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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 117165442
-H 2
-M 0.1
Input Weights:
-0.9362678395111546 0.47328153355311686
-0.3791669677853404 -0.31658596132277506
0.15389963939206597 0.25304580538395127
-0.4595193050465214 -0.42530058663812254
0.0670824537924537 -0.9792549195628031
0.4508772734277089 0.652416550668089
0.35156321897103227 0.5835812141571355
0.3679331190522175 -0.7153892573976535
-0.07944753864577025 -0.9655405690457086
0.15199164414446753 0.4848717083099048
0.9451522428919439 0.6289114467278127
0.9457095599596057 -0.03961137356227207
0.11725589576483486 0.7290105708326153
0.9982758556625115 -0.5591156406681332
0.5018368514225853 0.657414367153025
0.43256991618030627 -0.3723213390042013
0.43301240869515323 0.39830903003492146
0.3204601030808849 -0.975193324583624
0.07618248492589874 0.5764199801120398
-0.5408377203100214 -0.21850264722300716
-0.33735362386434664 -0.22326838285253503
0.5059884868224618 0.3330993232033308
-0.11965906415122873 -0.8838012039371561
-0.5087481227045312 0.5151843018899331
0.445429317490867 0.9683653088281328
-0.6053721234376823 0.47626122184281994
0.048847654765458604 -0.8599954668082166
-0.5122642551085139 0.25525239022750656
-0.6722014414826665 0.7169967188761142
-0.09232501858828979 0.5413188245504097
-0.4934905277898607 -0.31026958766128554
0.6690569137867277 -0.28977103469899745
0.22906221619080913 -0.36480492990102875
0.6257894313161456 -0.3585550488507572
0.8091944252695029 -0.1838110937005062
-0.8176660475913076 0.5654096971828741
0.6808794887167067 -0.4559617413854897
0.5949319746121216 0.8668552217488805
-0.12383552371609885 0.3699802818754869
-0.8922755148428869 -0.43322542970987077
-0.39611737437327177 -0.7042642010475348
-0.10815818327592464 0.4062082310004098
-0.23108168120772699 -0.25663299111515925
0.5962449221703341 -0.0638567523600817
0.964885483641156 0.3596050863965399
0.41993836350189384 0.7503133405483289
-0.9046582902395657 0.05552464830451953
-0.03752757635403747 0.5459763028426576
-0.5742981569888852 0.0475608648142678
-0.9665124789286865 0.7200286060696448
0.22928921775985267 -0.537006854782391
0.2762562886984439 0.9560556205594468
0.049674159748863245 0.5384801066094829
-0.5976754930301615 -0.9221904762573625
0.33455025220705714 0.1541051538669782
0.4057714752852648 -0.724393910211995
0.27459230727398176 -0.16849081672831567
0.03137920918744008 0.6874468599125652
-0.8315199564556139 0.15062130395692241
-0.44005178838087344 -0.1367511558565324
0.6907593747355818 0.4165812102190831
-0.46129762219622084 0.5791099794098125
-0.18559545272909084 0.2917561197942804
-0.8384844351555623 -0.8864956944886648
-0.31945978779190765 0.7961166858530901
0.6726448350837533 -0.1431085617236667
-0.14676369903999698 -0.2847700254869976
0.35260037955828905 0.0023914302905088114
-0.319193941061767 0.025082412369205498
-0.3867054168621544 0.1536248342320281
-0.9664339867774101 -0.2230630225309005
-0.40697518390813325 -0.32400260612013265
-0.27773286261022867 0.15728680426271535
0.8552297828984499 0.2928275099701436
-0.7641760750659006 -0.33472877404989987
0.6571505747096171 -0.8352792096055739
-0.020237036532512853 -0.1060064768145641
0.4080992232197036 -0.03980304173595428
-0.5500685952002466 0.9681068464050031
0.8683192603217864 0.29221876743166364
-0.6648418237302169 0.8266379877010506
-0.8215060215885497 0.5171689456288469
0.5971929925674964 -0.8601193839397088
0.6306428390568002 0.021917161463451906
0.4095704654624017 -0.5513653692976856
0.21102863879294254 0.6066216249341825
0.3260061340394036 -0.8068207837923049
0.22610060730154524 0.8452705321392506
0.16423395887238001 -0.418034614717955
-0.031498347379646185 -0.09410939191747358
0.39729463282899435 -0.9963143022187047
0.44060209858969035 -0.6352126454436469
-6.187064334972625E-4 -0.9775558143204519
-0.9795406402176248 0.27483543189605264
0.9493994539360244 0.3692938030617363
-0.13412074837139 -0.03883646609362601
-0.7018959067995048 -0.9467459583749
-0.613559566959369 -0.3732218829231664
0.7934890100222325 -0.596349251429545
-0.3052268774163791 0.35769560190186866
0.5672310308963202 0.009557190744315935
0.34463018799037815 0.11771142568376591
0.9393792506782894 -0.028656566402411654
0.48568467841389307 -0.9935267397909195
Hidden Weights:
-0.23139152759833959 0.7042528843882521
-0.21201862945633798 0.6863951471813268
Options: -E 0.5 -M 0.1 -I 500
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.5
-S 117165442
-H 2
-M 0.1
Input Weights:
-0.9362678395111546 0.47328153355311686
-0.3791669677853404 -0.31658596132277506
0.15389963939206597 0.25304580538395127
-0.4595193050465214 -0.42530058663812254
