Description Usage Arguments Value Examples
IncrRBFN_C Classification Algorithm from KEEL.
1 | IncrRBFN_C(train, test, epsilon, alfa, delta, seed)
|
train |
Train dataset as a data.frame object |
test |
Test dataset as a data.frame object |
epsilon |
epsilon. Default value = 0.1 |
alfa |
alfa. Default value = 0.3 |
delta |
delta. Default value = 0.5 |
seed |
Seed for random numbers. If it is not assigned a value, the seed will be a random number |
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::IncrRBFN_C(data_train, data_test)
#Run algorithm
#algorithm$run()
#See results
#algorithm$testPredictions
|
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