I'm trying to make a svm classificator using Matlab and want to use cross validation. But
predictor = fitcsvm(features, vect, 'Standardize', true, 'CrossVal', 'on');
returns ClassificationPartitionedModel and function predict can not operate with predictor belongs to this class. So, how should I do predictions using ClassificationPartitionedModel predictor?
How to use cross validation in MATLAB
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You can use
kfoldpredictfor this purpose. It operates on theClassificationPartitionedModelclass. You can retrieve the classification loss using the alliedkfoldlossfunction.