.

app.py

@@ -1,4 +1,9 @@
 import gradio as gr
+import pycaret
+from pycaret.classification import *
+
+
+modelvalue= setup(data = 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()