misclassification: Calculate misclassification error
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View source: R/misclassification.R
misclassification R Documentation
Calculate misclassification error
Description
misclassification calculate misclassification error between predicted class and true class
Usage
misclassification(pred, true)
Arguments
pred
Predicted class
true
Actual class
Value
Misclassification error for binary or multiclass outcome.
See Also
To calculate the Area Under the Curve (AUC) for binary or multiclass outcomes, please refer to the pROC.
Examples
Y1 <- rbinom(10,1,0.5)
Y2 <- rnorm(10,1,0.5)
misclassification(Y1,Y2)
xtune documentation built on July 9, 2023, 5:22 p.m.
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View source: R/misclassification.R
| misclassification | R Documentation |
Calculate misclassification error
Description
misclassification calculate misclassification error between predicted class and true class
Usage
misclassification(pred, true)
Arguments
pred |
Predicted class |
true |
Actual class |
Value
Misclassification error for binary or multiclass outcome.
See Also
To calculate the Area Under the Curve (AUC) for binary or multiclass outcomes, please refer to the pROC.
Examples
Y1 <- rbinom(10,1,0.5)
Y2 <- rnorm(10,1,0.5)
misclassification(Y1,Y2)
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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