GerritySkillScore: Calculate the Gerrity Skill score

In joaofgoncalves/SegOptim: Optimization of Image Segmentation Parameters for Object-Based Image Analysis (OBIA)

Calculate the Gerrity Skill score

Description

A function used to calculate the Gerrity skill score (GSS). This statistic uses all entries in the confusion matrix, so it does not depend on the forecast distribution, and is equitable (i.e., random and constant forecasts score a value of 0). GSS does not reward conservative forecasting but rather rewards forecasts for correctly predicting the less likely categories. Smaller errors are penalized less than larger forecast errors. This is achieved through the use of the scoring matrix.

Usage

GerritySkillScore(obs, pred)

Arguments

obs	Integer vector with observed values (class labels).
pred	Integer vector with predicted values (class labels).

Details

Adapted from verification package at URL: https://github.com/cran/verification/blob/32e864afca8895391f179c2a97707e126ca31f20/R/multi.cont.R

Value

Numeric. The GSS value calculated.

Examples

obs<-sample(c(1:5),100,replace = TRUE)
pred<-sample(c(1:5),100,replace = TRUE)
GerritySkillScore(obs, pred)

joaofgoncalves/SegOptim documentation built on Feb. 5, 2024, 11:10 p.m.