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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 122585922
-H 2
-M 0.5
Input Weights:
-0.04154272727989183 -0.45701348874056014
-0.3560725955356605 0.39930267339404235
0.955160296207195 0.5039069108269827
-0.8957986354985032 -0.8807812456478659
0.7917763387352834 -0.5397688099251943
-0.35377019228537754 -0.7719685534897496
0.569992707611318 -0.1406439526912726
0.04486764837737667 0.9662389984398823
0.7343982726401026 -0.07876511860181634
0.6188155510110644 0.8420005602381868
-0.6000043269527486 -0.41200069351608093
0.04755644757455135 -0.13535936891200873
-0.984582987295114 0.3093783604414828
-0.9826122718493338 0.005511868628448768
0.0943568058357167 0.8160126052920575
0.41171846419457636 0.8127474591218493
0.10962291707360672 -0.5435262746343468
0.6807306428639985 -0.28143773490335655
0.03282360951307317 -0.6579786450737635
0.508298966755385 -0.77165676025362
-0.798736035580891 -0.3078157469388725
-0.5426958629218599 -0.7844921588284524
-0.4209299905747095 -0.015779609502441394
0.27948652424286635 0.9044517438819584
-0.4774043232128615 -0.7957775747896048
0.7278509469994219 -0.16093432737969238
-0.07474841496718776 -0.5553380434411057
0.5571741760636191 0.8332220245294619
0.26222660883754867 0.9038441019274226
-0.1660336331741088 -0.6969804405351414
0.3331078579026103 0.9721450097850075
-0.5623793901550413 -0.1971132478733606
-0.7441554422959047 0.3368618925768132
0.7995314788196755 0.4370753221983177
0.9382989555622234 -0.9554083500729238
0.42050212310335877 -0.9034099759700265
0.37698788809854156 -0.7863972546890445
0.7963652875220861 0.27488794602186495
0.83349206393979 -0.0812494857357402
-0.8212500858095777 0.23320956224398626
-0.561897097802992 0.8519377909486976
0.5574039670215949 -0.6986382038721601
-0.11796002681147111 0.20951925051242704
0.671269138835753 0.4891253412189873
0.49220740748700975 -0.7642832583293844
0.38016801725871074 0.817903409128151
0.6379245412699677 0.6631319073689173
0.8438407407940665 -0.07378419638900713
0.6930581969833116 0.486640786321765
-0.5097679921046046 0.7143839092616693
-0.1410370727631356 -0.02209025282278909
-0.6157911650577765 -0.17480941151612295
0.32679933329510824 0.330812097694714
-0.6511354688842241 0.4541462441145523
-0.6008941271591912 -0.0967723818554691
-0.094439097909774 -0.2153036049664021
-0.7293559666348051 -0.388098922474333
0.9909583454874289 0.7834715408812956
-0.24801761850303672 -0.08819946202385465
-0.4716905050796323 -0.7045382743563127
-0.035776339266881285 0.06107487831873515
0.6688252433144029 0.5694955532169874
0.1916757488959442 -0.5076509002978093
-0.886710382998924 -0.6649269303501768
-0.003186004390959285 0.3795346734827587
0.9543819963712099 0.25064546687753775
-0.6819577056989854 0.5491540779828725
0.3701859445980249 0.45280440177310144
0.6187269044988972 0.22271227404043437
0.01670721046265844 0.6512448786731952
0.8627131505394039 -0.4780342962844386
0.7232107137676878 -0.07475046574620836
0.8777345619781716 0.8958786239206051
0.043902945221675704 -0.6329870878450885
-0.15175245258668557 0.6541839761473387
-0.8382469584727528 -0.13766557099933818
0.6614710436807385 0.479121887117508
0.7176464324946632 0.5707618570875135
-0.3832664746531047 0.3391814991738935
0.33692590870183814 0.6296159827163332
-0.30566594922144463 -0.30464645000597135
-0.7242282127896349 -0.08232444612913903
0.8554612085266466 -0.33590784810495133
-0.11436138437607424 -0.3733994561840812
-0.5075123770318479 -0.8817935009558346
-0.9873259666227061 0.24712900192915455
-0.4538794631361036 0.1473423501818456
-0.6279734517074345 0.32214442240757535
-0.576854126877079 0.2873900107814167
-0.9307187463450581 -0.0169122433471387
-0.2496949913774682 0.23065505705994038
0.3317729558113309 0.49682672480109735
0.3443940984095546 0.9572715295488674
0.05379318723739601 0.5277038013636273
-0.6820702313351448 -0.6617899448709075
-0.3119395785872874 -0.12148769022019379
-0.18061683052358224 0.0501567391867106
0.4113383827487369 -0.47719729082231677
-0.033499059864434244 0.25509551587940504
-0.7214072206585553 -0.21884838862565337
-0.396189075884382 0.9189434478873568
-0.4748449660801761 -0.37846498523466
-0.27199772226214103 -0.7958582124852449
0.3913320141582899 0.9681919093125244
Hidden Weights:
-0.7161467265740631 -0.6324567551219764
-0.5035091537686225 0.31467844196293604
Options: -E 0.1 -M 0.5 -I 500
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.1
-S 122585922
-H 2
-M 0.5
Input Weights:
-0.04154272727989183 -0.45701348874056014
-0.3560725955356605 0.39930267339404235
0.955160296207195 0.5039069108269827
-0.8957986354985032 -0.8807812456478659
