confusion_stats: Compute confusion statistics (recall, precision, etc.)
In jiho/zooprocessr: Read and analyse data generated by zooprocess

Description Usage Arguments See Also Examples

Compute confusion statistics (recall, precision, etc.)

1	confusion_stats(x, sort.by = NULL)

`x`	confusion matrix (table class with predictions as line and validated, true classes as columns), as returned by `confusion_matrix()`
`sort.by`	column to sort the result by (usually "recall", "precision", or "F1"); can be abbreviated

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

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