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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.1
-S 98504587
-H 2
-M 0.3
Input Weights:
-0.8257630546348664 0.011357721489799966
0.13398540249846413 0.12760451512150728
-0.599194532677011 -0.7829832489399167
-0.6911034498928954 0.266627159039202
-0.030925733014809387 0.2640979949933544
0.8221385110368638 0.7172988809462668
0.05816965577268163 -0.22294979476670274
0.30784949230350955 0.9683342324863005
-0.8171389655209855 -0.9236466620205006
-0.015258369048458231 0.4502276427837566
0.757150413707713 0.06947434548333509
0.12965875367159785 -0.9136437698182143
0.278280212956161 0.9957873068954999
0.28931721371947305 -0.9602669587890837
-0.5993506953135954 0.2131403157304872
0.48736323901447287 -0.08512753558989594
0.09482271823511468 -0.8028717716114977
-0.905377084128441 0.3062298761661131
-0.022759548148532538 0.8907802655866428
-0.561886212464356 0.08373561587636158
0.5580117620410237 -0.8104326610137143
0.9825426884482444 -0.708787059004095
-0.8872845347422358 -0.15961584128156625
-0.651100913075318 -0.15716658879577006
-0.11644468377748529 0.5082365294845357
0.32938509174493835 0.39286504126308075
0.8184299222913933 0.8242778967225595
0.17606257537439918 0.600197388705779
-0.25488413810212385 -0.5541431796037919
0.010766937089061512 -0.494373226808807
-0.8477883242306801 -0.4256235303249636
-0.5767039034585149 0.5995415654342708
-0.7720976733056224 -2.107399898201301E-4
-0.14035031002326148 0.31210435640741974
-0.1701447330260364 -0.9500225271875224
0.8869353878192532 0.7576765033747039
-0.8186961078329649 0.2663610559349463
0.9599870136027271 0.4792072586011209
0.5849932967866012 -0.8801502156757268
0.9790236928893368 -0.7454881447039627
-0.18769817351856166 -0.49151985703125534
-0.7411669226600426 -0.4485759602880697
0.2724007041213308 -0.5067361668811585
0.03775092840549821 -0.5218749761341457
0.02741074389173881 -0.9458081405970982
0.3176508639140445 0.8126591146129625
0.344553901213436 -0.6250001468246988
0.5915155309303866 -0.6253599020971332
-0.8655834100141533 0.052972099441978004
0.2989512283497575 0.30406993314724584
-0.5964678999361259 0.9072614155060867
-0.9630026856750071 -0.8625744352099995
0.0561935609775972 0.9231921717078173
0.49728331496193956 -0.4611417509929585
0.04011373814797636 -0.013187842256754179
-0.37672979588882116 0.49238653428796164
0.18739879851143515 -0.9316688540522728
-0.12601159602172607 0.2459873998388138
-0.8808132958363917 -0.4914559156715803
0.0031240607271567633 0.595891594427939
-0.559141398560359 -0.8788483773172691
0.14301899895545556 -0.2966908489224671
0.05535716552898573 0.48707677268721206
-0.08059396904222105 0.7591400377406186
0.8839755364280586 -0.40580389627369073
0.9805164072508392 -0.11339619505749554
0.4449057349502883 -0.15412298889705522
0.8383316217624801 0.8475424034248515
-0.34349752173545167 -0.6283983724667523
0.893730019589992 0.7645490458462247
0.6800076825472441 -0.06122066780888069
0.5233573409061476 0.2759502667202369
0.5895431258622092 0.9713706582486168
0.1852525838311545 -0.3893491318934543
0.8683977965192551 0.0816785190306406
0.6623463007108585 0.030339745885322955
0.1116565803636076 0.9388770069672787
0.28643605521945514 0.18168550705577524
0.516426547840809 0.5225554789333493
-0.282600162983212 -0.9061840350854218
-0.36854217738509876 -0.8984736587525115
0.509243700072237 0.028214689617544364
0.005720456039562061 0.3658890052155621
-0.8391320086402263 -0.9604259090601193
-0.3728789324455546 -0.27886848505882567
0.9786839755817893 -0.9437442181996414
0.9034240167803365 0.9928960622324838
-0.8073072303151254 0.3757158899246227
0.15171052266767804 0.824702839454921
-0.8416367443069326 -0.24979942567447888
-0.40673247071224305 -0.5180655506865823
-0.09662142212421143 -0.5134123743582164
0.3792765098901778 -0.8240047683491212
0.9695845925677535 -0.8044057010371828
-0.4005304138054464 0.43379116406970053
-0.34647499274343363 -0.28742920334009137
-0.8298277877838107 -0.530706050973091
0.029809855296084153 -0.793599082618285
0.29774941995701676 -0.5555274983715888
0.1849976059681906 0.24502172374750075
0.42506071266342893 -0.616439047617708
-8.05409794111478E-4 -0.5351029237477927
-0.532510569524101 -0.7565001827562483
-0.3395472474361234 0.08532335925805845
Hidden Weights:
-0.5757059978296464 -0.3766475138774621
0.3363542235697834 0.2286081080465301
Options: -E 0.1 -I 500
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.1
-S 98504587
-H 2
-M 0.3
Input Weights:
-0.8257630546348664 0.011357721489799966
0.13398540249846413 0.12760451512150728
-0.599194532677011 -0.7829832489399167
-0.6911034498928954 0.266627159039202
-0.030925733014809387 0.2640979949933544
0.8221385110368638 0.7172988809462668
