Aliases: tidy.confusionMatrix caret_tidiers confusionMatrix_tidiers
Keywords:
### ** Examples # feel free to ignore the following lineāit allows {broom} to supply # examples without requiring the model-supplying package to be installed. if (requireNamespace("caret", quietly = TRUE)) { # load libraries for models and data library(caret) set.seed(27) # generate data two_class_sample1 <- as.factor(sample(letters[1:2], 100, TRUE)) two_class_sample2 <- as.factor(sample(letters[1:2], 100, TRUE)) two_class_cm <- confusionMatrix( two_class_sample1, two_class_sample2 ) # summarize model fit with tidiers tidy(two_class_cm) tidy(two_class_cm, by_class = FALSE) # multiclass example six_class_sample1 <- as.factor(sample(letters[1:6], 100, TRUE)) six_class_sample2 <- as.factor(sample(letters[1:6], 100, TRUE)) six_class_cm <- confusionMatrix( six_class_sample1, six_class_sample2 ) # summarize model fit with tidiers tidy(six_class_cm) tidy(six_class_cm, by_class = FALSE) }