--- license: apache-2.0 library_name: sklearn tags: - tabular-classification - baseline-trainer --- ## 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](https://huggingface.co/autotrain). **Logs of training** including the models tried in the process can be found in logs.txt