Radar plot with model scores. Scores are scaled to [0,1], each score is inversed and divided by maximum score value.

plotModelRanking(object, ..., scores = c("MAE", "MSE", "REC", "RROC"),
  new.score = NULL, table = TRUE)



An object of class ModelAudit.


Other modelAudit objects to be plotted together.


Vector of score names to be plotted.


A named list of functions that take one argument: object of class ModelAudit and return a numeric value. The measure calculated by the function should have the property that lower score value indicates better model.


Logical. Specifies if rable with score values should be plotted


ggplot object

See also


library(car) lm_model <- lm(prestige~education + women + income, data = Prestige) lm_au <- audit(lm_model, data = Prestige, y = Prestige$prestige) library(randomForest) rf_model <- randomForest(prestige~education + women + income, data = Prestige) rf_au <- audit(rf_model, data = Prestige, y = Prestige$prestige) plotModelRanking(lm_au, rf_au)
#> Coordinate system already present. Adding new coordinate system, which will replace the existing one.