| evaluation.accuracy {fdm2id} | R Documentation |
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 ( |
gt |
The ground truth ( |
... |
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)
[Package fdm2id version 0.9.9 Index]