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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.1
-S 111905871
-H 2
-M 0.1
Input Weights:
-0.5108432313589699 0.2342099104092148
-0.639135545805114 0.7636162672841409
-0.11737976435273412 0.3417680010014392
0.3472138534416809 -0.769800325868689
-0.657898359636633 0.43094444252459985
-0.1743709182462725 0.03233431792563901
0.3817721914871175 0.8538683046146696
0.9274029061076425 -0.7539342424602573
0.7684284291402028 -0.6115323539673174
-0.4234619587570885 0.7634172204774177
0.5330114625143385 0.5507144733537688
0.9711657341950743 -0.020267148911819355
-0.7790108696813867 0.9140034236089394
-0.39412455783002853 -0.052740783439889416
0.490697374078628 -0.8233619998315556
0.5429635990921731 0.8345157120623266
-0.19816905727554146 0.9160073438632763
-0.1504304711395743 0.413365138732537
0.9891696620749564 0.932125000219278
-0.8619694474172046 0.5627024743219513
0.6397104468837405 -0.8952162798016541
-0.5741818511422878 0.3922196599632839
0.2537910245931616 -0.9725728194567742
0.9851284620290401 0.7334193339464425
-0.23956924757078601 -0.9345434239656514
0.3653621846588584 0.3183308707477799
0.8806118596830284 0.6143559683330158
-0.30214664396881896 -0.9116324086085947
0.6149789400252379 -0.6302614285141206
0.053559858139490935 0.5843488206234038
0.5185807869267121 -0.4980395651028362
0.8120286797196452 -0.6794713068653082
0.8777082196626202 -0.6441696442671789
-0.5264422224249281 -0.7840760207813089
-0.8957604973410811 -0.7565688911653219
0.33461382079418556 -0.46055182565609143
0.011573145090038262 -0.8938247158041523
0.14649247921655006 -0.8657629834343212
0.752356837074007 0.3007104745049878
-0.04505560698245081 -0.14727549101710613
-0.5803058839831343 -0.00931650997743727
0.4087987046826693 0.8078965949513683
0.19697191370146805 0.04993390404502618
-0.9679857135225947 0.09684552372425403
0.7622901162309386 -0.08156854797874202
-0.651658834325211 -0.33183217697312295
-0.09416720036929505 -0.615036848505736
-0.12810249409891528 -0.2084701704159515
-0.7847128856237315 0.1537323465696374
0.34022552573801534 0.6712588888940461
0.6572314915509696 0.6079168993013666
0.1472997669789986 -0.1297536772502066
-0.9183266359828854 0.20286436102384098
-0.32021247316699397 0.8386601128790279
-0.528247259927509 0.1647427533013881
0.5866209078505331 -0.3443984387379888
-0.7610609858757507 -0.13436604721749745
-0.6956025131647214 0.491294189564792
0.33246934761995384 0.5905150951697642
-0.7272021808923179 0.9017983560911631
-0.5842970893825112 -0.9286583477533719
0.027359196998190782 -0.784496956273621
-0.8943678794094925 0.7732853777390443
0.042590923631725675 -0.48261299786786704
-0.7621039181704135 0.581609816889016
-0.9236767356324833 -0.6413389046496907
0.48991852503844635 0.3269506326045528
-0.435134498062532 0.8100443952300533
0.3696345065581361 0.042920187751402494
-0.9647263169964071 0.049471970724662695
-0.3241801005426024 0.48274718773847525
-0.29818908727555393 -0.2388675781325995
-0.10381677268712197 0.20960207653895102
0.5332897937901797 0.3727696405781893
0.6877619242086261 0.46561715336687404
0.7199314422697753 -0.058696945405132483
0.35617559694729395 -0.5665989427794487
0.20492376220478548 -0.5990879502729216
-0.8899303830000804 0.815836051012869
0.8180329646079443 -0.780567534206102
0.5275191729562001 0.7286491111341364
0.5661761312619862 -0.7063802857962109
-0.9360968308996804 -0.4520698010933799
0.2773195687103245 -0.6043170136647313
-0.7938137714414233 0.8724481630739556
-0.49330808082422806 -0.3746218494440239
0.905806573646601 -0.591946800207565
0.31410619328722067 0.3055063972740071
-0.21065076815124262 -0.9128312549844371
0.09294025736303357 0.4842887751129219
-0.8404727745421308 0.7976320151183505
-0.5714570083325554 0.794918457977243
0.48409145748583726 -0.12204255792805951
0.3087815552163513 0.7085173830686549
-0.3287210717747695 -0.8247672248724576
-0.30686209327985425 -0.7416101776092907
-0.5898155960255258 0.5608357455758979
-0.7710334988780034 -0.11374345865910684
0.8946386326207847 -0.06976205426057636
0.012754964308236083 -0.8407860823839461
-0.24980680455946924 0.9173649809187847
0.9277520863837632 0.44238251308954646
0.5647799858914291 -0.1589331703163468
0.913156080023261 0.11822879005992237
Hidden Weights:
0.16896037596518143 -0.730246168680482
-0.18723505010974395 0.28731172381846704
Options: -E 0.1 -M 0.1
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.1
-S 111905871
-H 2
-M 0.1
Input Weights:
-0.5108432313589699 0.2342099104092148
-0.639135545805114 0.7636162672841409
-0.11737976435273412 0.3417680010014392
0.3472138534416809 -0.769800325868689
-0.657898359636633 0.43094444252459985
-0.1743709182462725 0.03233431792563901
