rf.regression.fit: Random Forest fit statistics
In rfUtilities: Random Forests Model Selection and Performance Evaluation
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/rf.regression.fit.R
Description
Evaluates fit and overfit of random forests regression
Usage
1
Arguments
x
randomForest 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
1
2
3
4
5
6
library(randomForest)
set.seed(131)
data(airquality)
airquality <- na.omit(airquality)
( rf.aq <- randomForest(airquality[,1:3], airquality[,"Ozone"]) )
rf.regression.fit(rf.aq)
rfUtilities documentation built on Oct. 3, 2019, 9:04 a.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/rf.regression.fit.R
Description
Evaluates fit and overfit of random forests regression
Usage
1 |
Arguments
x |
randomForest 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
1 2 3 4 5 6 | 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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