|
|
Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.3
-S 106455894
-H 2
-M 0.1
Input Weights:
0.2842557234790086 -0.23797138249631633
0.6899544917583844 0.3955357616279751
0.4362229215604201 -0.23019080270906556
0.8920574611076129 -0.6393594411763712
-0.5919007522189554 -0.7267379041561102
0.7305638018176419 -0.7883734757907781
-0.46017684311158447 0.1255007518378266
-0.6420799195514082 0.7050178362558477
0.8412749469393712 -0.09072066879801888
0.9956008066998592 -0.28651167687430945
0.8574098386575792 -0.416737822619623
0.6913741441002925 0.8748823312392293
0.448446937892264 -0.06054826132412372
0.8765610116677103 0.909626956266625
-0.34257463373395947 -0.9185956850953139
-0.3744941093655738 -0.9790429318174538
0.5908030835736342 0.8494257162156142
-0.5509477470430231 0.10457910940710446
0.3088883898857586 -0.3633554527399816
-0.0908552404218097 -0.051432153743402154
0.8637088553325698 0.3137957017203945
-0.9409047589169752 0.514883299578194
0.6781442298776996 0.8095331348453874
-0.2263725036056461 -0.8308914072794051
0.8712284899001821 -0.5802899606209468
-0.6416146487118886 -0.6331970602326178
0.433668152021204 0.12964366005747707
0.6877262623591667 0.9089361749194167
-0.5282217074940736 -0.5420012531844403
-0.37634033595678473 -0.8653235409053048
0.2879124406683382 -0.2565932425407462
-0.9272005933199616 -0.8894531546765219
0.6655054242442364 0.9128660593558457
-0.958983315752036 -0.6224030275574091
0.2852676590919425 0.9556678147653308
-0.9103247040973448 0.6034621087484591
-0.782186159102519 -0.7168571828685542
0.16923869850111783 0.6184521410149981
0.5127856749967523 -0.568245676182763
-0.26426570223533696 0.9523326971879933
-0.775213612332128 -0.9424521285469418
0.01687009407666107 0.8831834216487355
-0.9346091066870463 -0.38996029063207027
-0.6948940984902703 -0.9926550643058778
0.12508123087965184 0.5433603512608132
0.0760088034089752 -0.12054859241476645
-0.26011660026463335 0.34569509808147125
0.7668516138393395 -0.11290581456479987
-0.8507921102228619 0.3123571895922581
-0.7485301494302463 -0.6572776758193903
-0.2378832255261174 0.9645230674488072
0.805457970615373 0.016665929322058792
0.8709172615867606 0.7798250288803468
-0.09281582784704057 0.8141194828505638
-0.13068903230900775 -0.24852968149018273
-0.8550845158421174 -0.07625469748729019
-0.6132329016883225 -0.1280933089508265
-0.7776014697343003 0.038210588855352556
-0.7254615247520193 -0.5683802844238213
-0.6578855542353093 0.7631524180565858
0.6987535070063078 -0.13650270580223278
-0.2915543050711418 0.2802304023754123
0.4330009501276313 0.4221649788715256
-0.5127597508309556 0.9952796871881597
0.11122663025655766 -0.7166427641613282
0.08255653779631866 -0.8389333608246241
-0.8902092615539543 0.5420748134471105
-0.8116954915449914 0.2864856829083624
-0.12286325317248692 -0.7149375123120916
0.7283903779494443 -0.905335101217684
0.016410589739371373 -0.5381441696304265
-0.15609884953217157 0.5295771696402305
-0.06001462448462069 0.07186618402584433
0.6936607441380929 0.08633609273400378
-0.7615976633915658 -0.5409726498249248
0.5227306253251476 0.9000905356098521
-0.5833157894734298 -0.15950158920751445
-0.4165609593265982 -0.4882208987759187
-0.1809863642211842 -0.9843762208378659
-0.2296130876169482 -0.9308394952446288
0.45285238736696387 0.2733838926829384
-0.19657976940774513 0.5454578324419772
0.19391097079040898 0.45224377261425186
0.3533567057749789 0.08634348285835247
-0.7440890740440531 0.8607108544412232
0.3906388978010451 -0.8566981570292376
0.689522952950774 -0.8611318234272125
-0.6728674700080077 0.025839664991302413
-0.5273381351448696 -0.726762819605151
-0.8601741765300104 0.9085265240457736
-0.9973211632813406 -0.14412779816800914
-0.12020545785802539 -0.7428623882878262
0.626866411550991 0.6336736031446808
0.8917998754068268 -0.21930272394236527
-0.5282171636710846 -0.40063982129586995
0.15436933410599996 0.15618154845610532
-0.9313337535672965 0.848935634038855
0.6959918702466872 0.2869902942659617
-0.9701546941919292 -0.46684553712712673
-0.3072730968950552 0.21574141476413278
0.8115186143687831 0.16751089417348264
-0.9075991045751635 0.08093125772792864
0.9972672301900114 -0.11452692512425022
0.27073000726797747 -0.1562577797557736
Hidden Weights:
0.9789867186441576 -0.33228009285139537
0.327355440954898 0.3715339054664262
Options: -M 0.1 -I 500
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.3
-S 106455894
-H 2
-M 0.1
Input Weights:
0.2842557234790086 -0.23797138249631633
0.6899544917583844 0.3955357616279751
0.4362229215604201 -0.23019080270906556
0.8920574611076129 -0.6393594411763712
