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@rpCal
Created January 18, 2016 21:39
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Wyniki NAI 22:39
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 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=2, liczba epok=500, momentum=0.20.15564154535962166
Correctly Classified Instances 13747 84.4358 %
Incorrectly Classified Instances 2534 15.5642 %
Kappa statistic 0.5713
Mean absolute error 0.2217
Root mean squared error 0.3345
Relative absolute error 61.0167 %
Root relative squared error 78.7454 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.3, liczba neuronow=2, liczba epok=500, momentum=0.20.1693384927215773
Correctly Classified Instances 13524 83.0662 %
Incorrectly Classified Instances 2757 16.9338 %
Kappa statistic 0.417
Mean absolute error 0.2169
Root mean squared error 0.3366
Relative absolute error 59.7013 %
Root relative squared error 79.2286 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.4, liczba neuronow=2, liczba epok=500, momentum=0.20.15846692463607887
Correctly Classified Instances 13701 84.1533 %
Incorrectly Classified Instances 2580 15.8467 %
Kappa statistic 0.5604
Mean absolute error 0.2216
Root mean squared error 0.3397
Relative absolute error 61.0001 %
Root relative squared error 79.9641 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.5, liczba neuronow=2, liczba epok=500, momentum=0.20.1628892574166206
Correctly Classified Instances 13629 83.7111 %
Incorrectly Classified Instances 2652 16.2889 %
Kappa statistic 0.56
Mean absolute error 0.2208
Root mean squared error 0.3416
Relative absolute error 60.7824 %
Root relative squared error 80.4128 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.6, liczba neuronow=2, liczba epok=500, momentum=0.20.1864136109575579
Correctly Classified Instances 13246 81.3586 %
Incorrectly Classified Instances 3035 18.6414 %
Kappa statistic 0.3155
Mean absolute error 0.2103
Root mean squared error 0.3536
Relative absolute error 57.8935 %
Root relative squared error 83.2435 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.7, liczba neuronow=2, liczba epok=500, momentum=0.20.1676186966402555
Correctly Classified Instances 13552 83.2381 %
Incorrectly Classified Instances 2729 16.7619 %
Kappa statistic 0.5568
Mean absolute error 0.221
Root mean squared error 0.3436
Relative absolute error 60.8304 %
Root relative squared error 80.889 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.8, liczba neuronow=2, liczba epok=500, momentum=0.20.15969535040845156
Correctly Classified Instances 13681 84.0305 %
Incorrectly Classified Instances 2600 15.9695 %
Kappa statistic 0.5525
Mean absolute error 0.2159
Root mean squared error 0.3427
Relative absolute error 59.4274 %
Root relative squared error 80.6737 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.9, liczba neuronow=2, liczba epok=500, momentum=0.20.16344204901418832
Correctly Classified Instances 13620 83.6558 %
Incorrectly Classified Instances 2661 16.3442 %
Kappa statistic 0.4707
Mean absolute error 0.2006
Root mean squared error 0.3476
Relative absolute error 55.213 %
Root relative squared error 81.832 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=4, liczba epok=500, momentum=0.20.1560714943799521
Correctly Classified Instances 13740 84.3929 %
Incorrectly Classified Instances 2541 15.6071 %
Kappa statistic 0.4933
Mean absolute error 0.1886
Root mean squared error 0.3421
Relative absolute error 51.9128 %
Root relative squared error 80.5348 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=5, liczba epok=500, momentum=0.20.14605982433511455
Correctly Classified Instances 13903 85.394 %
Incorrectly Classified Instances 2378 14.606 %
Kappa statistic 0.5775
Mean absolute error 0.1919
Root mean squared error 0.324
Relative absolute error 52.8255 %
Root relative squared error 76.2631 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=6, liczba epok=500, momentum=0.20.1498065229408513
Correctly Classified Instances 13842 85.0193 %
Incorrectly Classified Instances 2439 14.9807 %
Kappa statistic 0.5229
Mean absolute error 0.1855
Root mean squared error 0.3249
