0.78      0.81   \n",
       "NuSVC                              0.77               0.74     0.74      0.77   \n",
       "SVC                                0.76               0.74     0.74      0.76   \n",
       "AdaBoostClassifier                 0.78               0.74     0.74      0.77   \n",
       "SGDClassifier                      0.75               0.74     0.74      0.75   \n",
       "LinearSVC                          0.76               0.73     0.73      0.76   \n",
       "LogisticRegression                 0.76               0.73     0.73      0.76   \n",
       "LinearDiscriminantAnalysis         0.76               0.73     0.73      0.75   \n",
       "CalibratedClassifierCV             0.76               0.73     0.73      0.76   \n",
       "RidgeClassifier                    0.76               0.73     0.73      0.75   \n",
       "RidgeClassifierCV                  0.76               0.73     0.73      0.75   \n",
       "Perceptron                         0.74               0.73     0.73      0.74   \n",
       "NearestCentroid                    0.71               0.73     0.73      0.71   \n",
       "GaussianNB                         0.68               0.72     0.72      0.69   \n",
       "QuadraticDiscriminantAnalysis      0.68               0.72     0.72      0.69   \n",
       "BernoulliNB                        0.71               0.69     0.69      0.72   \n",
       "PassiveAggressiveClassifier        0.66               0.62     0.62      0.66   \n",
       "DummyClassifier                    0.54               0.50     0.50      0.54   \n",
       "\n",
       "                               Time Taken  \n",
       "Model                                      \n",
       "ExtraTreesClassifier                 1.21  \n",
       "LabelPropagation                     8.43  \n",
       "LabelSpreading                      14.01  \n",
       "ExtraTreeClassifier                  0.04  \n",
       "BaggingClassifier                    0.57  \n",
       "RandomForestClassifier               2.07  \n",
       "XGBClassifier                        3.23  \n",
       "DecisionTreeClassifier               0.10  \n",
       "KNeighborsClassifier                 0.79  \n",
       "LGBMClassifier                       0.48  \n",
       "NuSVC                                9.76  \n",
       "SVC                                  8.13  \n",
       "AdaBoostClassifier                   0.80  \n",
       "SGDClassifier                        0.22  \n",
       "LinearSVC                            0.84  \n",
       "LogisticRegression                   0.13  \n",
       "LinearDiscriminantAnalysis           0.24  \n",
       "CalibratedClassifierCV               4.22  \n",
       "RidgeClassifier                      0.21  \n",
       "RidgeClassifierCV                    0.12  \n",
       "Perceptron                           0.04  \n",
       "NearestCentroid                      0.03  \n",
       "GaussianNB                           0.03  \n",
       "QuadraticDiscriminantAnalysis        0.12  \n",
       "BernoulliNB                          0.15  \n",
       "PassiveAggressiveClassifier          0.21  \n",
       "DummyClassifier                      0.03  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>3816</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3817</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3818</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3819</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>3820</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3821 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      AdaBoostClassifier  BaggingClassifier  BernoulliNB  \\\n",
       "0                      0                  0            0   \n",
       "1                      0                  1            0   \n",
       "2                      0                  0            0   \n",
       "3                      1                  1            1   \n",
       "4                      0                  0            0   \n",
       "...                  ...                ...          ...   \n",
       "3816                   1                  0            1   \n",
       "3817                   1                  1            1   \n",
       "3818                   1                  1            1   \n",
       "3819                   1                  1            1   \n",
       "3820                   1                  1            0   \n",
       "\n",
       "      CalibratedClassifierCV  DecisionTreeClassifier  DummyClassifier  \\\n",
       "0                          0                       0                1   \n",
       "1                          0                       0                0   \n",
       "2                          0                       0                0   \n",
       "3                          1                       1                1   \n",
       "4                          0                       0                1   \n",
       "...                      ...                     ...              ...   \n",
       "3816                       1                       1                1   \n",
       "3817                       1                       1                0   \n",
       "3818                       1                       1                0   \n",
       "3819                       1                       1                1   \n",
       "3820                       0                       1                1   \n",
       "\n",
       "      ExtraTreeClassifier  ExtraTreesClassifier  GaussianNB  \\\n",
       "0                       1                     0           0   \n",
       "1                       1                     1           0   \n",
       "2                       0                     0           0   \n",
       "3                       1                     1           1   \n",
       "4                       1                     0           0   \n",
       "...                   ...                   ...         ...   \n",
       "3816                    0                     1           1   \n",
       "3817                    1                     1           0   \n",
       "3818                    1                     1           0   \n",
       "3819                    1                     1           0   \n",
       "3820                    0                     1           0   \n",
       "\n",
       "      KNeighborsClassifier  ...  PassiveAggressiveClassifier  Perceptron  \\\n",
       "0                        1  ...                            1           0   \n",
       "1                        1  ...                            0           0   \n",
       "2                        0  ...                            0           0   \n",
       "3                        1  ...                            1           1   \n",
       "4                        1  ...                            0           0   \n",
       "...                    ...  ...                          ...         ...   \n",
       "3816                     1  ...                            1           0   \n",
       "3817                     1  ...                            0           1   \n",
       "3818                     1  ...                            1           1   \n",
       "3819                     1  ...                            1           1   \n",
       "3820                     1  ...                            1           0   \n",
       "\n",
       "      QuadraticDiscriminantAnalysis  RandomForestClassifier  RidgeClassifier  \\\n",
       "0                                 0                       0                0   \n",
       "1                                 0                       1                0   \n",
       "2                                 0                       0                0   \n",
       "3                                 1                       1                1   \n",
       "4                                 0                       0                0   \n",
       "...                             ...                     ...              ...   \n",
       "3816                              1                       1                1   \n",
       "3817                              0                       1                1   \n",
       "3818                              0                       1                1   \n",
       "3819                              0                       1                1   \n",
       "3820                              0                       1                0   \n",
       "\n",
       "      RidgeClassifierCV  SGDClassifier  SVC  XGBClassifier  LGBMClassifier  \n",
       "0                     0              0    0              0               0  \n",
       "1                     0              0    0              1               1  \n",
       "2                     0              0    0              0               0  \n",
       "3                     1              1    1              1               1  \n",
       "4                     0              0    0              0               0  \n",
       "...                 ...            ...  ...            ...             ...  \n",
       "3816                  1              1    1              1               1  \n",
       "3817                  1              1    1              1               1  \n",
       "3818                  1              1    1              1               1  \n",
       "3819                  1              1    1              1               1  \n",
       "3820                  0              0    0              1               1  \n",
       "\n",
       "[3821 rows x 27 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions"
   ]
  }
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