get_CLE_class: get_CLE_class

In CalibratR: Mapping ML Scores to Calibrated Predictions

Description

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.

Usage

get_CLE_class(actual, predicted, bins = 10)

Arguments

actual	vector of observed class labels (0/1)
predicted	vector of uncalibrated predictions
bins	number of bins for the equal-width binning model, default=10

Value

object of class list containing the following components:

class_1	CLE of class 1 instances
class_0	CLE of class 0 instances

See Also

melt ggplot,geom_line,aes,position_dodge,labs,scale_colour_manual

CalibratR documentation built on Aug. 19, 2019, 5:04 p.m.