imageTrain: A modified version of RF classifier

In nimasasa/RFCMFND: A Random Forest Classifier for Multi-type Functional Neuroimaging Data

Description

A modified version of RF classifier

Usage

imageTrain(data, cparallel = FALSE, accuracy = FALSE)

Arguments

data	A data.frame of the pre-processed inputs.
cparallel	If cparallel=TRUE, the RCPP Random Forest Classifier runs with parallel cores.
accuracy	If accuracy=TRUE, the accuracy of the classifier is shown.

Value

Model and acc, a list in which the first element is the model object (named “Model”) and the second element is the list of accuracies across the classes (named “acc”).

See Also

https://cran.r-project.org/web/packages/randomForest/index.html

https://cran.r-project.org/web/packages/caret/index.html

https://cran.r-project.org/web/packages/Rborist/index.html

Examples

imageTrain(data, cparallel=TRUE, accuracy=TRUE)

nimasasa/RFCMFND documentation built on May 23, 2019, 7:05 p.m.