Description Usage Arguments Value Examples
CPW_C Classification Algorithm from KEEL.
1 |
train |
Train dataset as a data.frame object |
test |
Test dataset as a data.frame object |
beta |
beta. Default value = 8.0 |
mu |
mu. Default value = 0.001 |
ro |
ro. Default value = 0.001 |
epsilon |
epsilon. Default value = 0.001 |
A data.frame with the actual and predicted classes for both train
and test
datasets.
1 2 3 4 5 6 7 8 9 10 11 | #data_train <- RKEEL::loadKeelDataset("iris_train")
#data_test <- RKEEL::loadKeelDataset("iris_test")
#Create algorithm
#algorithm <- RKEEL::CPW_C(data_train, data_test)
#Run algorithm
#algorithm$run()
#See results
#algorithm$testPredictions
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