870022ab7abce46f9bff47c8a9c787808a630e59,tests/test_classifier/test_confusion_matrix.py,ConfusionMatrixTests,test_pandas_integration,#ConfusionMatrixTests#,273

Before Change

        _, ax = plt.subplots()

        // Load the occupancy dataset from fixtures
        data = self.load_data("occupancy")
        target = "occupancy"
        features = [
            "temperature", "relative_humidity", "light", "C02", "humidity"
        ]

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

        // 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
        X, y = load_occupancy(return_dataset=True).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