0.7917763387352834 -0.5397688099251943
-0.35377019228537754 -0.7719685534897496
0.569992707611318 -0.1406439526912726
0.04486764837737667 0.9662389984398823
0.7343982726401026 -0.07876511860181634
0.6188155510110644 0.8420005602381868
-0.6000043269527486 -0.41200069351608093
0.04755644757455135 -0.13535936891200873
-0.984582987295114 0.3093783604414828
-0.9826122718493338 0.005511868628448768
0.0943568058357167 0.8160126052920575
0.41171846419457636 0.8127474591218493
0.10962291707360672 -0.5435262746343468
0.6807306428639985 -0.28143773490335655
0.03282360951307317 -0.6579786450737635
0.508298966755385 -0.77165676025362
-0.798736035580891 -0.3078157469388725
-0.5426958629218599 -0.7844921588284524
-0.4209299905747095 -0.015779609502441394
0.27948652424286635 0.9044517438819584
-0.4774043232128615 -0.7957775747896048
0.7278509469994219 -0.16093432737969238
-0.07474841496718776 -0.5553380434411057
0.5571741760636191 0.8332220245294619
0.26222660883754867 0.9038441019274226
-0.1660336331741088 -0.6969804405351414
0.3331078579026103 0.9721450097850075
-0.5623793901550413 -0.1971132478733606
-0.7441554422959047 0.3368618925768132
0.7995314788196755 0.4370753221983177
0.9382989555622234 -0.9554083500729238
0.42050212310335877 -0.9034099759700265
0.37698788809854156 -0.7863972546890445
0.7963652875220861 0.27488794602186495
0.83349206393979 -0.0812494857357402
-0.8212500858095777 0.23320956224398626
-0.561897097802992 0.8519377909486976
0.5574039670215949 -0.6986382038721601
-0.11796002681147111 0.20951925051242704
0.671269138835753 0.4891253412189873
0.49220740748700975 -0.7642832583293844
0.38016801725871074 0.817903409128151
0.6379245412699677 0.6631319073689173
0.8438407407940665 -0.07378419638900713
0.6930581969833116 0.486640786321765
-0.5097679921046046 0.7143839092616693
-0.1410370727631356 -0.02209025282278909
-0.6157911650577765 -0.17480941151612295
0.32679933329510824 0.330812097694714
-0.6511354688842241 0.4541462441145523
-0.6008941271591912 -0.0967723818554691
-0.094439097909774 -0.2153036049664021
-0.7293559666348051 -0.388098922474333
0.9909583454874289 0.7834715408812956
-0.24801761850303672 -0.08819946202385465
-0.4716905050796323 -0.7045382743563127
-0.035776339266881285 0.06107487831873515
0.6688252433144029 0.5694955532169874
0.1916757488959442 -0.5076509002978093
-0.886710382998924 -0.6649269303501768
-0.003186004390959285 0.3795346734827587
0.9543819963712099 0.25064546687753775
-0.6819577056989854 0.5491540779828725
0.3701859445980249 0.45280440177310144
0.6187269044988972 0.22271227404043437
0.01670721046265844 0.6512448786731952
0.8627131505394039 -0.4780342962844386
0.7232107137676878 -0.07475046574620836
0.8777345619781716 0.8958786239206051
0.043902945221675704 -0.6329870878450885
-0.15175245258668557 0.6541839761473387
-0.8382469584727528 -0.13766557099933818
0.6614710436807385 0.479121887117508
0.7176464324946632 0.5707618570875135
-0.3832664746531047 0.3391814991738935
0.33692590870183814 0.6296159827163332
-0.30566594922144463 -0.30464645000597135
-0.7242282127896349 -0.08232444612913903
0.8554612085266466 -0.33590784810495133
-0.11436138437607424 -0.3733994561840812
-0.5075123770318479 -0.8817935009558346
-0.9873259666227061 0.24712900192915455
-0.4538794631361036 0.1473423501818456
-0.6279734517074345 0.32214442240757535
-0.576854126877079 0.2873900107814167
-0.9307187463450581 -0.0169122433471387
-0.2496949913774682 0.23065505705994038
0.3317729558113309 0.49682672480109735
0.3443940984095546 0.9572715295488674
0.05379318723739601 0.5277038013636273
-0.6820702313351448 -0.6617899448709075
-0.3119395785872874 -0.12148769022019379
-0.18061683052358224 0.0501567391867106
0.4113383827487369 -0.47719729082231677
-0.033499059864434244 0.25509551587940504
-0.7214072206585553 -0.21884838862565337
-0.396189075884382 0.9189434478873568
-0.4748449660801761 -0.37846498523466
-0.27199772226214103 -0.7958582124852449
0.3913320141582899 0.9681919093125244
Hidden Weights:
-0.948307962035493 -0.3020541772572362
-0.7356703892286133 0.6450810198294509
=== Error on training data ===
Correctly Classified Instances 24720 75.919 %
Incorrectly Classified Instances 7841 24.081 %
Mean absolute error 0.3887
Root mean squared error 0.4299
Relative absolute error 106.3157 %
Root relative squared error 100.5417 %
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 0.3868
Root mean squared error 0.4276
Relative absolute error 106.4694 %
Root relative squared error 100.6613 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
0 3846 | a = >50K
0 12435 | b = <=50K
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