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Add ROC columns derived from sensitivity and specificity.
add_ROC_derived_columns(d, positive_prevalence)
extended data frame with more columns
input data frame, must at lest of columns Sensitivity and Specificity
scalar, the prevalence of the positive class or prior odds
d <- data.frame(pred = 1:4, truth = c(TRUE,FALSE,TRUE,TRUE)) roc <- build_ROC_curve(d$pred, d$truth) add_ROC_derived_columns(roc, mean(d$truth))
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