merve/diabetese5nnapz2-Outcome-classification

Baseline Model trained on diabetese5nnapz2 to apply classification on Outcome

Metrics of the best model:

accuracy 0.730498

average_precision 0.654082

roc_auc 0.795043

recall_macro 0.735834

f1_macro 0.718533

Name: DecisionTreeClassifier(class_weight='balanced', max_depth=5), dtype: float64

See model plot below:

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

Pregnancies False False ... False False Glucose True False ... False False BloodPressure True False ... False False SkinThickness True False ... False False Insulin True False ... False False BMI True False ... False False DiabetesPedigreeFunction True False ... False False Age True False ... False False[8 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.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

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