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Passive Aggressive Classifier

Passive Aggressive Classifier is a family of algorithms for large-scale learning. It is similar to the Perceptron in that they do not require a learning rate but contrary to the Perceptron in that they include a regularization parameter.

Advantages:​

  • It is suitable for large-scale learning

Disadvantages:​

  • It has the problem of learning many simple functions