twoClassSDM: Calculates performance metrics for two classes

In correapvf/caretSDM: Species Distribution Models using caret

Calculates performance metrics for two classes

Description

Functions to calculate performance metrics for two class Classification problems, to be used in trainControl or evaluate.

Usage

twoClassSDM(data, lev = NULL, model = NULL)

twoClassSDM2(data, lev = NULL, model = NULL)

twoClassTSS(data, lev = NULL, model = NULL)

Arguments

data, lev, model

Check twoClassSummary.

Details

twoClassTSS calculates ROC, sensitivity, specificity and True-Skill Statistics (TSS). twoClassSDM is a wrapper for multiple metrics, and calculates kappa, AUC and TSS. twoClassSDM2 calculates all metrics from twoClassSDM, plus log-likelihood.

Examples

## Not run: 
control <- trainControl(method = "cv", classProbs = TRUE, summaryFunction = twoClassSDM)
control <- trainControl(method = "cv", summaryFunction = twoClassTSS)

## End(Not run)

correapvf/caretSDM documentation built on June 2, 2022, 8:29 a.m.