rf.regression.fit: Random Forest fit statistics
In jeffreyevans/rfUtilities: Random Forests Model Selection and Performance Evaluation
View source: R/rf.regression.fit.R
rf.regression.fit R Documentation
Random Forest fit statistics
Description
Evaluates fit and overfit of random forests regression
Usage
rf.regression.fit(x)
Arguments
x
randomForest or ranger regression object
Value
A list and rf.fit class object with "fit" matrix of fit statistics
and "message" indicating overfit risk.
Author(s)
Jeffrey S. Evans <jeffrey_evans@tnc.org>
Examples
library(randomForest)
set.seed(131)
data(airquality)
airquality <- na.omit(airquality)
( rf.aq <- randomForest(airquality[,1:3], airquality[,"Ozone"]) )
rf.regression.fit(rf.aq)
jeffreyevans/rfUtilities documentation built on Nov. 12, 2023, 6:52 p.m.
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View source: R/rf.regression.fit.R
| rf.regression.fit | R Documentation |
Random Forest fit statistics
Description
Evaluates fit and overfit of random forests regression
Usage
rf.regression.fit(x)
Arguments
x |
randomForest or ranger regression object |
Value
A list and rf.fit class object with "fit" matrix of fit statistics and "message" indicating overfit risk.
Author(s)
Jeffrey S. Evans <jeffrey_evans@tnc.org>
Examples
library(randomForest)
set.seed(131)
data(airquality)
airquality <- na.omit(airquality)
( rf.aq <- randomForest(airquality[,1:3], airquality[,"Ozone"]) )
rf.regression.fit(rf.aq)
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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