2-Before sampling--ML and DL algorithm.ipynb

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<td>1000.0</td>\n","      <td>1000.0</td>\n","      <td>1000.0</td>\n","      <td>0.0</td>\n","      <td>2000.0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>90000.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>34</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>14331.0</td>\n","      <td>14948.0</td>\n","      <td>15549.0</td>\n","      <td>1518.0</td>\n","      <td>1500.0</td>\n","      <td>1000.0</td>\n","      <td>1000.0</td>\n","      <td>1000.0</td>\n","      <td>5000.0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>50000.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>37</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      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BILL_AMT3  BILL_AMT4  BILL_AMT5  BILL_AMT6  PAY_AMT1  \\\n","0         -2  ...      689.0        0.0        0.0        0.0       0.0   \n","1          0  ...     2682.0     3272.0     3455.0     3261.0       0.0   \n","2          0  ...    13559.0    14331.0    14948.0    15549.0    1518.0   \n","3          0  ...    49291.0    28314.0    28959.0    29547.0    2000.0   \n","4          0  ...    35835.0    20940.0    19146.0    19131.0    2000.0   \n","...      ...  ...        ...        ...        ...        ...       ...   \n","29960      0  ...   208365.0    88004.0    31237.0    15980.0    8500.0   \n","29961      0  ...     3502.0     8979.0     5190.0        0.0    1837.0   \n","29962      0  ...     2758.0    20878.0    20582.0    19357.0       0.0   \n","29963      0  ...    76304.0    52774.0    11855.0    48944.0   85900.0   \n","29964      0  ...    49764.0    36535.0    32428.0    15313.0    2078.0   \n","\n","       PAY_AMT2  PAY_AMT3  PAY_AMT4  PAY_AMT5  PAY_AMT6  \n","0   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<td>2</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>34</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>13559.0</td>\n","      <td>14331.0</td>\n","      <td>14948.0</td>\n","      <td>15549.0</td>\n","      <td>1518.0</td>\n","      <td>1500.0</td>\n","      <td>1000.0</td>\n","      <td>1000.0</td>\n","      <td>1000.0</td>\n","      <td>5000.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>50000.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>37</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>49291.0</td>\n","      <td>28314.0</td>\n","      <td>28959.0</td>\n","      <td>29547.0</td>\n","      <td>2000.0</td>\n","      <td>2019.0</td>\n","      <td>1200.0</td>\n","      <td>1100.0</td>\n","      <td>1069.0</td>\n","    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BILL_AMT3  BILL_AMT4  BILL_AMT5  BILL_AMT6  PAY_AMT1  \\\n","10693      0  ...     1764.0     9558.0    59865.0    55717.0    2008.0   \n","4497      -1  ...     1876.0      396.0    11256.0      546.0   10063.0   \n","1464       0  ...    23270.0    27372.0    31905.0    34954.0    5000.0   \n","6418       0  ...   124871.0   118193.0   121283.0   124109.0    6300.0   \n","3026       0  ...    64469.0    54020.0    55852.0    44286.0    3000.0   \n","...      ...  ...        ...        ...        ...        ...       ...   \n","27282      0  ...     7266.0    11282.0     3303.0     2350.0    1102.0   \n","578        0  ...     6615.0     7131.0     6987.0     6980.0    1300.0   \n","5848      -1  ...    10373.0     2669.0     1024.0   170722.0   22182.0   \n","2439      -2  ...    73233.0    72328.0    74234.0    75500.0    3509.0   \n","23572      0  ...    23017.0    22349.0    22791.0    23331.0    1700.0   \n","\n","       PAY_AMT2  PAY_AMT3  PAY_AMT4  PAY_AMT5  PAY_AMT6  \n","10693    1764.0    9000.0   55000.0    4000.0    4000.0  \n","4497     1876.0     396.0   11256.0     546.0     396.0  \n","1464     5000.0    5000.0    5000.0    3600.0    2000.0  \n","6418     6000.0    5000.0    5000.0    5000.0    5000.0  \n","3026     2500.0    2000.0    3000.0    2000.0    1500.0  \n","...         ...       ...       ...       ...       ...  \n","27282    2100.0    1000.0     132.0      47.0       0.0  \n","578      1100.0    1000.0     500.0     500.0    1000.0  \n","5848        7.0       0.0    6177.0  180722.0    5000.0  \n","2439     5824.0       0.0    2204.0    2000.0       0.0  \n","23572    1280.0       0.0     814.0     905.0   30331.0  \n","\n","[17979 rows x 23 columns]"],"text/html":["\n","  <div id=\"df-22842929-c448-4abd-971b-7af333ad0fc1\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        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<td>27</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>-1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>1764.0</td>\n","      <td>9558.0</td>\n","      <td>59865.0</td>\n","      <td>55717.0</td>\n","      <td>2008.0</td>\n","      <td>1764.0</td>\n","      <td>9000.0</td>\n","      <td>55000.0</td>\n","      <td>4000.0</td>\n","      <td>4000.0</td>\n","    </tr>\n","    <tr>\n","      <th>4497</th>\n","      <td>320000.0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>31</td>\n","      <td>-1</td>\n","      <td>-1</td>\n","      <td>-1</td>\n","      <td>-1</td>\n","      <td>-1</td>\n","      <td>...</td>\n","      <td>1876.0</td>\n","      <td>396.0</td>\n","      <td>11256.0</td>\n","      <td>546.0</td>\n","      <td>10063.0</td>\n","      <td>1876.0</td>\n","      <td>396.0</td>\n","      <td>11256.0</td>\n","      <td>546.0</td>\n","      <td>396.0</td>\n","    </tr>\n","    <tr>\n","      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<td>5000.0</td>\n","      <td>5000.0</td>\n","      <td>5000.0</td>\n","      <td>5000.0</td>\n","    </tr>\n","    <tr>\n","      <th>3026</th>\n","      <td>80000.0</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>32</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>64469.0</td>\n","      <td>54020.0</td>\n","      <td>55852.0</td>\n","      <td>44286.0</td>\n","      <td>3000.0</td>\n","      <td>2500.0</td>\n","      <td>2000.0</td>\n","      <td>3000.0</td>\n","      <td>2000.0</td>\n","      <td>1500.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      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BILL_AMT3  BILL_AMT4  BILL_AMT5  BILL_AMT6  PAY_AMT1  \\\n","13205     -1  ...     2756.0     3560.0     6661.0     3877.0    2290.0   \n","5164      -2  ...      176.0        0.0        0.0        0.0       0.0   \n","29258     -1  ...   206670.0    31546.0   141189.0   138880.0   40000.0   \n","24388     -1  ...      390.0        0.0      780.0        0.0     390.0   \n","6571       2  ...    14337.0    15596.0    15204.0    17149.0    2000.0   \n","...      ...  ...        ...        ...        ...        ...       ...   \n","21839     -1  ...        0.0     1008.0        0.0        0.0       0.0   \n","9042      -2  ...        0.0        0.0        0.0        0.0       0.0   \n","11633      0  ...    58577.0    60169.0    58426.0    58204.0    3000.0   \n","24609     -1  ...     2429.0     2202.0      598.0     1801.0     995.0   \n","19055      0  ...    47722.0    32920.0    28471.0    28834.0    2000.0   \n","\n","       PAY_AMT2  PAY_AMT3  PAY_AMT4  PAY_AMT5  PAY_AMT6  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<td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>12198</th>\n","      <td>240000.0</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>30</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>-2</td>\n","      <td>-2</td>\n","      <td>-2</td>\n","      <td>...</td>\n","      <td>-1868.0</td>\n","      <td>-1868.0</td>\n","      <td>-1868.0</td>\n","      <td>-1868.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>10252</th>\n","      <td>100000.0</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>25</td>\n","      <td>-1</td>\n","      <td>-1</td>\n","      <td>-1</td>\n","      <td>-1</td>\n","      <td>-1</td>\n","      <td>...</td>\n","      <td>586.0</td>\n","    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<td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>10000.0</td>\n","      <td>17916.0</td>\n","      <td>6789.0</td>\n","      <td>150.0</td>\n","      <td>3005.0</td>\n","      <td>2700.0</td>\n","      <td>7916.0</td>\n","      <td>0.0</td>\n","      <td>150.0</td>\n","      <td>198.0</td>\n","    </tr>\n","    <tr>\n","      <th>6360</th>\n","      <td>120000.0</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>27</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>10861.0</td>\n","      <td>10055.0</td>\n","      <td>11040.0</td>\n","      <td>10466.0</td>\n","      <td>1200.0</td>\n","      <td>1500.0</td>\n","      <td>0.0</td>\n","      <td>1100.0</td>\n","      <td>550.0</td>\n","      <td>600.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5993 rows × 23 columns</p>\n","</div>\n","    <div 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crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"SxrAZnggxGuT","executionInfo":{"status":"ok","timestamp":1693151074202,"user_tz":-330,"elapsed":2224,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"7b1fcba9-4533-471e-f400-e77a5e135e07"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 90 candidates, totalling 180 fits\n","{'criterion': 'entropy', 'max_features': 'auto', 'min_samples_leaf': 5, 'splitter': 'random'}\n","credit card-score:  0.797\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MA= crdcd_fddssn(criterion= 'entropy', max_features= 'auto', min_samples_leaf=5 ,splitter='random' )\n","crdcd_fd_MA.