Linear Svm Comparison. If n is small 110 00 and m is intermediate 1010000. In the linear classifier model the.
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WEKA linear SVR Compare to Linear Regression Performance 728 x MYCT 4848 x MMIN 3556 x MMAX 1612 x CACH 2569 x CHMAX 539. Whereas if the model testing is done SVM algorithm is the best accuracy model compared to Decisioan Tree and KNN. That is they only differ in the loss function SVM minimizes hinge loss while logistic regression minimizes logistic loss.
In the linear classifier model the.
This can be a consequence of the following differences. The linear models LinearSVC and SVC kernellinear yield slightly different decision boundaries. If n is small 110 00 and m is intermediate 1010000. Linear decision boundary with y being 0 or 1 P y 1xσwT x b.
