"Cross validation for regression"
Hello,
how could I assess the performance of a regression system by cross validation? the x-validation operator seems to work only for classification. When I try to use it with a neural network inside, I get the error message: "X-Validation cannot handle numerical label".
Thanks
how could I assess the performance of a regression system by cross validation? the x-validation operator seems to work only for classification. When I try to use it with a neural network inside, I get the error message: "X-Validation cannot handle numerical label".
Thanks
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Change the sampling type to "shuffled sampling" in the X-Validation operator. The default "stratified sampling" keeps the proportion of classes the same for each sample it creates. If there are too many classes because the label is a continuous value, the operator will struggle because it will never be able to find exact matches for all examples in each sample.
regards,
Andrew