Falco_GP-C: Falco_GP_C KEEL Classification Algorithm

Description Usage Arguments Value Examples

Description

Falco_GP_C Classification Algorithm from KEEL.

Usage

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Falco_GP_C(train, test, population_size, max_generations,
   max_deriv_size, rec_prob, mut_prob, copy_prob, alpha, seed)

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

population_size

population_size. Default value = 200

max_generations

max_generations. Default value = 200

max_deriv_size

max_deriv_size. Default value = 20

rec_prob

rec_prob. Default value = 0.8

mut_prob

mut_prob. Default value = 0.1

copy_prob

copy_prob. Default value = 0.01

alpha

alpha. Default value = 0.9

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

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#data_train <- RKEEL::loadKeelDataset("iris_train")
#data_test <- RKEEL::loadKeelDataset("iris_test")

#Create algorithm
#algorithm <- RKEEL::Falco_GP_C(data_train, data_test)
#algorithm <- RKEEL::Falco_GP_C(data_train, data_test, population_size = 5, max_generations = 10)

#Run algorithm
#algorithm$run()

#See results
#algorithm$testPredictions

RKEEL documentation built on March 19, 2020, 5:09 p.m.

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