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jgOwKjWzzmrY","executionInfo":{"status":"ok","timestamp":1693151100788,"user_tz":-330,"elapsed":15,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"81908961-0c9e-4bc9-f037-8fbbaaf8dcc4"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 0.016011953353881836\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MA.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"STzwfczcqfYx","executionInfo":{"status":"ok","timestamp":1693151103662,"user_tz":-330,"elapsed":570,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"8a2c64db-7a8c-467a-c7cc-7310249c1c76"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.85      0.89      0.87      4636\n","           1       0.54      0.44      0.49      1357\n","\n","    accuracy                           0.79      5993\n","   macro avg       0.69      0.67      0.68      5993\n","weighted avg       0.78      0.79      0.78      5993\n","\n","Duration for validation: 0.0195162296295166\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MA.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"-Ua6Mcnfzp6Y","executionInfo":{"status":"ok","timestamp":1693151107969,"user_tz":-330,"elapsed":496,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"35e79887-663a-4542-df05-ddf7a485db0a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.85      0.89      0.87      4683\n","           1       0.53      0.44      0.48      1310\n","\n","    accuracy                           0.79      5993\n","   macro avg       0.69      0.66      0.67      5993\n","weighted avg       0.78      0.79      0.78      5993\n","\n","Duration for test: 0.012605667114257812\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["#### Adaboost classifier"],"metadata":{"id":"u7EFvfYE2DPo"}},{"cell_type":"code","source":["from sklearn.ensemble import AdaBoostClassifier as crdcd_fdadbst\n","\n","crd_par = { 'algorithm':['SAMME','SAMME.R'],\n","              'estimator': ['object',None],\n","               'n_estimators': [50,60,70,80,90],\n","            'learning_rate':[2.0,3.0,4.0,5.0,6.0]}\n","\n","\n","crd_par_bs = crdcd_fdadbst(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(1000, random_state=33), crdcd_fd_o_Ynt.sample(1000, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yjGVVmb02Pzk","executionInfo":{"status":"ok","timestamp":1693151140094,"user_tz":-330,"elapsed":19996,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"49001e70-817e-4358-8acf-2f88b0c4b63e"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 100 candidates, totalling 200 fits\n","{'algorithm': 'SAMME', 'estimator': None, 'learning_rate': 3.0, 'n_estimators': 50}\n","credit card-score:  0.797\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MB= crdcd_fdadbst(algorithm= 'SAMME', estimator= None, learning_rate=3.0 ,n_estimators=50 )\n","crdcd_fd_MB.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yfkj7qsj3AL5","executionInfo":{"status":"ok","timestamp":1693151147574,"user_tz":-330,"elapsed":1620,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"a8c1bbb0-8132-42e1-cd80-a86b32bf7a68"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 1.382821798324585\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MB.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"_sxF2mZ-q9rW","executionInfo":{"status":"ok","timestamp":1693151169847,"user_tz":-330,"elapsed":20,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"9fd168c7-58aa-42f6-fb3b-6d1618709f3c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.83      0.96      0.89      4636\n","           1       0.69      0.31      0.43      1357\n","\n","    accuracy                           0.81      5993\n","   macro avg       0.76      0.64      0.66      5993\n","weighted avg       0.80      0.81      0.78      5993\n","\n","Duration for validation: 0.027694225311279297\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MB.