calcMis: Calculate the misclassification rate
In logicDT: Identifying Interactions Between Binary Predictors
calcMis R Documentation
Calculate the misclassification rate
Description
Computation of the misclassification rate for risk
estimates in a binary classification problem.
Usage
calcMis(preds, y, cutoff = 0.5)
Arguments
preds
Numeric vector of predictions
y
True outcomes
cutoff
Classification cutoff. By default,
scores above 50
otherwise.
Value
The misclassification rate
logicDT documentation built on Jan. 14, 2023, 5:06 p.m.
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| calcMis | R Documentation |
Calculate the misclassification rate
Description
Computation of the misclassification rate for risk estimates in a binary classification problem.
Usage
calcMis(preds, y, cutoff = 0.5)
Arguments
preds |
Numeric vector of predictions |
y |
True outcomes |
cutoff |
Classification cutoff. By default, scores above 50 otherwise. |
Value
The misclassification rate
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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