5d81bc9e8e19ab31f3e85f88207538e9f478d7d6,tests/test_regressor/test_residuals.py,TestPredictionError,test_prediction_error_pandas,#TestPredictionError#,104

Before Change

        _, ax = plt.subplots()

        // Load the occupancy dataset from fixtures
        data = self.load_data("energy")
        target = "cooling_load"
        features = [
            "relative_compactness", "surface_area", "wall_area", "roof_area",
            "overall_height", "orientation", "glazing_area",
            "glazing_area_distribution"
        ]

        // Create instances and target
        X = pd.DataFrame(data[features])
        y = pd.Series(data[target].astype(float))

        // Create train/test splits
        splits = tts(X, y, test_size=0.2, random_state=8873)
        X_train, X_test, y_train, y_test = splits

After Change

        _, ax = plt.subplots()

        // Load the occupancy dataset from fixtures
        data = load_energy(return_dataset=True)
        X, y = data.to_pandas()

        // Create train/test splits
        splits = tts(X, y, test_size=0.2, random_state=8873)
        X_train, X_test, y_train, y_test = splits

Instances