Take the raw output of kfold.cv and calculate performance statistics for each iteration of the cross-validation.
evaluate.cv.results(cv.data, y, censor.vec, trt.vec, type)a list containing raw statistics and fold information
output of prediction function from kfold.cv
data frame of the response variable from CV data.
data frame indicating censoring for survival data. For binary or continuous data, set censor.vec <- NULL.
data frame indicating whether or not the patient was treated. For the pronostic case, set trt.vec <- NULL.
data type - "c" - continuous , "b" - binary, "s" - time to event - default = "c"
Cross-validation Performance Evaluation