cm_evaluate {predicts} | R Documentation |
Model evaluation with a confusion matrix
Description
Get model evaluation statistics from a confusion matrix. This is useful when predicting (multiple) classes.
Usage
cm_evaluate(cmat, stat="overall")
Arguments
cmat |
confusion matrix. Normally created with table (see examples) |
stat |
character. Either "overall" (overall accuracy), "kappa", "class" for user and producer accuracy |
Value
numeric
See Also
Examples
classes <- c("forest", "water", "urban", "agriculture")
set.seed(1)
observed <- sample(classes, 100, replace=TRUE)
predicted <- observed
i <- seq(1,100,2)
predicted[i] <- sample(classes, length(i), replace=TRUE)
conmat <- table(observed, predicted)
conmat
cm_evaluate(conmat, "kappa")
cm_evaluate(conmat, "class")
[Package predicts version 0.1-17 Index]