Kappa: Cohen's Kappa

In RobustMetrics: Calculates Robust Performance Metrics for Imbalanced Classification Problems

Cohen's Kappa

Description

Compute Cohen's Kappa coefficient.

Usage

Kappa(
  actual = NULL,
  predicted = NULL,
  TP = NULL,
  FN = NULL,
  FP = NULL,
  TN = NULL
)

Arguments

actual	A vector of actual values (1/0 or TRUE/FALSE)
predicted	A vector of prediction values (1/0 or TRUE/FALSE)
TP	Count of true positives (correctly predicted 1/TRUE)
FN	Count of false negatives (predicted 0/FALSE, but actually 1/TRUE)
FP	Count of false positives (predicted 1/TRUE, but actually 0/FALSE)
TN	Count of true negatives (correctly predicted 0/FALSE)

Details

Calculate Cohen's Kappa coefficient. Provide either:

• actual and predicted or

• TP, FN, FP and TN.

Value

Cohen's Kappa coefficient.

References

Holzmann, H., Klar, B. (2026). Robust performance metrics for imbalanced classification problems. arXiv:2404.07661. LINK

Examples

actual <- c(1,1,1,1,1,1,0,0,0,0)
predicted <- c(1,1,1,1,0,0,1,0,0,0)
Kappa(actual, predicted)
Kappa(TP=4, FN=2, FP=1, TN=3)

RobustMetrics documentation built on Aug. 21, 2026, 5:17 p.m.