Description Usage Arguments Value Examples
CMAR_C Associative Classification Algorithm from KEEL.
1 | CMAR_C(train, test, min_confidence, min_support, databaseCoverage)
|
train |
Train dataset as a data.frame object |
test |
Test dataset as a data.frame object |
min_confidence |
min_confidence. Default value = 0.5 |
min_support |
min_support. Default value = 0.01 |
databaseCoverage |
databaseCoverage. Default value = 4 |
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 | #data <- loadKeelDataset("breast")
#Create algorithm
#algorithm <- RKEEL::CMAR_C(data, data)
#Run algorithm
#algorithm$run()
#See results
#algorithm$testPredictions
|
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