What does clf mean in machine learning?

Question

When doing fitting, I always come across code like

clf = svm.SVC(kernel='linear', C=1).fit(X_train, y_train)

(from http://scikit-learn.org/stable/modules/cross_validation.html#k-fold)

What does clf stands for? I googled around but didn't find any clues.

Answer 1

In terms of machine learning, Clf is an estimator instance, which is used to store model.

We use clf to store trained model values, which are further used to predict value, based on the previously stored weights.

You can check out this tutorial for more information.

To learn more about Machine learning, you can join Intellipaat's Machine learning course.

I hope this answer helps.