How to predict labels for new data (test set) by the KNN model in Matlab? This is a part of my code: cvmodel=fitcknn(training_data,class1, 'Distance',@mindistnew, 'NumNeighbors',1, 'KFold',10); cvclass=predict(cvmodel, testing_data);
When I run this on matlab I got this error msg:
Error using predict (line 84) Systems of classreg.learning.partition.ClassificationPartitionedModel class cannot be used with the "predict" command. Convert the system to an identified model first, such as by using the "idss" command.
Error in SAX_IP_G_ALL_Best_CV85 (line 23) cvclass=predict(cvmodel, testing_Best);
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