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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.5
-S 102671797
-H 2
-M 0.3
Input Weights:
0.8930407410751793 -0.6921795464982121
-0.007952671137428036 -0.9733058041370997
0.742534345576283 -0.03265102732445446
-0.11849239004858036 0.5094094865250454
0.6088485215691606 -0.2395551556407851
-0.24788776193280637 0.5214559840550175
0.06178158680668688 -0.06033547961482855
-0.5650243923487626 -0.6652428281882208
-0.21052357139288524 0.2256159093563459
-0.9480776731632776 0.9044466582773489
0.691820141938877 -0.4510836157293241
0.9516059289689602 0.8019123084534281
-0.9346155959456834 0.68631604547461
-0.8198047605391694 0.20710605896496204
-0.5560826151083138 -0.1219825374847443
-0.7944508337146721 0.8850760500449015
0.3929926966507067 -0.7877629917573457
0.4872524072759197 0.819214014905397
-0.6661110013655851 0.8459272072931348
-0.18475530862678058 -0.41579015689840904
-0.2001255433621203 -0.4772923952385293
-0.4413131454294035 -0.06256563109800584
0.3863248753227646 0.09457387788163496
0.2245574502067098 0.2794457159329249
-0.008225924052936762 0.31575934756598145
0.39140496179987005 0.3422995776987965
-0.8239014388970802 0.7368551402285901
0.24558495486248 0.9368547618889591
0.9693396926234847 0.4853396328475288
0.9118259208255244 0.024569297261152867
-0.8963183593135098 0.6941714360420839
0.5624876404606649 -0.5586080702234861
-0.7659013047261476 0.6709470970116567
-0.8454632235068396 0.9260399862984547
0.5511742531838788 0.1429625303860853
-0.4570386608568664 0.7957255381970221
0.5323455875371232 -0.6562703487018713
0.8357172793623455 0.7415208955895085
0.1538543093855318 -0.18176711703250348
0.08873577034781865 0.32405095256359906
-0.6077477663034254 0.8303517290011615
-0.09083612163955457 -0.6521659328555294
-0.5525618895211457 -0.4119327139104403
-0.9212506143572567 0.3578775472496558
0.9536512449688301 -0.6892981950350021
-0.016241884106764637 0.982335231371257
-0.8858641733703605 -0.18334575620202087
0.21841577610989749 0.1561699075773746
0.771583724095019 0.8977785838299379
-0.7902595319602845 0.7875945438594485
-0.049023885303472126 -0.4256506282543022
0.805663071344658 0.025114124253359682
0.3938435682833916 -0.5821421247418059
0.40716606046604875 -0.22948480569729623
-0.47823532004255775 -0.2681729102618835
0.05919282816597904 0.753170499795883
0.5693903683814108 0.45630944225106007
-0.18656613457180837 -0.40668996128162793
0.22943151908487347 -0.6086145968583965
-0.7733290599190299 0.5649652310895852
-0.06135535457684593 0.6191979430051213
-0.13220202674752768 -0.0796043483694584
0.2584140499562064 0.9619819000540786
-0.299671305294418 -0.17703616349237716
0.9883188899052038 0.7830678254056966
-0.07071658439507744 0.28940508068979853
-0.5128886653198048 0.47559799023006866
0.8147175339318393 0.6687600183950921
0.9225789819535073 -0.6349222476516236
-0.2595540034333619 -0.3438398646783325
0.05833800002993339 -0.5289596675537984
-0.11387340112770783 0.6962035039717547
0.9089709857923782 0.34291547798657285
-0.19706940537098494 -0.1174146338534432
-0.17890562355144501 0.9373076145990338
-0.6245616056471224 0.5864824085374665
0.9016890726961864 0.888690579642833
0.621798414441636 0.49318643009730634
0.31986263117946034 0.41216356687015554
-0.1840372598010227 -0.5893351031329213
0.9264006878362603 -0.9467334689820606
-0.9958918715128757 -0.980144295391356
-0.5919728997238278 0.37257456805151956
0.3450552709751338 0.01809612043218345
-0.6700138293816167 0.9472610611350809
0.26325364340232826 0.18640909446587206
-0.1000909078724792 -0.46781512119295376
-0.6869075965357119 0.5794378510502305
0.05519031551921394 -0.6877923637745127
0.28407481342616747 0.05339868537805237
-0.04870390817968029 0.577018635184499
-0.4843601773994646 0.9410266672841103
0.49432371514268847 -0.739861797759662
0.9447736887678482 0.050385792049014944
0.07123686249075067 0.2241130259102755
0.10441798954427184 -0.027379796161761005
0.9077933811251835 0.28211114952500194
0.3701850877412698 0.5670008566782896
-0.18173648731690095 0.2788033460384134
0.17993285066867992 0.5534884618333613
-0.23761863366937797 0.38597578215917294
-0.09303462477897728 0.4557554206318044
0.3220935883839875 -0.4051053214646889
-0.5465936003095262 0.24220015189976074
Hidden Weights:
0.5647788362608468 -0.5812855617428434
0.7972537837743372 0.5079732714673451
Options: -E 0.5 -I 500
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.5
-S 102671797
-H 2
-M 0.3
Input Weights:
0.8930407410751793 -0.6921795464982121
-0.007952671137428036 -0.9733058041370997
0.742534345576283 -0.03265102732445446
-0.11849239004858036 0.5094094865250454
0.6088485215691606 -0.2395551556407851
-0.24788776193280637 0.5214559840550175