0.0670824537924537 -0.9792549195628031
0.4508772734277089 0.652416550668089
0.35156321897103227 0.5835812141571355
0.3679331190522175 -0.7153892573976535
-0.07944753864577025 -0.9655405690457086
0.15199164414446753 0.4848717083099048
0.9451522428919439 0.6289114467278127
0.9457095599596057 -0.03961137356227207
0.11725589576483486 0.7290105708326153
0.9982758556625115 -0.5591156406681332
0.5018368514225853 0.657414367153025
0.43256991618030627 -0.3723213390042013
0.43301240869515323 0.39830903003492146
0.3204601030808849 -0.975193324583624
0.07618248492589874 0.5764199801120398
-0.5408377203100214 -0.21850264722300716
-0.33735362386434664 -0.22326838285253503
0.5059884868224618 0.3330993232033308
-0.11965906415122873 -0.8838012039371561
-0.5087481227045312 0.5151843018899331
0.445429317490867 0.9683653088281328
-0.6053721234376823 0.47626122184281994
0.048847654765458604 -0.8599954668082166
-0.5122642551085139 0.25525239022750656
-0.6722014414826665 0.7169967188761142
-0.09232501858828979 0.5413188245504097
-0.4934905277898607 -0.31026958766128554
0.6690569137867277 -0.28977103469899745
0.22906221619080913 -0.36480492990102875
0.6257894313161456 -0.3585550488507572
0.8091944252695029 -0.1838110937005062
-0.8176660475913076 0.5654096971828741
0.6808794887167067 -0.4559617413854897
0.5949319746121216 0.8668552217488805
-0.12383552371609885 0.3699802818754869
-0.8922755148428869 -0.43322542970987077
-0.39611737437327177 -0.7042642010475348
-0.10815818327592464 0.4062082310004098
-0.23108168120772699 -0.25663299111515925
0.5962449221703341 -0.0638567523600817
0.964885483641156 0.3596050863965399
0.41993836350189384 0.7503133405483289
-0.9046582902395657 0.05552464830451953
-0.03752757635403747 0.5459763028426576
-0.5742981569888852 0.0475608648142678
-0.9665124789286865 0.7200286060696448
0.22928921775985267 -0.537006854782391
0.2762562886984439 0.9560556205594468
0.049674159748863245 0.5384801066094829
-0.5976754930301615 -0.9221904762573625
0.33455025220705714 0.1541051538669782
0.4057714752852648 -0.724393910211995
0.27459230727398176 -0.16849081672831567
0.03137920918744008 0.6874468599125652
-0.8315199564556139 0.15062130395692241
-0.44005178838087344 -0.1367511558565324
0.6907593747355818 0.4165812102190831
-0.46129762219622084 0.5791099794098125
-0.18559545272909084 0.2917561197942804
-0.8384844351555623 -0.8864956944886648
-0.31945978779190765 0.7961166858530901
0.6726448350837533 -0.1431085617236667
-0.14676369903999698 -0.2847700254869976
0.35260037955828905 0.0023914302905088114
-0.319193941061767 0.025082412369205498
-0.3867054168621544 0.1536248342320281
-0.9664339867774101 -0.2230630225309005
-0.40697518390813325 -0.32400260612013265
-0.27773286261022867 0.15728680426271535
0.8552297828984499 0.2928275099701436
-0.7641760750659006 -0.33472877404989987
0.6571505747096171 -0.8352792096055739
-0.020237036532512853 -0.1060064768145641
0.4080992232197036 -0.03980304173595428
-0.5500685952002466 0.9681068464050031
0.8683192603217864 0.29221876743166364
-0.6648418237302169 0.8266379877010506
-0.8215060215885497 0.5171689456288469
0.5971929925674964 -0.8601193839397088
0.6306428390568002 0.021917161463451906
0.4095704654624017 -0.5513653692976856
0.21102863879294254 0.6066216249341825
0.3260061340394036 -0.8068207837923049
0.22610060730154524 0.8452705321392506
0.16423395887238001 -0.418034614717955
-0.031498347379646185 -0.09410939191747358
0.39729463282899435 -0.9963143022187047
0.44060209858969035 -0.6352126454436469
-6.187064334972625E-4 -0.9775558143204519
-0.9795406402176248 0.27483543189605264
0.9493994539360244 0.3692938030617363
-0.13412074837139 -0.03883646609362601
-0.7018959067995048 -0.9467459583749
-0.613559566959369 -0.3732218829231664
0.7934890100222325 -0.596349251429545
-0.3052268774163791 0.35769560190186866
0.5672310308963202 0.009557190744315935
0.34463018799037815 0.11771142568376591
0.9393792506782894 -0.028656566402411654
0.48568467841389307 -0.9935267397909195
Hidden Weights:
-0.4745194114708252 0.2924609861814203
-0.45514651332693684 0.27460324897615956
=== Error on training data ===
Correctly Classified Instances 24720 75.919 %
Incorrectly Classified Instances 7841 24.081 %
Mean absolute error 0.4423
Root mean squared error 0.4524
Relative absolute error 120.9583 %
Root relative squared error 105.8096 %
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 0.4413
Root mean squared error 0.4513
Relative absolute error 121.4684 %
Root relative squared error 106.238 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
0 3846 | a = >50K
0 12435 | b = <=50K
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