0.3817721914871175 0.8538683046146696
0.9274029061076425 -0.7539342424602573
0.7684284291402028 -0.6115323539673174
-0.4234619587570885 0.7634172204774177
0.5330114625143385 0.5507144733537688
0.9711657341950743 -0.020267148911819355
-0.7790108696813867 0.9140034236089394
-0.39412455783002853 -0.052740783439889416
0.490697374078628 -0.8233619998315556
0.5429635990921731 0.8345157120623266
-0.19816905727554146 0.9160073438632763
-0.1504304711395743 0.413365138732537
0.9891696620749564 0.932125000219278
-0.8619694474172046 0.5627024743219513
0.6397104468837405 -0.8952162798016541
-0.5741818511422878 0.3922196599632839
0.2537910245931616 -0.9725728194567742
0.9851284620290401 0.7334193339464425
-0.23956924757078601 -0.9345434239656514
0.3653621846588584 0.3183308707477799
0.8806118596830284 0.6143559683330158
-0.30214664396881896 -0.9116324086085947
0.6149789400252379 -0.6302614285141206
0.053559858139490935 0.5843488206234038
0.5185807869267121 -0.4980395651028362
0.8120286797196452 -0.6794713068653082
0.8777082196626202 -0.6441696442671789
-0.5264422224249281 -0.7840760207813089
-0.8957604973410811 -0.7565688911653219
0.33461382079418556 -0.46055182565609143
0.011573145090038262 -0.8938247158041523
0.14649247921655006 -0.8657629834343212
0.752356837074007 0.3007104745049878
-0.04505560698245081 -0.14727549101710613
-0.5803058839831343 -0.00931650997743727
0.4087987046826693 0.8078965949513683
0.19697191370146805 0.04993390404502618
-0.9679857135225947 0.09684552372425403
0.7622901162309386 -0.08156854797874202
-0.651658834325211 -0.33183217697312295
-0.09416720036929505 -0.615036848505736
-0.12810249409891528 -0.2084701704159515
-0.7847128856237315 0.1537323465696374
0.34022552573801534 0.6712588888940461
0.6572314915509696 0.6079168993013666
0.1472997669789986 -0.1297536772502066
-0.9183266359828854 0.20286436102384098
-0.32021247316699397 0.8386601128790279
-0.528247259927509 0.1647427533013881
0.5866209078505331 -0.3443984387379888
-0.7610609858757507 -0.13436604721749745
-0.6956025131647214 0.491294189564792
0.33246934761995384 0.5905150951697642
-0.7272021808923179 0.9017983560911631
-0.5842970893825112 -0.9286583477533719
0.027359196998190782 -0.784496956273621
-0.8943678794094925 0.7732853777390443
0.042590923631725675 -0.48261299786786704
-0.7621039181704135 0.581609816889016
-0.9236767356324833 -0.6413389046496907
0.48991852503844635 0.3269506326045528
-0.435134498062532 0.8100443952300533
0.3696345065581361 0.042920187751402494
-0.9647263169964071 0.049471970724662695
-0.3241801005426024 0.48274718773847525
-0.29818908727555393 -0.2388675781325995
-0.10381677268712197 0.20960207653895102
0.5332897937901797 0.3727696405781893
0.6877619242086261 0.46561715336687404
0.7199314422697753 -0.058696945405132483
0.35617559694729395 -0.5665989427794487
0.20492376220478548 -0.5990879502729216
-0.8899303830000804 0.815836051012869
0.8180329646079443 -0.780567534206102
0.5275191729562001 0.7286491111341364
0.5661761312619862 -0.7063802857962109
-0.9360968308996804 -0.4520698010933799
0.2773195687103245 -0.6043170136647313
-0.7938137714414233 0.8724481630739556
-0.49330808082422806 -0.3746218494440239
0.905806573646601 -0.591946800207565
0.31410619328722067 0.3055063972740071
-0.21065076815124262 -0.9128312549844371
0.09294025736303357 0.4842887751129219
-0.8404727745421308 0.7976320151183505
-0.5714570083325554 0.794918457977243
0.48409145748583726 -0.12204255792805951
0.3087815552163513 0.7085173830686549
-0.3287210717747695 -0.8247672248724576
-0.30686209327985425 -0.7416101776092907
-0.5898155960255258 0.5608357455758979
-0.7710334988780034 -0.11374345865910684
0.8946386326207847 -0.06976205426057636
0.012754964308236083 -0.8407860823839461
-0.24980680455946924 0.9173649809187847
0.9277520863837632 0.44238251308954646
0.5647799858914291 -0.1589331703163468
0.913156080023261 0.11822879005992237
Hidden Weights:
0.16896037596518143 -0.730246168680482
-3.006399356865783 3.0076810608840843
=== Error on training data ===
Correctly Classified Instances 24763 76.0511 %
Incorrectly Classified Instances 7798 23.9489 %
Mean absolute error 0.3933
Root mean squared error 0.4303
Relative absolute error 107.5593 %
Root relative squared error 100.6459 %
Total Number of Instances 32561
=== Confusion Matrix ===
a b <-- classified as
43 7798 | a = >50K
0 24720 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 12465 76.5616 %
Incorrectly Classified Instances 3816 23.4384 %
Mean absolute error 0.3911
Root mean squared error 0.4279
Relative absolute error 107.661 %
Root relative squared error 100.7231 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
30 3816 | a = >50K
0 12435 | b = <=50K
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