Question: If we again use the linear perceptron algorithm to train the classifier, what will happen? Note: In the choices below , converge means given

If we again use the linear perceptron algorithm to train the classifier, what will happen?
Note: In the choices below ,converge" means given a certain input, the algorithm will terminate with a fixed output within finite steps (assume is very large: the output of the algorithm will not change as we increase ). Otherwise we say the algorithm diverges (even for an extremely large , the output of the algorithm will change as we increase further).

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