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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.3
-S 105847079
-H 2
-M 0.5
Input Weights:
0.5374008987976593 0.849750299561167
0.5060464362977817 0.8819748965536678
0.7448600636318359 -0.40998868600426586
0.15391682242248916 0.07640416167835529
0.23210428852606158 0.45322233415243307
0.15988518577960553 0.8555541186314117
-0.6724862222543866 0.22929325233344056
0.19787291110735028 -0.5947325034598498
0.6515224525668761 0.609100658309345
0.22539641798940613 -0.8533494557875168
-0.07504765650318701 -0.8660325743866792
0.22895447633314348 -0.9738704720570515
0.22988834686859927 0.6025634350595601
0.9149762837771223 -0.33925271839105764
0.4832358463453461 -0.28420155531560165
0.7157592069254457 -0.1301768198589346
-0.2960562622607186 -0.7239786185573478
-0.1254203967702734 -0.8604810481765963
0.9072308566081821 0.7895313164725135
0.4982813871125773 0.3536347926692123
0.3559227411584742 -0.7954365193921586
0.8289062187972338 0.20749348252162192
-0.12817941243886954 -0.9272032416451712
-0.433161519491003 -0.15380121421823434
-0.8907183570226553 -0.5579398735791972
-0.1762350953664853 0.8967660311194074
-0.5119714285531511 -0.968941703719002
-0.3894916421021819 -0.12274041665260671
-0.039486098741084774 -0.06789874902159054
0.05725283312912799 -0.6344756868046959
-0.7424108258663487 0.43228528742635985
-0.32465250198351914 0.9145058304732463
0.7401518702879886 0.2033374803070349
-0.2769702531183682 -0.15158962655734398
0.7280122648499465 0.7201780057282601
0.4230522091842459 -0.679303814386317
-0.8566749628609152 -0.5683175560417226
0.6581058976146519 0.636509041377314
0.67620725254702 -0.0035888442218598993
-0.431384968286624 0.3328135724050343
0.3550083231433483 0.35222572894801085
0.8942039366108416 -0.9179806660728873
-0.4977551476551214 -0.9784972766180795
-0.8990809272198099 0.5709985924029348
0.417360605513188 -0.1584041541054042
-0.5441041862480551 0.2574309481720525
0.8058528909351739 -0.7994447259916511
-0.1468961416209531 -0.31147052779992435
0.7463192440691371 0.2669039157297346
0.9303550827616134 0.9712926271939466
-0.15324380154954942 0.014258819086606422
0.8899266458859878 -0.6848685166389665
-0.09811879652135369 -0.08971100382114217
0.45270770630431345 -0.6475742607227044
0.7559873187175008 -0.21281706051818428
0.017234545537704538 0.4244135292503155
0.8512679950679889 -0.07152364036078351
0.8076029662190043 0.16170205435869955
0.9688104660878791 0.05452858506238134
-0.5059481476790804 -0.3277532421992644
-0.46356327335864145 -0.6053485872142541
0.34176813016079377 -0.6247308961753091
0.3909156267620941 0.09514878264696769
-0.259320556784578 -0.8935861182764997
-0.43283472099019527 0.9953418992191658
-0.6860492283282336 0.40537417065811576
0.288057147823056 0.44278971315265814
-0.5134075186630962 -0.06112480766925099
0.3082051002248447 -0.08210800647190131
-0.8222075130872306 0.5847013961482141
0.8053249321511782 0.3691428549601572
-0.6101864817635732 -0.1994886654967689
-0.4862386638935934 -0.6354979098721145
0.09982023779805593 0.23740381314103565
0.37575337614686366 0.45144031997087386
-0.3151705850448605 0.06422038450587642
0.9848244057501254 -0.03330060929040779
0.7588798235501226 -0.20522317279152658
-0.9310120934959916 -0.606033789073225
0.8790100166269774 -0.5742401390739114
0.48464463048045814 -0.8505052562768582
-0.8450214656052368 0.9857855510509912
-0.8407548229444426 0.2669966840877165
-0.08212226885748164 -0.027256954633695818
-0.6550948395598262 0.20737124367970883
-0.22535645912503321 0.14242420222346985
-0.14218161782975614 -0.7416769968853778
0.5774684405062294 0.45071126411849716
0.8299152480215748 -0.49535838447252933
-0.9834560029353541 -0.8928491259632223
-0.7411053766119209 -0.09834847749761977
0.11741324906050887 0.3512226681034174
-0.6015884892910528 -0.19939853069605418
-0.7247355692833068 0.11440741079756833
-0.9115327220241984 -0.44718358553117965
0.44126236309640365 -0.1995891797202649
-0.4876800771290648 0.22529646708091566
0.51275881120035 -0.659501297640718
0.8246413419438647 0.628879836429191
-0.8390368535699579 0.017484203586543012
0.5890973667319348 0.8946116289642869
0.516154405633608 -0.4241273088018771
-0.8263538898228437 0.8068366239754694
0.05029395728405306 -0.6588481040013408
Hidden Weights:
-0.6527844774402429 -0.32889360651909105
0.7393846900880743 -0.0022196824441544916
Options: -M 0.5
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 100
-E 0.3
-S 105847079
-H 2
-M 0.5
Input Weights:
0.5374008987954111 0.849750299561167
0.5060464362977817 0.8819748965536678
0.7448600636318359 -0.40998868600426586
0.15391682242245053 0.07640416167835529
0.23210428852606158 0.45322233415243307
0.15988518577960553 0.8555541186314117