0.05816965577268163 -0.22294979476670274
0.30784949230350955 0.9683342324863005
-0.8171389655209855 -0.9236466620205006
-0.015258369048458231 0.4502276427837566
0.757150413707713 0.06947434548333509
0.12965875367159785 -0.9136437698182143
0.278280212956161 0.9957873068954999
0.28931721371947305 -0.9602669587890837
-0.5993506953135954 0.2131403157304872
0.48736323901447287 -0.08512753558989594
0.09482271823511468 -0.8028717716114977
-0.905377084128441 0.3062298761661131
-0.022759548148532538 0.8907802655866428
-0.561886212464356 0.08373561587636158
0.5580117620410237 -0.8104326610137143
0.9825426884482444 -0.708787059004095
-0.8872845347422358 -0.15961584128156625
-0.651100913075318 -0.15716658879577006
-0.11644468377748529 0.5082365294845357
0.32938509174493835 0.39286504126308075
0.8184299222913933 0.8242778967225595
0.17606257537439918 0.600197388705779
-0.25488413810212385 -0.5541431796037919
0.010766937089061512 -0.494373226808807
-0.8477883242306801 -0.4256235303249636
-0.5767039034585149 0.5995415654342708
-0.7720976733056224 -2.107399898201301E-4
-0.14035031002326148 0.31210435640741974
-0.1701447330260364 -0.9500225271875224
0.8869353878192532 0.7576765033747039
-0.8186961078329649 0.2663610559349463
0.9599870136027271 0.4792072586011209
0.5849932967866012 -0.8801502156757268
0.9790236928893368 -0.7454881447039627
-0.18769817351856166 -0.49151985703125534
-0.7411669226600426 -0.4485759602880697
0.2724007041213308 -0.5067361668811585
0.03775092840549821 -0.5218749761341457
0.02741074389173881 -0.9458081405970982
0.3176508639140445 0.8126591146129625
0.344553901213436 -0.6250001468246988
0.5915155309303866 -0.6253599020971332
-0.8655834100141533 0.052972099441978004
0.2989512283497575 0.30406993314724584
-0.5964678999361259 0.9072614155060867
-0.9630026856750071 -0.8625744352099995
0.0561935609775972 0.9231921717078173
0.49728331496193956 -0.4611417509929585
0.04011373814797636 -0.013187842256754179
-0.37672979588882116 0.49238653428796164
0.18739879851143515 -0.9316688540522728
-0.12601159602172607 0.2459873998388138
-0.8808132958363917 -0.4914559156715803
0.0031240607271567633 0.595891594427939
-0.559141398560359 -0.8788483773172691
0.14301899895545556 -0.2966908489224671
0.05535716552898573 0.48707677268721206
-0.08059396904222105 0.7591400377406186
0.8839755364280586 -0.40580389627369073
0.9805164072508392 -0.11339619505749554
0.4449057349502883 -0.15412298889705522
0.8383316217624801 0.8475424034248515
-0.34349752173545167 -0.6283983724667523
0.893730019589992 0.7645490458462247
0.6800076825472441 -0.06122066780888069
0.5233573409061476 0.2759502667202369
0.5895431258622092 0.9713706582486168
0.1852525838311545 -0.3893491318934543
0.8683977965192551 0.0816785190306406
0.6623463007108585 0.030339745885322955
0.1116565803636076 0.9388770069672787
0.28643605521945514 0.18168550705577524
0.516426547840809 0.5225554789333493
-0.282600162983212 -0.9061840350854218
-0.36854217738509876 -0.8984736587525115
0.509243700072237 0.028214689617544364
0.005720456039562061 0.3658890052155621
-0.8391320086402263 -0.9604259090601193
-0.3728789324455546 -0.27886848505882567
0.9786839755817893 -0.9437442181996414
0.9034240167803365 0.9928960622324838
-0.8073072303151254 0.3757158899246227
0.15171052266767804 0.824702839454921
-0.8416367443069326 -0.24979942567447888
-0.40673247071224305 -0.5180655506865823
-0.09662142212421143 -0.5134123743582164
0.3792765098901778 -0.8240047683491212
0.9695845925677535 -0.8044057010371828
-0.4005304138054464 0.43379116406970053
-0.34647499274343363 -0.28742920334009137
-0.8298277877838107 -0.530706050973091
0.029809855296084153 -0.793599082618285
0.29774941995701676 -0.5555274983715888
0.1849976059681906 0.24502172374750075
0.42506071266342893 -0.616439047617708
-8.05409794111478E-4 -0.5351029237477927
-0.532510569524101 -0.7565001827562483
-0.3395472474361234 0.08532335925805845
Hidden Weights:
-0.5757059978296464 -0.3766475138774621
-2.9629486564696577 2.9629486564696728
=== Error on training data ===
Correctly Classified Instances 24831 76.2599 %
Incorrectly Classified Instances 7730 23.7401 %
Mean absolute error 0.4042
Root mean squared error 0.4329
Relative absolute error 110.5421 %
Root relative squared error 101.2438 %
Total Number of Instances 32561
=== Confusion Matrix ===
a b <-- classified as
112 7729 | a = >50K
1 24719 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 12494 76.7398 %
Incorrectly Classified Instances 3787 23.2602 %
Mean absolute error 0.4024
Root mean squared error 0.4309
Relative absolute error 110.774 %
Root relative squared error 101.4272 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
59 3787 | a = >50K
0 12435 | b = <=50K
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