Baseline Model trained on train5a1e8w7 to apply classification on label
Metrics of the best model:
accuracy 0.693101
recall_macro 0.665973
precision_macro 0.657625
f1_macro 0.656998
Name: LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000), dtype: float64
See model plot below:
Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types= continuous dirty_float low_card_int ... date free_string useless
v_21 False False False ... False False False
v_32 True False False ... False False False
v_15 False False False ... False False False
v_4 True False False ... False False False
v_1 False False False ... False False False
v_8 False False False ... False False False
v_12 False False Fa...
v_34 False False False ... False False False
v_35 True False False ... False False False
v_36 True False False ... False False False
v_37 True False False ... False False False
v_38 True False False ... False False False
v_39 True False False ... False False False
v_40 False False False ... False False False[40 rows x 7 columns])),('logisticregression',LogisticRegression(C=0.1, class_weight='balanced',max_iter=1000))])
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Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types= continuous dirty_float low_card_int ... date free_string useless
v_21 False False False ... False False False
v_32 True False False ... False False False
v_15 False False False ... False False False
v_4 True False False ... False False False
v_1 False False False ... False False False
v_8 False False False ... False False False
v_12 False False Fa...
v_34 False False False ... False False False
v_35 True False False ... False False False
v_36 True False False ... False False False
v_37 True False False ... False False False
v_38 True False False ... False False False
v_39 True False False ... False False False
v_40 False False False ... False False False[40 rows x 7 columns])),('logisticregression',LogisticRegression(C=0.1, class_weight='balanced',max_iter=1000))])EasyPreprocessor(types= continuous dirty_float low_card_int ... date free_string useless v_21 False False False ... False False False v_32 True False False ... False False False v_15 False False False ... False False False v_4 True False False ... False False False v_1 False False False ... False False False v_8 False False False ... False False False v_12 False False False ... False False False v_25 True False Fa... v_7 True False False ... False False False v_2 True False False ... False False False v_16 True False False ... False False False v_34 False False False ... False False False v_35 True False False ... False False False v_36 True False False ... False False False v_37 True False False ... False False False v_38 True False False ... False False False v_39 True False False ... False False False v_40 False False False ... False False False[40 rows x 7 columns])
LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000)
Disclaimer: This model is trained with dabl library as a baseline, for better results, use AutoTrain.
Logs of training including the models tried in the process can be found in logs.txt