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Now train an SVC classifier on the training set.
Import SVC from sklearn:
from sklearn.svm import <<your code goes here >>
Create an instance of the SVC classifier named svm_clf and fit the training data:
<< your code goes here >> = SVC(gamma="auto", random_state=42) << your code goes here >>.fit(X_train, y_train)
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