Update app.py

app.py

@@ -124,8 +124,7 @@ if uploaded_file is not None:
                     model.fit(X_train, y_train)
                     y_pred = model.predict(X_test)
                     mse = mean_squared_error(y_test, y_pred)
-                    accuracy = accuracy_score(y_test, y_pred)
-                    results.append([name, accuracy, mse])
+                    results.append([name, None, mse])
             
             # Display results in a table
             st.subheader("Model Performance Results")