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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.
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Build confusion matrix for cross validated results?
You could compute all the confusion matrices, and then compute the mean and standard deviation for each entry. You could then report a summarized confusion matrix of means $\pm$ standard deviations.
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