yh_RF: Random Forest Prediction
In gencve: General Cross Validation Engine
Description
Usage
Arguments
Value
Author(s)
Examples
Description
Given training data and test examples, the RF predictions for the test data are produced and
the misclassification rate is returned.
Usage
1
yh_RF(dfTr, dfTe)
Arguments
dfTr
dataframe with last column for the output. The output must be a factor.
dfTe
dataframe for test data. Must have columns corresponding to the training columns except
the test output is not needed.
Value
tba. Not fully implemented yet.
Author(s)
A. I. McLeod
Examples
1
yh_RF(SinghTrain, SinghTest)#0
gencve documentation built on May 2, 2019, 6:08 a.m.
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.
Description Usage Arguments Value Author(s) Examples
Description
Given training data and test examples, the RF predictions for the test data are produced and the misclassification rate is returned.
Usage
1 | yh_RF(dfTr, dfTe)
|
Arguments
dfTr |
dataframe with last column for the output. The output must be a factor. |
dfTe |
dataframe for test data. Must have columns corresponding to the training columns except the test output is not needed. |
Value
tba. Not fully implemented yet.
Author(s)
A. I. McLeod
Examples
1 | yh_RF(SinghTrain, SinghTest)#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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.