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Baseline Model trained on tips to predict sex

Metrics of the best model:

accuracy 0.647364

average_precision 0.481257

roc_auc 0.608805

recall_macro 0.588751

f1_macro 0.588435

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 True ... False False False[6 rows x 7 columns])),('pipeline',Pipeline(steps=[('minmaxscaler', MinMaxScaler()),('multinomialnb', MultinomialNB())]))])

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