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Baseline Model trained on tipsuhtxfu to apply classification on sex

Metrics of the best model:

accuracy 0.647364

average_precision 0.507660

roc_auc 0.625546

recall_macro 0.589832

f1_macro 0.585292

Name: MultinomialNB(), dtype: float64

See model plot below:

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

total_bill True False False ... False False False tip True False False ... False False False smoker False False False ... False False False day False False False ... False False False time False False False ... False False False size False False False ... False False False[6 rows x 7 columns])),('pipeline',Pipeline(steps=[('minmaxscaler', MinMaxScaler()),('multinomialnb', MultinomialNB())]))])

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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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