gensvm.accuracy {gensvm}

Compute the accuracy score

Description

Compute the accuracy score between the true labels and the predicted labels.

Usage

gensvm.accuracy(y.true, y.pred)

Arguments

y.true

vector of true labels

y.pred

vector of predicted labels

Value

The accuracy as a value in the range [0.0, 1.0]

Author(s)

Gerrit J.J. van den Burg, Patrick J.F. Groenen
Maintainer: Gerrit J.J. van den Burg <[e-mail]>

References

Van den Burg, G.J.J. and Groenen, P.J.F. (2016). GenSVM: A Generalized Multiclass Support Vector Machine, Journal of Machine Learning Research, 17(225):1–42. URL https://jmlr.org/papers/v17/14-526.html.

See Also

predict.gensvm.grid, predict.gensvm, gensvm-package

Examples

x <- iris[, -5]
y <- iris[, 5]

fit <- gensvm(x, y)
gensvm.accuracy(predict(fit, x), y)