The following statements may or may not be correct. For each statement, if it is

Question

The following statements may or may not be correct. For each statement, if it is correct, provide a short justification for the correctness. If it is incorrect, provide a counter-example to show that it is incorrect. For every data set, if there is a decision tree classifier with zero error, then there is also a linear classifier with zero error. If the training data is linearly separable, then the true data distribution is also linearly separable. If the true data distribution is linearly separable, then the training data is also linearly separable. If the training data is linearly separable, and if we run voted perceptron on the training set once, then, the training error of the resulting classifier is always zero.

Explanation / Answer

I can do this but actually there are too many problems !! So I think this question surely need more than 3000 points and btw your response rate is low that's why waiting for your response!!

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