Relative absolute error 51.0678 %
Root relative squared error 76.4958 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=7, liczba epok=500, momentum=0.20.15521159633929119
Correctly Classified Instances 13754 84.4788 %
Incorrectly Classified Instances 2527 15.5212 %
Kappa statistic 0.5079
Mean absolute error 0.1906
Root mean squared error 0.3275
Relative absolute error 52.4623 %
Root relative squared error 77.0861 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=8, liczba epok=500, momentum=0.20.14986794422946995
Correctly Classified Instances 13841 85.0132 %
Incorrectly Classified Instances 2440 14.9868 %
Kappa statistic 0.534
Mean absolute error 0.195
Root mean squared error 0.3286
Relative absolute error 53.6887 %
Root relative squared error 77.351 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=9, liczba epok=500, momentum=0.20.15035931453841903
Correctly Classified Instances 13833 84.9641 %
Incorrectly Classified Instances 2448 15.0359 %
Kappa statistic 0.555
Mean absolute error 0.1941
Root mean squared error 0.328
Relative absolute error 53.4191 %
Root relative squared error 77.2162 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=2, liczba epok=100, momentum=0.20.15932682267673975
Correctly Classified Instances 13687 84.0673 %
Incorrectly Classified Instances 2594 15.9327 %
Kappa statistic 0.4953
Mean absolute error 0.2131
Root mean squared error 0.3381
Relative absolute error 58.6516 %
Root relative squared error 79.5818 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=2, liczba epok=200, momentum=0.20.15846692463607887
Correctly Classified Instances 13701 84.1533 %
Incorrectly Classified Instances 2580 15.8467 %
Kappa statistic 0.4976
Mean absolute error 0.2126
Root mean squared error 0.3342
Relative absolute error 58.5285 %
Root relative squared error 78.683 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=2, liczba epok=300, momentum=0.20.15404459185553712
Correctly Classified Instances 13773 84.5955 %
Incorrectly Classified Instances 2508 15.4045 %
Kappa statistic 0.5213
Mean absolute error 0.2024
Root mean squared error 0.3345
Relative absolute error 55.7122 %
Root relative squared error 78.7342 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=2, liczba epok=400, momentum=0.20.15306185123763896
Correctly Classified Instances 13789 84.6938 %
Incorrectly Classified Instances 2492 15.3062 %
Kappa statistic 0.5261
Mean absolute error 0.2202
Root mean squared error 0.331
Relative absolute error 60.6246 %
Root relative squared error 77.9121 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=2, liczba epok=500, momentum=0.20.15564154535962166
Correctly Classified Instances 13747 84.4358 %
Incorrectly Classified Instances 2534 15.5642 %
Kappa statistic 0.5713
Mean absolute error 0.2217
Root mean squared error 0.3345
Relative absolute error 61.0167 %
Root relative squared error 78.7454 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=2, liczba epok=600, momentum=0.20.15035931453841903
Correctly Classified Instances 13833 84.9641 %
Incorrectly Classified Instances 2448 15.0359 %
Kappa statistic 0.5278
Mean absolute error 0.1995
Root mean squared error 0.3318
Relative absolute error 54.9294 %
Root relative squared error 78.104 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=2, liczba epok=700, momentum=0.20.1541674344327744
Correctly Classified Instances 13771 84.5833 %
Incorrectly Classified Instances 2510 15.4167 %
Kappa statistic 0.517
Mean absolute error 0.2064
Root mean squared error 0.3357
Relative absolute error 56.8117 %
Root relative squared error 79.0242 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=2, liczba epok=800, momentum=0.20.15214053190835944
Correctly Classified Instances 13804 84.7859 %
Incorrectly Classified Instances 2477 15.2141 %
Kappa statistic 0.5196
Mean absolute error 0.2065
Root mean squared error 0.33
Relative absolute error 56.8402 %
Root relative squared error 77.6882 %
Total Number of Instances 16281
Skutecznosc sieci z parametrami: wspolczynnik uczenia=0.2, liczba neuronow=2, liczba epok=900, momentum=0.2
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