161a91e9a65de139b1b3e54ff680b53a74610a48,tests/test_classifier/test_rocauc.py,ROCAUCTests,test_rocauc_no_classes,#ROCAUCTests#,262

Before Change

        Test ROCAUC without per-class curves
        
        // Load the Data
        X_train, X_test, y_train, y_test = self.load_binary_data()

        // Create and fit the visualizer
        visualizer = ROCAUC(LogisticRegression(), per_class=False)
        visualizer.fit(X_train, y_train)

After Change

        visualizer.poof()
        self.assert_images_similar(visualizer, tol=TOL)

    def test_rocauc_no_classes(self):
        
        Test ROCAUC without per-class curves
        
        // Create and fit the visualizer
        visualizer = ROCAUC(LogisticRegression(), per_class=False)
        visualizer.fit(self.binary.X.train, self.binary.y.train)

        // Score the visualizer (should be the micro average)
        s = visualizer.score(self.binary.X.test, self.binary.y.test)
        self.assertAlmostEqual(s, 0.8)

        // Assert that there still are per-class scores
        for c in (0, 1):

Instances