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Baseline Model trained on UCI_Credit_Cardyi6q1ptm to apply classification on PAY_0

Metrics of the best model:

accuracy 0.715467

recall_macro 0.777916

precision_macro 0.578960

f1_macro 0.596625

Name: DecisionTreeClassifier(class_weight='balanced', min_impurity_decrease=0.01), dtype: float64

See model plot below:

Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types=                            continuous  dirty_float  ...  free_string  useless

LIMIT_BAL False False ... False False SEX False False ... False False EDUCATION False False ... False False MARRIAGE False False ... False False AGE False False ... False False PAY_2 False False ... False False PAY_3 False False ... False False PAY_4 False False ... False False PAY_5 False False ...... PAY_AMT1 True False ... False False PAY_AMT2 True False ... False False PAY_AMT3 True False ... False False PAY_AMT4 True False ... False False PAY_AMT5 True False ... False False PAY_AMT6 True False ... False False default.payment.next.month False False ... False False[23 rows x 7 columns])),('decisiontreeclassifier',DecisionTreeClassifier(class_weight='balanced',min_impurity_decrease=0.01))])

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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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