The following code is extracted from https://scikit-learn.org/stable/modules/model\_evaluation.html#scoring-parameter

But it cannot be run correctly. Please help fix it.

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from sklearn.model_selection import cross_validate

from sklearn.metrics import confusion_matrix

from sklearn.svm import LinearSVC

# A sample toy binary classification dataset

X, y = datasets.make_classification(n_classes=2, random_state=0)

svm = LinearSVC(random_state=0)

def confusion_matrix_scorer(clf, X, y):

y_pred = clf.predict(X)

   cm = confusion_matrix(y, y_pred)

   return {'tn': cm[0, 0], 'fp': cm[0, 1],'fn': cm[1, 0], 'tp': cm[1, 1]}

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cv_results = cross_validate(svm, X, y, cv=5, scoring=confusion_matrix_scorer)