Update app.py

app.py

@@ -260,9 +260,9 @@ elif app_mode == "ML Flow & Feature Importance":
         except mlflow.exceptions.MlflowException:
             return
 
-    train_model("Best_Model", "dt", X_train, X_test, y_train, y_test)
-    train_model("Best_Model", "lg", X_train, X_test, y_train, y_test)
-    train_model("Best_Model", "knn", X_train, X_test, y_train, y_test)
+    # train_model("Best_Model", "dt", X_train, X_test, y_train, y_test)
+    # train_model("Best_Model", "lg", X_train, X_test, y_train, y_test)
+    # train_model("Best_Model", "knn", X_train, X_test, y_train, y_test)
     tab1.image("ml_data.png", use_column_width=True)
 
     tab2.subheader("Feature Importance")