Accuracy: computes accuracy of a vector
In rfVarImpOOB: Unbiased Variable Importance for Random Forests
Accuracy R Documentation
computes accuracy of a vector
Description
Accuracy is defined as the proportion of correct labels
Usage
Accuracy(y, yHat, dig = 8)
Arguments
y
vector of categorical/nominal values
yHat
prediction/estimate
dig
number of digits
Value
Accuracy defined as proportion of values equal to majority
Author(s)
Markus Loecher <Markus.Loecher@gmail.com>
Examples
Accuracy(c(rep(0,9),1), 1)
Accuracy(c(rep(0,9),1), 0)
rfVarImpOOB documentation built on July 1, 2022, 5:05 p.m.
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| Accuracy | R Documentation |
computes accuracy of a vector
Description
Accuracy is defined as the proportion of correct labels
Usage
Accuracy(y, yHat, dig = 8)
Arguments
y |
vector of categorical/nominal values |
yHat |
prediction/estimate |
dig |
number of digits |
Value
Accuracy defined as proportion of values equal to majority
Author(s)
Markus Loecher <Markus.Loecher@gmail.com>
Examples
Accuracy(c(rep(0,9),1), 1) Accuracy(c(rep(0,9),1), 0)
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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