accuracy: Compute predictive accuracy.
In bnclassify: Learning Discrete Bayesian Network Classifiers from Data
accuracy R Documentation
Compute predictive accuracy.
Description
Compute predictive accuracy.
Usage
accuracy(x, y)
Arguments
x
A vector of predicted labels.
y
A vector of true labels.
Examples
data(car)
nb <- bnc('nb', 'class', car, smooth = 1)
p <- predict(nb, car)
accuracy(p, car$class)
bnclassify documentation built on June 22, 2024, 11:08 a.m.
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| accuracy | R Documentation |
Compute predictive accuracy.
Description
Compute predictive accuracy.
Usage
accuracy(x, y)
Arguments
x |
A vector of predicted labels. |
y |
A vector of true labels. |
Examples
data(car)
nb <- bnc('nb', 'class', car, smooth = 1)
p <- predict(nb, car)
accuracy(p, car$class)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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