build_ROC_curve {sigr} | R Documentation |
calculate ROC curve.
Description
Based on: https://blog.revolutionanalytics.com/2016/08/roc-curves-in-two-lines-of-code.html
Usage
build_ROC_curve(modelPredictions, yValues, ..., na.rm = FALSE, yTarget = TRUE)
Arguments
modelPredictions |
numeric predictions (not empty) |
yValues |
truth values (not empty, same length as model predictions) |
... |
force later arguments to bind by name. |
na.rm |
logical, if TRUE remove NA values. |
yTarget |
value considered to be positive. |
Value
the ROC graph of Score (model score), Sensitivity, and Specificity. Guaranteed to have the (0, 0) and (1, 1) (1-Specificity,Sensitivity) endpoints.
Examples
sigr::build_ROC_curve(1:4, c(TRUE,FALSE,TRUE,TRUE))
[Package sigr version 1.1.5 Index]