.

app.py

@@ -11,7 +11,8 @@ encoder= ce.OrdinalEncoder(cols=['work_type'],return_df=True, mapping=[{'col':'w
 healthcare_stroke_data['work_type'] = encoder.fit_transform(healthcare_stroke_data['work_type'])
 
 exp_clf101 = setup(data = healthcare_stroke_data, target = 'stroke', session_id=123)
-adaclassifier3= create_model('ada',fold = 10)
+best = compare_models(sort = 'AUC', n_select = 15)
+compare_model_results = pull()
             
 model = gr.inputs.Dropdown(adaclassifier3,label="Model")
 gender = gr.inputs.Dropdown(choices=["Male", "Female"],label = 'gender')