evaluation.adjr2: Adjusted R2 evaluation of regression predictions

In fdm2id: Data Mining and R Programming for Beginners

Adjusted R2 evaluation of regression predictions

Description

Evaluation predictions of a regression model according to R2

Usage

evaluation.adjr2(predictions, gt, nrow = length(predictions), ncol, ...)

Arguments

predictions	The predictions of a regression model (vector).
gt	The ground truth (vector).
nrow	Number of observations.
ncol	Number of variables
...	Other parameters.

Value

The evaluation of the predictions (numeric value).

See Also

evaluation.msep, evaluation

Examples

require (datasets)
data (trees)
d = splitdata (trees, 3)
model.linreg = LINREG (d$train.x, d$train.y)
pred.linreg = predict (model.linreg, d$test.x)
evaluation.r2 (pred.linreg, d$test.y)

fdm2id documentation built on July 9, 2023, 6:05 p.m.