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"YVCwuMzw3avo","executionInfo":{"status":"ok","timestamp":1693151178024,"user_tz":-330,"elapsed":699,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"31482cb3-1dce-44bb-f3a1-d62d24fa60a6"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.84      0.96      0.89      4683\n","           1       0.67      0.33      0.44      1310\n","\n","    accuracy                           0.82      5993\n","   macro avg       0.75      0.64      0.67      5993\n","weighted avg       0.80      0.82      0.79      5993\n","\n","Duration for test: 0.02960062026977539\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["#### XGBoost"],"metadata":{"id":"apLku5qH3k0K"}},{"cell_type":"code","source":["from xgboost import XGBClassifier as crdcd_fdxggb\n","\n","crd_par = { 'n_estimators': [10,20,30,40,50],\n","               'learning_rate': [0.1,0.2,0.3,0.4,0.5],\n","            'subsample':[0.2,0.3,0.4,0.5,0.6]}\n","\n","\n","crd_par_bs = crdcd_fdxggb(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(1000, random_state=33), crdcd_fd_o_Ynt.sample(1000, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HOttPa3k4A9W","executionInfo":{"status":"ok","timestamp":1693151208768,"user_tz":-330,"elapsed":25918,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"1ad21559-9bd2-4eb2-fa1a-7c99d8ac9c08"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 125 candidates, totalling 250 fits\n","{'learning_rate': 0.1, 'n_estimators': 50, 'subsample': 0.4}\n","credit card-score:  0.812\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MC= crdcd_fdxggb(learning_rate= 0.1, n_estimators= 50, subsample=0.4 )\n","crdcd_fd_MC.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ha9zd-d742M3","executionInfo":{"status":"ok","timestamp":1693151217787,"user_tz":-330,"elapsed":3524,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"9f1c75cf-205b-4c55-90a3-38973ab07ccf"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 3.0512285232543945\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MC.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"RsUqfzeIrOAu","executionInfo":{"status":"ok","timestamp":1693151221716,"user_tz":-330,"elapsed":774,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"bb2d67a5-d223-44bb-a227-845dd03a65e9"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.83      0.95      0.89      4636\n","           1       0.68      0.35      0.46      1357\n","\n","    accuracy                           0.82      5993\n","   macro avg       0.76      0.65      0.68      5993\n","weighted avg       0.80      0.82      0.79      5993\n","\n","Duration for validation: 0.02577519416809082\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MC.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"3PijfkLW5Rrd","executionInfo":{"status":"ok","timestamp":1693151229492,"user_tz":-330,"elapsed":522,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"af931269-f694-4b31-e7cc-a8cfe3477420"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.84      0.95      0.89      4683\n","           1       0.67      0.37      0.47      1310\n","\n","    accuracy                           0.82      5993\n","   macro avg       0.76      0.66      0.68      5993\n","weighted avg       0.80      0.82      0.80      5993\n","\n","Duration for test: 0.026827096939086914\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["#### SVM"],"metadata":{"id":"94zS3uRy5bLo"}},{"cell_type":"code","source":["from sklearn.svm import SVC as crdcd_fdsvv\n","\n","crd_par = { 'kernel':['linear','poly','sigmoid','rbf'],\n","              'gamma': ['scale','auto'],\n","               'tol': [1e-3,1e-4,1e-5,1e-6,1e-7],\n","            'C':[4.0,5.0,6.0,7.0,8.0]}\n","\n","\n","crd_par_bs = crdcd_fdsvv(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(20, random_state=33), crdcd_fd_o_Ynt.sample(20, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oGtRjI6D5fc5","executionInfo":{"status":"ok","timestamp":1693151506604,"user_tz":-330,"elapsed":1760,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"1ff83cd3-8371-452b-bb0b-984b101ca2ae"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 200 candidates, totalling 400 fits\n","{'C': 4.0, 'gamma': 'scale', 'kernel': 'poly', 'tol': 0.001}\n","credit card-score:  0.9\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MD= crdcd_fdsvv(C= 4.0, gamma= 'scale', kernel='poly', tol=0.001 )\n","crdcd_fd_MD.fit(crdcd_fd_i_Xnt.sample(1000, random_state=33), crdcd_fd_o_Ynt.sample(1000, random_state=33))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7O9JfvUz6Zci","executionInfo":{"status":"ok","timestamp":1693151521661,"user_tz":-330,"elapsed":666,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"b5a47ca6-58a4-45b8-d6d1-48c77c252992"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 0.7861945629119873\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MD.