Deeps-C: Deeps_C KEEL Classification Algorithm
In RKEEL: Using Keel in R Code
Description
Usage
Arguments
Value
Examples
Description
Deeps_C Classification Algorithm from KEEL.
Usage
1
Arguments
train
Train dataset as a data.frame object
test
Test dataset as a data.frame object
beta
beta. Default value = 0.12
Value
A data.frame with the actual and predicted classes for both train and test datasets.
Examples
1
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11
data_train <- RKEEL::loadKeelDataset("iris_train")
data_test <- RKEEL::loadKeelDataset("iris_test")
#Create algorithm
algorithm <- RKEEL::Deeps_C(data_train, data_test)
#Run algorithm
algorithm$run()
#See results
algorithm$testPredictions
RKEEL documentation built on Aug. 10, 2017, 5:05 p.m.
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Description Usage Arguments Value Examples
Description
Deeps_C Classification Algorithm from KEEL.
Usage
1 |
Arguments
train |
Train dataset as a data.frame object |
test |
Test dataset as a data.frame object |
beta |
beta. Default value = 0.12 |
Value
A data.frame with the actual and predicted classes for both train and test datasets.
Examples
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::Deeps_C(data_train, data_test)
#Run algorithm
algorithm$run()
#See results
algorithm$testPredictions
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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