-0.6724862222543866 0.22929325233344056
0.19787291110735028 -0.5947325034598498
0.6515224525668761 0.609100658309345
0.22539640972444533 -0.8533494557875168
-0.07504765650318701 -0.8660325743866792
0.22895447633314348 -0.9738704720570515
0.22988834686859927 0.6025634350595601
0.9149762837771223 -0.33925271839105764
0.4832358463453461 -0.28420155531560165
0.7157592069254457 -0.1301768198589346
-0.2960562622607186 -0.7239786185573478
-0.1254203967702734 -0.8604810481765963
0.9072308566081821 0.7895313164725135
0.4982813871125773 0.3536347926692123
0.3559227411584742 -0.7954365193921586
0.8289062187972338 0.20749348252162192
-0.12817941243886954 -0.9272032416451712
-0.4331615194910416 -0.15380121421823434
-0.8907183570226553 -0.5579398735791972
-0.1762350953664853 0.8967660311194074
-0.5119714285537904 -0.968941703719002
-0.3894916421022205 -0.12274041665260671
-0.039486098741084774 -0.06789874902159054
0.05725283312912799 -0.6344756868046959
-0.7424108258663487 0.43228528742635985
-0.32465250198351914 0.9145058304732463
0.7401518702879886 0.2033374803070349
-0.2769702531183682 -0.15158962655734398
0.7280122648499465 0.7201780057282601
0.4230522091842459 -0.679303814386317
-0.8566749628609152 -0.5683175560417226
0.6581058976146519 0.636509041377314
0.67620725254702 -0.0035888442218598993
-0.43138496828666256 0.3328135724050343
0.3550083231433483 0.35222572894801085
0.8942039366108416 -0.9179806660728873
-0.4977551476551214 -0.9784972766180795
-0.8990809272198099 0.5709985924029348
0.417360605513188 -0.1584041541054042
-0.5441041862480551 0.2574309481720525
0.8058528909351739 -0.7994447259916511
-0.1468961416209531 -0.31147052779992435
0.7463192440691371 0.2669039157297346
0.9303550827616134 0.9712926271939466
-0.15324380154958805 0.014258819086606422
0.8899266458859878 -0.6848685166389665
-0.09811879652135369 -0.08971100382114217
0.45270770630431345 -0.6475742607227044
0.7559873187174676 -0.21281706051818428
0.017234545537704538 0.4244135292503155
0.8512679950679889 -0.07152364036078351
0.8076029662190043 0.16170205435869955
0.9688104660878791 0.05452858506238134
-0.5059481476791136 -0.3277532421992644
-0.46356327737850306 -0.6053485872142541
0.34176813016079377 -0.6247308961753091
0.3909156267592829 0.09514878264696769
-0.2593205567846166 -0.8935861182764997
-0.43283472099019527 0.9953418992191658
-0.6860492283282336 0.40537417065811576
0.288057147823056 0.44278971315265814
-0.5134075186630962 -0.06112480766925099
0.3082051002248447 -0.08210800647190131
-0.8222075130872306 0.5847013961482141
0.8053249321511782 0.3691428549601572
-0.6101864817635732 -0.1994886654967689
-0.4862386638935934 -0.6354979098721145
0.09982023779805593 0.23740381314103565
0.37575337614686366 0.45144031997087386
-0.3151705850448605 0.06422038450587642
0.9848244057501254 -0.03330060929040779
0.7588798235501226 -0.20522317279152658
-0.9310120934959916 -0.606033789073225
0.8790100166269774 -0.5742401390739114
0.48464463048045814 -0.8505052562768582
-0.8450214656052368 0.9857855510509912
-0.8407548229444426 0.2669966840877165
-0.08212226885748164 -0.027256954633695818
-0.6550948395598262 0.20737124367970883
-0.22535645912503321 0.14242420222346985
-0.14218161782975614 -0.7416769968853778
0.5774684405062294 0.45071126411849716
0.8299152480215748 -0.49535838447252933
-0.9834560029353541 -0.8928491259632223
-0.7411053766119209 -0.09834847749761977
0.11741324906050887 0.3512226681034174
-0.6015884892910528 -0.19939853069605418
-0.7247355692833068 0.11440741079756833
-0.9115327220241984 -0.44718358553117965
0.44126236309640365 -0.1995891797202649
-0.4876800771290648 0.22529646708091566
0.51275881120035 -0.659501297640718
0.8246413419438647 0.628879836429191
-0.8390368535699579 0.017484203586543012
0.5890973667319348 0.8946116289642869
0.516154405633608 -0.4241273088018771
-0.8263538898228437 0.8068366239754694
0.05029395728405306 -0.6588481040013408
Hidden Weights:
-2.769945363322216 2.769945363322216
0.7393846900880743 -0.0022196824441544916
=== Error on training data ===
Correctly Classified Instances 24843 76.2968 %
Incorrectly Classified Instances 7718 23.7032 %
Mean absolute error 0.4566
Root mean squared error 0.4623
Relative absolute error 124.8806 %
Root relative squared error 108.1117 %
Total Number of Instances 32561
=== Confusion Matrix ===
a b <-- classified as
124 7717 | a = >50K
1 24719 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 12501 76.7828 %
Incorrectly Classified Instances 3780 23.2172 %
Mean absolute error 0.4558
Root mean squared error 0.4614
Relative absolute error 125.4573 %
Root relative squared error 108.6081 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
66 3780 | a = >50K
0 12435 | b = <=50K
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