|
|
Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.5
-S 97863892
-H 2
-M 0.3
Input Weights:
0.33481761779620633 0.3607330532541053
0.12550012011387457 -0.3574500324616863
0.4281934309224096 0.5289417291296752
0.9611861888403623 0.12506691242400758
-0.3844408168725739 -0.9585271682330831
-0.38070512789549116 0.09938733466926952
0.846315169478056 0.6940984975081401
-0.3739275326307685 -0.8402007804997367
0.5239951340508806 -0.724149347509967
-0.5576926790366648 0.8639547746736038
-0.4124179035129505 -0.8149539796061755
-0.8611317933647751 -0.32811884550216885
0.9054459274052415 -0.12865629981674198
0.9286254034519523 -0.6684132499016202
-0.513566855551232 0.6748881188418261
0.4205083639656051 0.947283458104544
0.6655995456134836 -0.22339394167662618
-0.03115163488206707 -0.8317204580920057
0.32345211474192737 -0.8623897159714149
0.009654026047325903 0.7425135495820556
-0.228818395546855 -0.007621520084110545
0.8382817495365962 -0.42517462439528386
-0.05219578729823304 -0.7343793355293387
-0.4829598198550369 0.2464742606405892
-0.36028864613153155 -0.6040256643032555
0.2273126531417431 -0.6370551677194576
0.5039374827952334 0.7540834449807892
-0.28675180653693566 -0.8806955789210331
-0.447684552504783 -0.9848307437133552
-0.08883853411336529 0.9676244127089362
-0.4228145425392775 -0.5424010100203271
0.42244970534465565 -0.5556766392435246
0.7567749825331953 0.7736505719422249
-0.7362183485174141 -0.8844316922067899
0.6998611337661422 0.2548635092321627
-0.9940043610318601 -0.38134870639728513
-0.3513158084236463 -0.5959901684613127
-0.2242405322219223 0.15287781833707315
0.9738835839917539 -0.5254819152562948
-0.9814457485557684 0.08503431901516478
-0.1731974165043093 0.08559090838737804
0.8786425731182781 -0.9942259495515826
-0.43206575788023094 -0.059523988702609554
0.6058275170958476 0.37185246665489613
0.9143844635243104 -0.5866664296653401
-0.2917951127720526 -0.5936173510240133
-0.463410063987848 -0.9124047879265687
-0.613294039971749 -0.8397552732657461
-0.17852557198577967 -0.45991881643905996
0.9567330275458823 -0.6386964605805938
0.7858361247220453 0.17864015726204974
0.9240480072606609 0.03673714047882504
-0.40614055868333265 0.7586480063336751
0.669498286296911 -0.12610997535805146
0.07381403493731997 0.4210566978713499
-0.5628998577953359 -0.7832869041236805
0.15257133518391863 0.4012718836999467
-0.2668449044654946 0.6518662061261258
0.6876109438910474 -0.26283951079309387
0.14489936141913695 -0.16148131592607884
0.07353727994232906 -0.2670960593012639
0.8838866576670603 -0.05988570456634568
-0.12364661321264481 0.08391852681729195
0.5538313876587224 0.4299483250976037
-0.9098217968926916 -0.49888374403333935
-0.669304675440511 0.714166244742394
0.24781966134606104 -0.45141913876564876
-0.8861574166422641 0.8383095203485345
-0.7775412215045632 0.9792369794530045
-0.4556866471120924 0.25313749425206034
0.1502366831765063 -0.036001700016267346
-0.0333662269151469 -0.7077811055446932
0.3440953910749762 0.7006490432806936
-0.595210795353329 0.5815441214476815
-0.4371157311052174 -0.5074609851205347
-0.004508034077261414 -0.6722659157178132
-0.40466819950752964 -0.3689816982366567
-0.2691192284123318 -0.5723531776288924
0.20857836472434133 0.5200964728596484
-0.9397566744688293 -0.9366203658222576
-0.6681045464286883 -0.7384561266335847
0.2319666950503736 -0.8083304059402721
-0.521938134408573 0.28175829080174664
0.16213984241173462 -0.2519215070116765
-0.7285500331461012 0.03015262097071969
0.12826356299050623 0.9504427729823712
-0.6792182819846526 0.9082835783170276
-0.6676801692417167 -0.36704700351979547
-0.8429367589897205 -0.41111361160798365
-0.9222831600468537 -0.25427577657466016
-0.49151381164856933 -0.9623847139193651
-0.7261900278430375 -0.9675866611549313
0.6029130888376728 -0.2654391990018543
-0.3719910339572452 0.3116551178570599
-0.382471838478587 0.7782317856324521
0.2108661570482253 0.9419033463830617
0.8206560186499414 -0.6938996419612251
0.17970886317478985 0.9925101733044146
-0.29728611736654265 -0.35878052752977396
0.010776736083833116 0.7691281700792727
0.6455869348717274 0.02578432999651925
-0.5983371707496661 -0.11489541423418137
-0.050010004077960746 -0.9244723061870492
-0.5579183667777889 0.612540321346408
Hidden Weights:
-0.8176929202758849 -0.7890759599162342
0.5972134330987804 -0.5540564895695006
Options: -E 0.5
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.5
-S 97863892
-H 2
-M 0.3
Input Weights:
0.33481761779620633 0.3607330532541053
0.12550012011387457 -0.3574500324616863
0.4281934309224096 0.5289417291296752
0.9611861888403623 0.12506691242400758
-0.3844408168725739 -0.9585271682330831
-0.38070512789549116 0.09938733466926952
