--- license: apache-2.0 library_name: sklearn tags: - tabular-classification - baseline-trainer --- ## Baseline Model trained on diabetespmxrsn1x to apply classification on diabetes **Metrics of the best model:** accuracy 0.871795 average_precision 0.518856 roc_auc 0.883333 recall_macro 0.883333 f1_macro 0.801996 Name: DecisionTreeClassifier(class_weight='balanced', max_depth=1), dtype: float64 **See model plot below:** 
Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types=                 continuous  dirty_float  ...  free_string  useless
cholesterol            True        False  ...        False    False
glucose                True        False  ...        False    False
hdl_chol               True        False  ...        False    False
chol_hdl_ratio        False        False  ...         True    False
age                    True        False  ...        False    False
gender                False        False  ...        False    False
height                False        False  ...        False    False
weight                 True        False  ...        False    False
bmi                   False        False  ...         True    False
systolic_bp            True        False  ...        False    False
diastolic_bp           True        False  ...        False    False
waist                 False        False  ...        False    False
hip                   False        False  ...        False    False
waist_hip_ratio       False        False  ...        False    False[14 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