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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 12000
-E 0.01
-S 1669713379
-H 2
-M 0.01
Input Weights:
0.6234431245563863 0.4864884122356823 age
0.28642490011962773 -0.25254859481903713 workclass=Private
-0.8867121987495126 0.6263972458780267 workclass=Self-emp-not-inc
0.17148676155052844 0.491006782288663 workclass=Self-emp-inc
0.6557900161813179 -0.5951256231528692 workclass=Federal-gov
-0.5403648523209212 0.8855545862192753 workclass=Local-gov
0.1700291925843027 0.9061922953409978 workclass=State-gov
-0.501303513082376 -0.9954607349188167 workclass=Without-pay
0.5024950862851705 -0.7560136437576161 workclass=Never-worked
-0.17480215462521165 0.947322031938324 fnlwgt
-0.1648399598119772 -0.8766586865427168 education=Bachelors
0.08970588110838018 -0.4884177642297649 education=Some-college
-0.08509443660917437 -0.24787208445208386 education=11th
-0.7545648693684266 0.4166316686660778 education=HS-grad
0.9757683125301895 0.5512818933907471 education=Prof-school
0.7621876091787303 -0.028204836828493063 education=Assoc-acdm
0.9834399480676073 0.11100689950806841 education=Assoc-voc
-0.2874990268885438 -0.8814047173851418 education=9th
-0.4966287806640286 0.48842230116000707 education=7th-8th
-0.9858838365661315 -0.9986548682822414 education=12th
-0.5511771606509335 0.0017213170600656191 education=Masters
0.3185403524217205 -0.6804508584413167 education=1st-4th
0.29117287920519175 0.3749818437119481 education=10th
0.3943454422585593 0.0876176584952233 education=Doctorate
-0.6816321758121866 0.6236350938045254 education=5th-6th
-0.7805807115983867 0.6919674003472607 education=Preschool
-0.7660139512220956 0.10927300341847102 education-num
-0.8090547717258336 -0.369509926869652 marital-status=Married-civ-spouse
0.04310671448204717 0.36872036297341815 marital-status=Divorced
-0.823563610722007 0.6012699537317152 marital-status=Never-married
-0.265063555277937 -0.2603658167743035 marital-status=Separated
-0.1765346450781693 0.9517086634023646 marital-status=Widowed
0.9275790314586478 -0.4644180739797359 marital-status=Married-spouse-absent
-0.6516810846435517 -0.599990956622982 marital-status=Married-AF-spouse
-0.7121662158867152 0.10861161738801672 occupation=Tech-support
0.6319382633866184 -0.3888250234757742 occupation=Craft-repair
-0.7023886031970852 0.08652093596575727 occupation=Other-service
-0.968804169938362 -0.9190623258445523 occupation=Sales
0.6463599885724587 -0.636118869795373 occupation=Exec-managerial
-4.3015952567304616E-4 0.0037137839736303135 occupation=Prof-specialty
-0.7575680531495925 0.007635670486756174 occupation=Handlers-cleaners
-0.9928687824067213 0.7439753202858057 occupation=Machine-op-inspct
0.33098921160234607 0.525788889769736 occupation=Adm-clerical
0.9277107934907989 -0.7178404554786966 occupation=Farming-fishing
0.4759809046692438 -0.6739026815739158 occupation=Transport-moving
-0.9378073452659226 -0.12689482940843289 occupation=Priv-house-serv
0.9218216723258041 0.5142832116812188 occupation=Protective-serv
0.30083950581891283 0.16236504050875356 occupation=Armed-Forces
0.02829326662459075 0.2703795824479256 relationship=Wife
0.07291887509593264 0.3977499359361871 relationship=Own-child
0.7202777518113439 -0.8116012873056504 relationship=Husband
-0.8640699842599311 -0.8870002969572153 relationship=Not-in-family
-0.9186538347368038 -0.5716384709148452 relationship=Other-relative
-0.16455778165610324 0.9291910178123766 relationship=Unmarried
