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Classification methods results through Testing and validation
I wonder how I can get the accuracy, recall, precision, f-measure of the classifier from testing and validation?. I have multi class classification. I used cross validation. I got the final accurcy, recall , precision of the model, but I want to know how was model doing in training and testing.