evaluation.accuracy: Accuracy of classification predictions

In fdm2id: Data Mining and R Programming for Beginners

Accuracy of classification predictions

Description

Evaluation predictions of a classification model according to accuracy.

Usage

evaluation.accuracy(predictions, gt, ...)

Arguments

predictions	The predictions of a classification model (factor or vector).
gt	The ground truth (factor or vector).
...	Other parameters.

Value

The evaluation of the predictions (numeric value).

See Also

evaluation.fmeasure, evaluation.fowlkesmallows, evaluation.goodness, evaluation.jaccard, evaluation.kappa, evaluation.precision, evaluation.precision, evaluation.recall, evaluation

Examples

require (datasets)
data (iris)
d = splitdata (iris, 5)
model.nb = NB (d$train.x, d$train.y)
pred.nb = predict (model.nb, d$test.x)
evaluation.accuracy (pred.nb, d$test.y)

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