0.9348644536899287 0.039344375422068145 race=White
0.10471718605933367 0.8177734927843188 race=Asian-Pac-Islander
-0.6952215979847425 -0.9351360575444243 race=Amer-Indian-Eskimo
-0.4755880522596161 -0.5838895507220407 race=Other
0.5559928209947043 0.2036398822894021 race=Black
0.5490135385097747 -0.38001524718895463 sex
-0.47459438670496 0.004319744207989418 capital-gain
0.31925493413514117 -0.24564953854485516 capital-loss
0.5320896432906426 0.4256318634201812 hours-per-week
-0.9216276139535073 -0.0809415360950716 native-country=United-States
0.48046963474181625 -0.3340805145526098 native-country=Cambodia
-0.676799079873273 -0.38549769271783485 native-country=England
-0.25598747598241656 -0.5008839444509485 native-country=Puerto-Rico
-0.3539685826801098 0.18600572084831613 native-country=Canada
0.7580773639739691 -0.04228537103037944 native-country=Germany
0.425890683945624 0.9169495293708987 native-country=Outlying-US(Guam-USVI-etc)
-0.40295630968468665 0.55567842269166 native-country=India
0.7432135259333874 -0.6004987438849092 native-country=Japan
0.8192987392156472 0.792800090179753 native-country=Greece
-0.7767253463188484 0.9875093565176953 native-country=South
-0.1904971207177908 0.34276193205295735 native-country=China
-0.9664997200142369 0.27654146796032797 native-country=Cuba
0.2249098794501918 -0.015159674076632212 native-country=Iran
-0.4910978163925752 -0.5321714050012749 native-country=Honduras
-0.8257147478025071 -0.6526458614094857 native-country=Philippines
0.3681355050577917 0.6814108123549467 native-country=Italy
-0.14421715788620015 -0.7881581031175275 native-country=Poland
0.18859049398875238 -0.4667920249081474 native-country=Jamaica
-0.29560381571888095 0.27158268125238294 native-country=Vietnam
0.6797563735879213 -0.9560493942402288 native-country=Mexico
0.019439187871071573 0.6062176297818793 native-country=Portugal
-0.2541461602200479 -0.11345606007860187 native-country=Ireland
0.6458208030631298 0.9543956005384235 native-country=France
0.746190195329314 -0.4971111854041461 native-country=Dominican-Republic
0.876299794048506 -0.6641732264888629 native-country=Laos
0.5983640867917972 0.35059239235935746 native-country=Ecuador
0.35083051524661135 -0.6411054028334662 native-country=Taiwan
0.24759544618608897 -0.18774334161376371 native-country=Haiti
-0.4023203512389084 0.28481742162357415 native-country=Columbia
-0.16389580818269334 0.6717742310810029 native-country=Hungary
0.9520957914119381 0.7077796704820187 native-country=Guatemala
-0.09063278547285547 -0.19131837196453572 native-country=Nicaragua
-0.9164086975349017 -0.37526286544858234 native-country=Scotland
-0.08023347685668081 -0.6227408115126469 native-country=Thailand
-0.8372607771607381 0.2497539863060867 native-country=Yugoslavia
-0.17013377863743395 0.4346137625182718 native-country=El-Salvador
-0.07806366123040887 0.6855189529715746 native-country=Trinadad&Tobago
0.9433395926874062 -0.8069208663929732 native-country=Peru
0.34972884179523134 -0.5223705403336176 native-country=Hong
-0.6638273348090711 0.9473066566941206 native-country=Holand-Netherlands
Hidden Weights:
-0.9722840053783663 -0.3654623974922697
0.2877770878970798 0.8942622259634461
>50K <=50K
Error sum for iteration 100 = 766.6904209637395
Error sum for iteration 200 = 776.2496521984344
Error sum for iteration 300 = 771.4409629429755
Error sum for iteration 400 = 771.4148776975426
Error sum for iteration 500 = 775.2732875893406
Error sum for iteration 600 = 778.8915012937941
