.

app.py

@@ -5,7 +5,7 @@ import pandas as pd
 import category_encoders as ce
 healthcare_stroke_data = pd.read_csv("healthcare-dataset-stroke-data.csv")
 
-s = setup(healthcare_stroke_data, target = 'stroke', fix_imbalance = True, session_id = 123) 
+s = setup(healthcare_stroke_data, target = 'stroke', normalize = True, normalize_method = 'zscore', transformation=True, fix_imbalance = True, session_id=123, fold = 60, remove_outliers= True, outliers_threshold = 0.05, remove_multicollinearity=True, multicollinearity_threshold = 0.9) 
 
 best = compare_models(sort = 'AUC', n_select = 15)
 compare_model_results = pull()