GFS_AdaBoost_C {RKEEL} | R Documentation |
GFS_AdaBoost_C KEEL Classification Algorithm
Description
GFS_AdaBoost_C Classification Algorithm from KEEL.
Usage
GFS_AdaBoost_C(train, test, numLabels, numRules, seed)
Arguments
train |
Train dataset as a data.frame object |
test |
Test dataset as a data.frame object |
numLabels |
numLabels. Default value = 3 |
numRules |
numRules. Default value = 8 |
seed |
Seed for random numbers. If it is not assigned a value, the seed will be a random number |
Value
A data.frame with the actual and predicted classes for both train
and test
datasets.
Examples
data_train <- RKEEL::loadKeelDataset("iris_train")
data_test <- RKEEL::loadKeelDataset("iris_test")
#Create algorithm
algorithm <- RKEEL::GFS_AdaBoost_C(data_train, data_test)
#Run algorithm
algorithm$run()
#See results
algorithm$testPredictions
[Package RKEEL version 1.3.4 Index]