Setting best SVM hyper parameters
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I have a non linear data set, and I am using SVM (RBF kernel) to build a classification model, but not sure how to set the best hyperparameters of the SVM, C and gamma in Matlab fitcsvm . And is it acceptable if it is trial and error approach setting arbitrary values, until finding the best performance?
classification svm matlab hyperparameter hyperparameter-tuning
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edited 4 mins ago
gin
asked 10 mins ago
gin gin
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