osanseviero/tipsuhtxfu-sex-classification

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