rforest: Random forest classification panel
In singha53/amritr: Accessory Functions Used by Amrit Singh
Description
build random forest classification panel
Usage
1
2
Arguments
X
nxp matrix - training dataset
Y
categorical variables
X.test
nxp matrx - test dataset
family
"binomial" or "multinomial"
filter
= "none" or "p.value"
topranked
= 50 (top number of features to select and build a classifier)
singha53/amritr documentation built on July 21, 2019, 3:46 p.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
build random forest classification panel
Usage
1 2 |
Arguments
X |
nxp matrix - training dataset |
Y |
categorical variables |
X.test |
nxp matrx - test dataset |
family |
"binomial" or "multinomial" |
filter |
= "none" or "p.value" |
topranked |
= 50 (top number of features to select and build a classifier) |
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.