calculates the class-specific classification error CLE in the test set.
The method computes the deviation of the calibrated predictions of class 1 instances from their true value 1.
For class 0 instances, get_CLE_class computes the deviation from 0.
Class 1 CLE is 0 when all class 1 instances have a calibrated prediction of 1 regardless of potential miscalibration of class 0 instances.
CLE calculation is helpful when miscalibration and -classification is more cost-sensitive for one class than for the other.
get_CLE_class(actual, predicted, bins = 10)vector of observed class labels (0/1)
vector of uncalibrated predictions
number of bins for the equal-width binning model, default=10
object of class list containing the following components:
CLE of class 1 instances
CLE of class 0 instances
melt
ggplot,geom_line,aes,position_dodge,labs,scale_colour_manual