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
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0.4281934309224096 0.5289417291296752
0.9611861888403623 0.12506691242400758
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0.846315169478056 0.6940984975081401
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0.5239951340508806 -0.724149347509967
-0.5576926790366648 0.8639547746736038
-0.4124179035129505 -0.8149539796061755
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0.16213984241173462 -0.2519215070116765
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0.12826356299050623 0.9504427729823712
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0.17970886317478985 0.9925101733044146
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-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
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0.20857836472434133 0.5200964728596484
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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
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-0.9222831600468537 -0.25427577657466016
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0.6029130888376728 -0.2654391990018543
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-0.382471838478587 0.7782317856324521
0.2108661570482253 0.9419033463830617
0.8206560186499414 -0.6938996419612251
0.17970886317478985 0.9925101733044146
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0.010776736083833116 0.7691281700792727
0.6455869348717274 0.02578432999651925
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-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
|