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"KT-V6PnlrZvJ","executionInfo":{"status":"ok","timestamp":1693151526371,"user_tz":-330,"elapsed":596,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"7b4b0075-f5eb-47b9-d8d9-a270bda330ff"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.77      1.00      0.87      4636\n","           1       0.28      0.01      0.01      1357\n","\n","    accuracy                           0.77      5993\n","   macro avg       0.53      0.50      0.44      5993\n","weighted avg       0.66      0.77      0.68      5993\n","\n","Duration for validation: 0.08761334419250488\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MD.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"FB0QN5ty6dYx","executionInfo":{"status":"ok","timestamp":1693151531238,"user_tz":-330,"elapsed":36,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"683c957d-3c99-42d2-b0cf-c954f1f81e5c"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.78      1.00      0.88      4683\n","           1       0.28      0.01      0.01      1310\n","\n","    accuracy                           0.78      5993\n","   macro avg       0.53      0.50      0.44      5993\n","weighted avg       0.67      0.78      0.69      5993\n","\n","Duration for test: 0.09539008140563965\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["### DL algorithm-credit card fraud detection"],"metadata":{"id":"XfVJnod06pZe"}},{"cell_type":"markdown","source":["#### MLP"],"metadata":{"id":"rwPwUP096z_b"}},{"cell_type":"code","source":["from sklearn.neural_network import MLPClassifier as crdcd_fdmmllp\n","\n","crd_par = {'activation':['identity','tanh','relu','logistic'],\n","              'solver': ['adam','lbfgs'],\n","               'learning_rate': ['constant','invscaling','adaptive'],\n","            'hidden_layer_sizes':[(100,), (150,), (200,),(300,)],\n","           'alpha':[0.1, 0.001, 0.01]}\n","\n","\n","crd_par_bs = crdcd_fdmmllp(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(10, random_state=33), crdcd_fd_o_Ynt.sample(10, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"sV5YAOdS619T","executionInfo":{"status":"ok","timestamp":1693999317956,"user_tz":-330,"elapsed":51121,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"66b93801-5247-45e6-f1f7-eef7085c0436"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 288 candidates, totalling 576 fits\n","{'activation': 'identity', 'alpha': 0.1, 'hidden_layer_sizes': (100,), 'learning_rate': 'constant', 'solver': 'adam'}\n","credit card-score:  1.0\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_ME= crdcd_fdmmllp(activation= 'identity', learning_rate= 'constant',solver='adam',hidden_layer_sizes=(100,),alpha=0.1 )\n","crdcd_fd_ME.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bxW6eWuO7wO5","executionInfo":{"status":"ok","timestamp":1693999357820,"user_tz":-330,"elapsed":7453,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"d898359a-1aac-411d-cbbe-d50d2170ef60"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 7.117099761962891\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_ME.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"JjijY51SrqDA","executionInfo":{"status":"ok","timestamp":1693999368261,"user_tz":-330,"elapsed":487,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"b2199e44-5ef6-412b-fcd1-431d91c6c770"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.78      0.99      0.87      4636\n","           1       0.62      0.03      0.06      1357\n","\n","    accuracy                           0.78      5993\n","   macro avg       0.70      0.51      0.46      5993\n","weighted avg       0.74      0.78      0.69      5993\n","\n","Duration for validation: 0.0381464958190918\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_ME.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"866s0vwu7wQa","executionInfo":{"status":"ok","timestamp":1693999370548,"user_tz":-330,"elapsed":549,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"8b7d789c-9f34-4f03-fecd-0885f4f8fdf8"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.78      1.00      0.88      4683\n","           1       0.60      0.02      0.04      1310\n","\n","    accuracy                           0.78      5993\n","   macro avg       0.69      0.51      0.46      5993\n","weighted avg       0.75      0.78      0.70      5993\n","\n","Duration for test: 0.03624272346496582\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["*** Adaboost and XGBoost has highest accuracy (82%)"],"metadata":{"id":"7Dogn1soRrUn"}}]}