pctCorrect: Percent Correctly Classified
In rfPermute: Estimate Permutation p-Values for Random Forest Importance Metrics
pctCorrect R Documentation
Percent Correctly Classified
Description
For classification models, calculate the percent of
individuals correctly classified in a specified percent of trees in
the forest.
Usage
pctCorrect(x, pct = c(seq(0.8, 0.95, 0.05), 0.99))
Arguments
x
a rfPermte or randomForest model object.
pct
vector of minimum percent of trees voting for each class. Can be
0:1 or 0:100.
Value
a matrix giving the percent of individuals correctly classified in
each class and overall for each threshold value specified in pct.
Author(s)
Eric Archer eric.archer@noaa.gov
Examples
library(randomForest)
data(mtcars)
rf <- randomForest(factor(am) ~ ., mtcars, importance = TRUE)
pctCorrect(rf)
rfPermute documentation built on Aug. 24, 2023, 1:08 a.m.
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| pctCorrect | R Documentation |
Percent Correctly Classified
Description
For classification models, calculate the percent of individuals correctly classified in a specified percent of trees in the forest.
Usage
pctCorrect(x, pct = c(seq(0.8, 0.95, 0.05), 0.99))
Arguments
x |
a |
pct |
vector of minimum percent of trees voting for each class. Can be
|
Value
a matrix giving the percent of individuals correctly classified in
each class and overall for each threshold value specified in pct.
Author(s)
Eric Archer eric.archer@noaa.gov
Examples
library(randomForest)
data(mtcars)
rf <- randomForest(factor(am) ~ ., mtcars, importance = TRUE)
pctCorrect(rf)
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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