.

app.py

@@ -10,6 +10,7 @@ healthcare_stroke_data['gender'] = encoder.fit_transform(healthcare_stroke_data[
 encoder= ce.OrdinalEncoder(cols=['work_type'],return_df=True, mapping=[{'col':'work_type', 'mapping':{0: 1, 1: 2, 'children': 3, '2': 4, 'Never_worked': 5}}])
 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)
             
 model = gr.inputs.Dropdown(list(compare_model_results[adaclassifier3]),label="Model")