rtROC: Build an ROC curve

In egenn/rtemis: Machine Learning and Visualization

Build an ROC curve

Description

Calculate the points of an ROC curve and the AUC

Usage

rtROC(
  true.labels,
  predicted.probabilities,
  thresholds = NULL,
  plot = FALSE,
  theme = rtTheme,
  verbose = TRUE
)

Arguments

true.labels	Factor with true labels
predicted.probabilities	Numeric vector of predicted probabilities / estimated score
thresholds	Numeric vector of thresholds to consider
plot	Logical: If TRUE, print plot
theme	rtemis theme to use
verbose	Logical: If TRUE, print messages to console

Details

true.labels should be a factor (will be coerced to one) where the first level is the "positive" case. predicted.probabilities should be a vector of floats 0, 1 where ⁠[0, .5)⁠ corresponds to the first level and ⁠[.5, 1]⁠ corresponds to the second level. predicted.probabilities

Author(s)

E.D. Gennatas

egenn/rtemis documentation built on Nov. 22, 2024, 4:12 a.m.