870022ab7abce46f9bff47c8a9c787808a630e59,tests/test_classifier/test_confusion_matrix.py,ConfusionMatrixTests,test_score_returns_score,#ConfusionMatrixTests#,337

Before Change

        Test that ConfusionMatrix score() returns a score between 0 and 1
        
        data = self.load_data("occupancy")
        X = data[[
            "temperature", "relative_humidity", "light", "C02", "humidity"
        ]]

        y = data["occupancy"]

        // Convert X to an ndarray
        X = X.copy().view((float, len(X.dtype.names)))

        X_train, X_test, y_train, y_test = tts(X, y, test_size=0.2, random_state=42)
        // Create and fit the visualizer
        visualizer = ConfusionMatrix(LogisticRegression())

After Change

        Test that ConfusionMatrix score() returns a score between 0 and 1
        
        // Load the occupancy dataset from fixtures
        X, y = load_occupancy(return_dataset=True).to_numpy()
        X_train, X_test, y_train, y_test = tts(X, y, test_size=0.2, random_state=42)

        // Create and fit the visualizer
        visualizer = ConfusionMatrix(LogisticRegression())

Instances