How a SVM classifier is generated?

johnny5550822johnny5550822 Member Posts: 12 Contributor II
edited August 2020 in Help
I have a training set and build a SVM classifier out from that. I obtain the performance matrix (AUC, precision, accuracy). How are these values being obtained in cross validation? Specifically, rapidminer determine an optimal threshold for SVM, and then use that threshold, we do cross validation and obtain precision, and accuracy?

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