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:
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0.3817721914871175 0.8538683046146696
0.9274029061076425 -0.7539342424602573
0.7684284291402028 -0.6115323539673174
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0.5330114625143385 0.5507144733537688
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-0.7790108696813867 0.9140034236089394
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0.5429635990921731 0.8345157120623266
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0.9891696620749564 0.932125000219278
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0.2773195687103245 -0.6043170136647313
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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
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0.20492376220478548 -0.5990879502729216
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0.5275191729562001 0.7286491111341364
0.5661761312619862 -0.7063802857962109
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0.2773195687103245 -0.6043170136647313
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0.905806573646601 -0.591946800207565
0.31410619328722067 0.3055063972740071
-0.21065076815124262 -0.9128312549844371
0.09294025736303357 0.4842887751129219
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0.48409145748583726 -0.12204255792805951
0.3087815552163513 0.7085173830686549
-0.3287210717747695 -0.8247672248724576
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-0.5898155960255258 0.5608357455758979
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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
|