--- license: apache-2.0 library_name: sklearn tags: - tabular-classification - baseline-trainer --- ## 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.
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))])
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(class_weight='balanced', max_depth=5)