from sklearn.linear_model import RidgeClassifier
clf = RidgeClassifier().fit(X, y)
clf.fit(X, y) #We can fit Ridge Classifier to the dataset in this way too
clf.score(X, y) #Return the mean accuracy on the given test data and labels
cfl.predict(X) #Return the predictions

#Classification Metrics
#Accuracy Score
from sklearn.metrics import accuracy_score
accuracy_score(X, y)

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