confusion_matrix: Compute a confusion matrix

In jiho/zooprocessr: Read and analyse data generated by zooprocess

Description

Compute a confusion matrix

Usage

confusion_matrix(pred, valid)

Arguments

pred	vector of predicted categories
valid	vector of true categories, after validation

Value

An object of class table with the predicted categories as rows and the true, validated categories as columns. The list of categories is made the same for each which always result in a square matrix

See Also

Other confusion statistics functions: autoplot.table, blank_diagonal, confusion_stats

Examples

n <- 50
pred <- sample(letters[1:5], size=n, replace=TRUE)
valid <- sample(letters[2:8], size=n, replace=TRUE)
confusion_matrix(pred, valid)

jiho/zooprocessr documentation built on May 19, 2019, 10:31 a.m.