#!/usr/bin/python
# -*- coding: utf-8 -*-
from genetic_rough_sets_classifier import GeneticRoughSetsClassifier
if __name__ == '__main__':
K_FOLD_NUMBER = 4
K = 1
GENERATIONS = 500
MUTATION = 0.3
CROSS_OVER = 0.9
G = 7
POPULATION = 10
grs = GeneticRoughSetsClassifier(debug=DEBUG)
filename = 'datasets/iris.data.txt'
grs.read_data(filepath=filename, label_is_last=False)
grs.prepare_data(k_fold_number=K_FOLD_NUMBER)
grs.k_fold_cross_validation(k=K)
grs.initialize_genetic(generations=GENERATIONS, mutation_prop=MUTATION, crossover_prop=CROSS_OVER)
grs.create_population(population_size=POPULATION, division=G)
# run genetic algorithm
grs.run()
# genetic algorithm found granulation
# now classify patterns
classified = 0
for i in range(len(patterns)):
if labels[i] == grs.classify(patterns[i]):
classified += 1
grs.print_summary()
