Update app.py

app.py

@@ -66,7 +66,7 @@ def load_and_predict(sample: pd.DataFrame) -> pd.DataFrame:
             results.append({
                 'Model': name,
                 'Predicted Salary': salary_pred,
-                'R2 Score (%)': r2_score(y_train, ) * 100,
+                'R2 Score (%)': r2_score(y_train, y_train_pred) * 100,
                 'Mean Absolute Error': mean_absolute_error(y_train, y_train_pred),
                 'Mean Squared Error': mean_squared_error(y_train, y_train_pred),
             })