kkiskk/alidatelcyrtea0-auditStatus-classification

Baseline Model trained on alidatelcyrtea0 to apply classification on auditStatus

Metrics of the best model:

accuracy 1.0

average_precision 1.0

roc_auc 1.0

recall_macro 1.0

f1_macro 1.0

Name: DecisionTreeClassifier(class_weight='balanced', max_depth=5), dtype: float64

See model plot below:

Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types=             continuous  dirty_float  low_card_int  ...   date  free_string  useless
DrawMoney         False        False         False  ...  False        False    False
DrawCount         False        False         False  ...  False        False    False
LastDrawMin        True        False         False  ...  False        False    False
SignUpMin          True        False         False  ...  False        False    False
Balance            True        False         False  ...  False        False    False
TodayMoney        False        False         False  ...  False        False    False[6 rows x 7 columns])),('decisiontreeclassifier',DecisionTreeClassifier(class_weight='balanced', max_depth=5))])

In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

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