predscore: Score predictive performance

In kuwisdelu/matter: Scientific computing for out-of-memory signals and images

Score predictive performance

Description

Calculate performance metrics for predictions from classification or regression.

Usage

predscore(x, ref)

Arguments

x	The predicted values.
ref	The reference (observed) values.

Value

For classification, a numeric matrix with a row for each class and columns called "Recall" and "Precision".

For regression, a numeric vector with elements named "RMSE", "MAE", and "MAPE".

Author(s)

Kylie A. Bemis

Examples

set.seed(1)
n <- 250
s <- c("a", "b", "c")
x <- sample(s, n, replace=TRUE)
pred <- ifelse(runif(n) > 0.1, x, sample(s, n, replace=TRUE))
predscore(pred, x)

kuwisdelu/matter documentation built on May 1, 2024, 5:17 a.m.