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Repeatedly withholding subsets of the data during model fitting in order to quantify the model performance on the withheld data subsets.
2
votes
Is cross-validation an effective approach for feature/model selection for microarray data?
The answer really seems to be that cross-validation is not great because its results are extremely variable but it remains the best option available. The only other competitive approach seems to be t …
6
votes
2
answers
798
views
Is cross-validation an effective approach for feature/model selection for microarray data?
I've been working with WEKA to build class predictors using this (rather old..) breast cancer dataset. The dataset is divided into a training and a test set. I've been testing different learning sch …