rsmp_auc: Resample AUC
In messamat/globalIRmap: What the Package Does (One Line, Title Case)

Description Usage Arguments Details Value Source

Compute the Area Under the ROC Curve or AUC (Hanley and McNiel, 1982) for binary classification predictions from a single ResampleResult extracted from an mlr3 BenchmarkResult.
This is a utility function.

1	rsmp_auc(bmres, rsmp_i)

`bmres`	BenchmarkResult from either a binary classification model or a regression model bounded between 0 and 1.
`rsmp_i`	(integer) index of the resample result to process.

See the mlr3 reference website for a definition of the AUC.

(numeric) auc

Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. https://doi.org/10.1148/radiology.143.1.7063747

messamat/globalIRmap documentation built on July 4, 2021, 10:48 a.m.