misclassificationrate: Misclassification Rate for Class Prediction
In gencve: General Cross Validation Engine
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
The misclassification rate is appropriate for 0-1 loss function
for class prediction.
Usage
1
misclassificationrate(y, yp)
Arguments
y
vector of test cases
yp
corresonding vector of predictions
Value
the misclassification rate
Author(s)
A. I. McLeod
See Also
Examples
1
2
3
y <- c(3,1,1,3,3)
yh <- c(1,1,1,1,1)
misclassificationrate(y, yh)
gencve documentation built on May 2, 2019, 6:08 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
The misclassification rate is appropriate for 0-1 loss function for class prediction.
Usage
1 | misclassificationrate(y, yp)
|
Arguments
y |
vector of test cases |
yp |
corresonding vector of predictions |
Value
the misclassification rate
Author(s)
A. I. McLeod
See Also
Examples
1 2 3 | y <- c(3,1,1,3,3)
yh <- c(1,1,1,1,1)
misclassificationrate(y, yh)
|
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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