0.06178158680668688 -0.06033547961482855
-0.5650243923487626 -0.6652428281882208
-0.21052357139288524 0.2256159093563459
-0.9480776731632776 0.9044466582773489
0.691820141938877 -0.4510836157293241
0.9516059289689602 0.8019123084534281
-0.9346155959456834 0.68631604547461
-0.8198047605391694 0.20710605896496204
-0.5560826151083138 -0.1219825374847443
-0.7944508337146721 0.8850760500449015
0.3929926966507067 -0.7877629917573457
0.4872524072759197 0.819214014905397
-0.6661110013655851 0.8459272072931348
-0.18475530862678058 -0.41579015689840904
-0.2001255433621203 -0.4772923952385293
-0.4413131454294035 -0.06256563109800584
0.3863248753227646 0.09457387788163496
0.2245574502067098 0.2794457159329249
-0.008225924052936762 0.31575934756598145
0.39140496179987005 0.3422995776987965
-0.8239014388970802 0.7368551402285901
0.24558495486248 0.9368547618889591
0.9693396926234847 0.4853396328475288
0.9118259208255244 0.024569297261152867
-0.8963183593135098 0.6941714360420839
0.5624876404606649 -0.5586080702234861
-0.7659013047261476 0.6709470970116567
-0.8454632235068396 0.9260399862984547
0.5511742531838788 0.1429625303860853
-0.4570386608568664 0.7957255381970221
0.5323455875371232 -0.6562703487018713
0.8357172793623455 0.7415208955895085
0.1538543093855318 -0.18176711703250348
0.08873577034781865 0.32405095256359906
-0.6077477663034254 0.8303517290011615
-0.09083612163955457 -0.6521659328555294
-0.5525618895211457 -0.4119327139104403
-0.9212506143572567 0.3578775472496558
0.9536512449688301 -0.6892981950350021
-0.016241884106764637 0.982335231371257
-0.8858641733703605 -0.18334575620202087
0.21841577610989749 0.1561699075773746
0.771583724095019 0.8977785838299379
-0.7902595319602845 0.7875945438594485
-0.049023885303472126 -0.4256506282543022
0.805663071344658 0.025114124253359682
0.3938435682833916 -0.5821421247418059
0.40716606046604875 -0.22948480569729623
-0.47823532004255775 -0.2681729102618835
0.05919282816597904 0.753170499795883
0.5693903683814108 0.45630944225106007
-0.18656613457180837 -0.40668996128162793
0.22943151908487347 -0.6086145968583965
-0.7733290599190299 0.5649652310895852
-0.06135535457684593 0.6191979430051213
-0.13220202674752768 -0.0796043483694584
0.2584140499562064 0.9619819000540786
-0.299671305294418 -0.17703616349237716
0.9883188899052038 0.7830678254056966
-0.07071658439507744 0.28940508068979853
-0.5128886653198048 0.47559799023006866
0.8147175339318393 0.6687600183950921
0.9225789819535073 -0.6349222476516236
-0.2595540034333619 -0.3438398646783325
0.05833800002993339 -0.5289596675537984
-0.11387340112770783 0.6962035039717547
0.9089709857923782 0.34291547798657285
-0.19706940537098494 -0.1174146338534432
-0.17890562355144501 0.9373076145990338
-0.6245616056471224 0.5864824085374665
0.9016890726961864 0.888690579642833
0.621798414441636 0.49318643009730634
0.31986263117946034 0.41216356687015554
-0.1840372598010227 -0.5893351031329213
0.9264006878362603 -0.9467334689820606
-0.9958918715128757 -0.980144295391356
-0.5919728997238278 0.37257456805151956
0.3450552709751338 0.01809612043218345
-0.6700138293816167 0.9472610611350809
0.26325364340232826 0.18640909446587206
-0.1000909078724792 -0.46781512119295376
-0.6869075965357119 0.5794378510502305
0.05519031551921394 -0.6877923637745127
0.28407481342616747 0.05339868537805237
-0.04870390817968029 0.577018635184499
-0.4843601773994646 0.9410266672841103
0.49432371514268847 -0.739861797759662
0.9447736887678482 0.050385792049014944
0.07123686249075067 0.2241130259102755
0.10441798954427184 -0.027379796161761005
0.9077933811251835 0.28211114952500194
0.3701850877412698 0.5670008566782896
-0.18173648731690095 0.2788033460384134
0.17993285066867992 0.5534884618333613
-0.23761863366937797 0.38597578215917294
-0.09303462477897728 0.4557554206318044
0.3220935883839875 -0.4051053214646889
-0.5465936003095262 0.24220015189976074
Hidden Weights:
0.5647788362608468 -0.5812855617428434
-0.6476529931625205 0.7643861575250894
=== Error on training data ===
Correctly Classified Instances 24720 75.919 %
Incorrectly Classified Instances 7841 24.081 %
Mean absolute error 0.34
Root mean squared error 0.4304
Relative absolute error 92.9756 %
Root relative squared error 100.6687 %
Total Number of Instances 32561
=== Confusion Matrix ===
a b <-- classified as
0 7841 | a = >50K
0 24720 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 12435 76.3774 %
Incorrectly Classified Instances 3846 23.6226 %
Mean absolute error 0.3371
Root mean squared error 0.4271
Relative absolute error 92.8047 %
Root relative squared error 100.5524 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
0 3846 | a = >50K
0 12435 | b = <=50K
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