rpCal

Start aplikacji
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.1, liczba neuronow=2, liczba epok=500, momentum=0.20.1524476383514526

Correctly Classified Instances       13799               84.7552 %
Incorrectly Classified Instances      2482               15.2448 %
Kappa statistic                          0.52  
Mean absolute error                      0.2105
Root mean squared error                  0.3288
Relative absolute error                 57.9322 %
Root relative squared error             77.3951 %

rpCal

Start aplikacji
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.1, liczba neuronow=2, liczba epok=500, momentum=0.20.1524476383514526

Correctly Classified Instances       13799               84.7552 %
Incorrectly Classified Instances      2482               15.2448 %
Kappa statistic                          0.52  
Mean absolute error                      0.2105
Root mean squared error                  0.3288
Relative absolute error                 57.9322 %
Root relative squared error             77.3951 %

rpCal

import java.io.File;
import java.io.IOException;

import weka.classifiers.Evaluation;
import weka.classifiers.functions.MultilayerPerceptron;
import weka.core.Instances;
import weka.core.converters.ArffLoader;
import weka.filters.Filter;
import weka.filters.supervised.attribute.NominalToBinary;
import weka.filters.unsupervised.attribute.Normalize;