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Baseline Model trained on pruned_datavq__ydnj to apply classification on is_phishing

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=1), dtype: float64

See model plot below:

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

id True False False ... False False False bad_domain False False False ... False True False safe_domain False False False ... False False False[3 rows x 7 columns])),('decisiontreeclassifier',DecisionTreeClassifier(class_weight='balanced', max_depth=1))])

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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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