fdm2id (version 0.9.9)

evaluation.adjr2: 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, ...)

Value

The evaluation of the predictions (numeric value).

Arguments

predictions

The predictions of a regression model (vector).

gt

The ground truth (vector).

nrow

Number of observations.

ncol

Number of variables

...

Other parameters.

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)