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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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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

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