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Questions about Support Vector Machines. SVMs are supervised learning models used for classification and regression tasks.
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How to tackle different sample size in the training set in SVM
I have to train a SVM for a classification problem. I have some strings that are the paths in a deterministic finite automata (DFA). … The purpose of classifier (SVM) is the correct prediction (label) of unseen strings like accepting or rejecting(label 1 or label -1, binary classification). …