-0.5919007522189554 -0.7267379041561102
0.7305638018176419 -0.7883734757907781
-0.46017684311158447 0.1255007518378266
-0.6420799195514082 0.7050178362558477
0.8412749469393712 -0.09072066879801888
0.9956008066998592 -0.28651167687430945
0.8574098386575792 -0.416737822619623
0.6913741441002925 0.8748823312392293
0.448446937892264 -0.06054826132412372
0.8765610116677103 0.909626956266625
-0.34257463373395947 -0.9185956850953139
-0.3744941093655738 -0.9790429318174538
0.5908030835736342 0.8494257162156142
-0.5509477470430231 0.10457910940710446
0.3088883898857586 -0.3633554527399816
-0.0908552404218097 -0.051432153743402154
0.8637088553325698 0.3137957017203945
-0.9409047589169752 0.514883299578194
0.6781442298776996 0.8095331348453874
-0.2263725036056461 -0.8308914072794051
0.8712284899001821 -0.5802899606209468
-0.6416146487118886 -0.6331970602326178
0.433668152021204 0.12964366005747707
0.6877262623591667 0.9089361749194167
-0.5282217074940736 -0.5420012531844403
-0.37634033595678473 -0.8653235409053048
0.2879124406683382 -0.2565932425407462
-0.9272005933199616 -0.8894531546765219
0.6655054242442364 0.9128660593558457
-0.958983315752036 -0.6224030275574091
0.2852676590919425 0.9556678147653308
-0.9103247040973448 0.6034621087484591
-0.782186159102519 -0.7168571828685542
0.16923869850111783 0.6184521410149981
0.5127856749967523 -0.568245676182763
-0.26426570223533696 0.9523326971879933
-0.775213612332128 -0.9424521285469418
0.01687009407666107 0.8831834216487355
-0.9346091066870463 -0.38996029063207027
-0.6948940984902703 -0.9926550643058778
0.12508123087965184 0.5433603512608132
0.0760088034089752 -0.12054859241476645
-0.26011660026463335 0.34569509808147125
0.7668516138393395 -0.11290581456479987
-0.8507921102228619 0.3123571895922581
-0.7485301494302463 -0.6572776758193903
-0.2378832255261174 0.9645230674488072
0.805457970615373 0.016665929322058792
0.8709172615867606 0.7798250288803468
-0.09281582784704057 0.8141194828505638
-0.13068903230900775 -0.24852968149018273
-0.8550845158421174 -0.07625469748729019
-0.6132329016883225 -0.1280933089508265
-0.7776014697343003 0.038210588855352556
-0.7254615247520193 -0.5683802844238213
-0.6578855542353093 0.7631524180565858
0.6987535070063078 -0.13650270580223278
-0.2915543050711418 0.2802304023754123
0.4330009501276313 0.4221649788715256
-0.5127597508309556 0.9952796871881597
0.11122663025655766 -0.7166427641613282
0.08255653779631866 -0.8389333608246241
-0.8902092615539543 0.5420748134471105
-0.8116954915449914 0.2864856829083624
-0.12286325317248692 -0.7149375123120916
0.7283903779494443 -0.905335101217684
0.016410589739371373 -0.5381441696304265
-0.15609884953217157 0.5295771696402305
-0.06001462448462069 0.07186618402584433
0.6936607441380929 0.08633609273400378
-0.7615976633915658 -0.5409726498249248
0.5227306253251476 0.9000905356098521
-0.5833157894734298 -0.15950158920751445
-0.4165609593265982 -0.4882208987759187
-0.1809863642211842 -0.9843762208378659
-0.2296130876169482 -0.9308394952446288
0.45285238736696387 0.2733838926829384
-0.19657976940774513 0.5454578324419772
0.19391097079040898 0.45224377261425186
0.3533567057749789 0.08634348285835247
-0.7440890740440531 0.8607108544412232
0.3906388978010451 -0.8566981570292376
0.689522952950774 -0.8611318234272125
-0.6728674700080077 0.025839664991302413
-0.5273381351448696 -0.726762819605151
-0.8601741765300104 0.9085265240457736
-0.9973211632813406 -0.14412779816800914
-0.12020545785802539 -0.7428623882878262
0.626866411550991 0.6336736031446808
0.8917998754068268 -0.21930272394236527
-0.5282171636710846 -0.40063982129586995
0.15436933410599996 0.15618154845610532
-0.9313337535672965 0.848935634038855
0.6959918702466872 0.2869902942659617
-0.9701546941919292 -0.46684553712712673
-0.3072730968950552 0.21574141476413278
0.8115186143687831 0.16751089417348264
-0.9075991045751635 0.08093125772792864
0.9972672301900114 -0.11452692512425022
0.27073000726797747 -0.1562577797557736
Hidden Weights:
-0.4123364852218214 -0.04395254574636089
0.327355440954898 0.3715339054664262
=== Error on training data ===
Correctly Classified Instances 24720 75.919 %
Incorrectly Classified Instances 7841 24.081 %
Mean absolute error 0.3742
Root mean squared error 0.4279
Relative absolute error 102.3365 %
Root relative squared error 100.0744 %
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 0.372
Root mean squared error 0.4253
Relative absolute error 102.3934 %
Root relative squared error 100.1172 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
0 3846 | a = >50K
0 12435 | b = <=50K
|
|
|