0.846315169478056 0.6940984975081401
-0.3739275326307685 -0.8402007804997367
0.5239951340508806 -0.724149347509967
-0.5576926790366648 0.8639547746736038
-0.4124179035129505 -0.8149539796061755
-0.8611317933647751 -0.32811884550216885
0.9054459274052415 -0.12865629981674198
0.9286254034519523 -0.6684132499016202
-0.513566855551232 0.6748881188418261
0.4205083639656051 0.947283458104544
0.6655995456134836 -0.22339394167662618
-0.03115163488206707 -0.8317204580920057
0.32345211474192737 -0.8623897159714149
0.009654026047325903 0.7425135495820556
-0.228818395546855 -0.007621520084110545
0.8382817495365962 -0.42517462439528386
-0.05219578729823304 -0.7343793355293387
-0.4829598198550369 0.2464742606405892
-0.36028864613153155 -0.6040256643032555
0.2273126531417431 -0.6370551677194576
0.5039374827952334 0.7540834449807892
-0.28675180653693566 -0.8806955789210331
-0.447684552504783 -0.9848307437133552
-0.08883853411336529 0.9676244127089362
-0.4228145425392775 -0.5424010100203271
0.42244970534465565 -0.5556766392435246
0.7567749825331953 0.7736505719422249
-0.7362183485174141 -0.8844316922067899
0.6998611337661422 0.2548635092321627
-0.9940043610318601 -0.38134870639728513
-0.3513158084236463 -0.5959901684613127
-0.2242405322219223 0.15287781833707315
0.9738835839917539 -0.5254819152562948
-0.9814457485557684 0.08503431901516478
-0.1731974165043093 0.08559090838737804
0.8786425731182781 -0.9942259495515826
-0.43206575788023094 -0.059523988702609554
0.6058275170958476 0.37185246665489613
0.9143844635243104 -0.5866664296653401
-0.2917951127720526 -0.5936173510240133
-0.463410063987848 -0.9124047879265687
-0.613294039971749 -0.8397552732657461
-0.17852557198577967 -0.45991881643905996
0.9567330275458823 -0.6386964605805938
0.7858361247220453 0.17864015726204974
0.9240480072606609 0.03673714047882504
-0.40614055868333265 0.7586480063336751
0.669498286296911 -0.12610997535805146
0.07381403493731997 0.4210566978713499
-0.5628998577953359 -0.7832869041236805
0.15257133518391863 0.4012718836999467
-0.2668449044654946 0.6518662061261258
0.6876109438910474 -0.26283951079309387
0.14489936141913695 -0.16148131592607884
0.07353727994232906 -0.2670960593012639
0.8838866576670603 -0.05988570456634568
-0.12364661321264481 0.08391852681729195
0.5538313876587224 0.4299483250976037
-0.9098217968926916 -0.49888374403333935
-0.669304675440511 0.714166244742394
0.24781966134606104 -0.45141913876564876
-0.8861574166422641 0.8383095203485345
-0.7775412215045632 0.9792369794530045
-0.4556866471120924 0.25313749425206034
0.1502366831765063 -0.036001700016267346
-0.0333662269151469 -0.7077811055446932
0.3440953910749762 0.7006490432806936
-0.595210795353329 0.5815441214476815
-0.4371157311052174 -0.5074609851205347
-0.004508034077261414 -0.6722659157178132
-0.40466819950752964 -0.3689816982366567
-0.2691192284123318 -0.5723531776288924
0.20857836472434133 0.5200964728596484
-0.9397566744688293 -0.9366203658222576
-0.6681045464286883 -0.7384561266335847
0.2319666950503736 -0.8083304059402721
-0.521938134408573 0.28175829080174664
0.16213984241173462 -0.2519215070116765
-0.7285500331461012 0.03015262097071969
0.12826356299050623 0.9504427729823712
-0.6792182819846526 0.9082835783170276
-0.6676801692417167 -0.36704700351979547
-0.8429367589897205 -0.41111361160798365
-0.9222831600468537 -0.25427577657466016
-0.49151381164856933 -0.9623847139193651
-0.7261900278430375 -0.9675866611549313
0.6029130888376728 -0.2654391990018543
-0.3719910339572452 0.3116551178570599
-0.382471838478587 0.7782317856324521
0.2108661570482253 0.9419033463830617
0.8206560186499414 -0.6938996419612251
0.17970886317478985 0.9925101733044146
-0.29728611736654265 -0.35878052752977396
0.010776736083833116 0.7691281700792727
0.6455869348717274 0.02578432999651925
-0.5983371707496661 -0.11489541423418137
-0.050010004077960746 -0.9244723061870492
-0.5579183667777889 0.612540321346408
Hidden Weights:
-0.8176929202758849 -0.7890759599162342
-2.7966059083607613 2.8027048312593204
=== Error on training data ===
Correctly Classified Instances 24722 75.9252 %
Incorrectly Classified Instances 7839 24.0748 %
Mean absolute error 0.3732
Root mean squared error 0.4278
Relative absolute error 102.0573 %
Root relative squared error 100.0493 %
Total Number of Instances 32561
=== Confusion Matrix ===
a b <-- classified as
2 7839 | a = >50K
0 24720 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 12437 76.3897 %
Incorrectly Classified Instances 3844 23.6103 %
Mean absolute error 0.3709
Root mean squared error 0.4251
Relative absolute error 102.0975 %
Root relative squared error 100.078 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2 3844 | a = >50K
0 12435 | b = <=50K
|
|
|
