Question: When fitting a SVM with a polynomial kernel of degree 5 with 2 7 8 support vectors, what is the maximum number of dot -

When fitting a SVM with a polynomial kernel of degree 5 with 278 support vectors, what is the maximum number of dot-product operations that will be needed for classifying a new out-of-sample data point, assuming a 3149 x 70 training data matrix?

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