Error sum for iteration 700 = 779.9337118629177
Error sum for iteration 800 = 779.0536253765168
Error sum for iteration 900 = 777.1171354479501
Error sum for iteration 1000 = 774.5788065439962
Error sum for iteration 1100 = 771.6825899269526
Error sum for iteration 1200 = 768.5467929432281
Error sum for iteration 1300 = 765.2250874641551
Error sum for iteration 1400 = 761.7562805768356
Error sum for iteration 1500 = 758.16731845498
Error sum for iteration 1600 = 754.5162230651969
Error sum for iteration 1700 = 750.8561688800195
Error sum for iteration 1800 = 747.242726863433
Error sum for iteration 1900 = 743.717809779573
Error sum for iteration 2000 = 740.3134707576053
Error sum for iteration 2100 = 737.049418066367
Error sum for iteration 2200 = 733.935976567958
Error sum for iteration 2300 = 730.9702448581161
Error sum for iteration 2400 = 728.1573206319838
Error sum for iteration 2500 = 725.4882116184375
Error sum for iteration 2600 = 722.9535852287589
Error sum for iteration 2700 = 720.5511951559589
Error sum for iteration 2800 = 718.2692353822158
Error sum for iteration 2900 = 716.0976984049726
Error sum for iteration 3000 = 714.0232114523228
Error sum for iteration 3100 = 712.0388125291768
Error sum for iteration 3200 = 710.1309239021
Error sum for iteration 3300 = 708.2950033465773
Error sum for iteration 3400 = 706.5295586657422
Error sum for iteration 3500 = 704.8243385287269
Error sum for iteration 3600 = 703.1668952167993
Error sum for iteration 3700 = 701.5453878928643
Error sum for iteration 3800 = 699.9622012557121
Error sum for iteration 3900 = 698.4129318793396
Error sum for iteration 4000 = 696.8967952316754
Error sum for iteration 4100 = 695.4170632377356
Error sum for iteration 4200 = 693.9730643378231
Error sum for iteration 4300 = 692.5610071716477
Error sum for iteration 4400 = 691.1845030763118
Error sum for iteration 4500 = 689.8415215368622
Error sum for iteration 4600 = 688.5330419664645
Error sum for iteration 4700 = 687.2623980658636
Error sum for iteration 4800 = 686.0289617390079
Error sum for iteration 4900 = 684.8320775934524
Error sum for iteration 5000 = 683.6721803816713
Error sum for iteration 5100 = 682.5486352315205
Error sum for iteration 5200 = 681.4599562877842
Error sum for iteration 5300 = 680.4055508611565
Error sum for iteration 5400 = 679.3853450998178
Error sum for iteration 5500 = 678.3992555209761
Error sum for iteration 5600 = 677.4441410902818
Error sum for iteration 5700 = 676.5200553145193
Error sum for iteration 5800 = 675.6244811724259
Error sum for iteration 5900 = 674.7560635521465
Error sum for iteration 6000 = 673.9128091685196
Error sum for iteration 6100 = 673.0918059858943
Error sum for iteration 6200 = 672.2929349101776
Error sum for iteration 6300 = 671.5143190989452
Error sum for iteration 6400 = 670.7549669360968
Error sum for iteration 6500 = 670.0138165561767
Error sum for iteration 6600 = 669.2900830955043
Error sum for iteration 6700 = 668.5826725897416
Error sum for iteration 6800 = 667.8911290598296
Error sum for iteration 6900 = 667.2144421243136
Error sum for iteration 7000 = 666.5524446673255
Error sum for iteration 7100 = 665.9044915716681
Error sum for iteration 7200 = 665.269472826709
Error sum for iteration 7300 = 664.6470966700795
Error sum for iteration 7400 = 664.0371659620138
Error sum for iteration 7500 = 663.4397223837904
Error sum for iteration 7600 = 662.8536519244138
Error sum for iteration 7700 = 662.2790500305551
Error sum for iteration 7800 = 661.7155898489397
Error sum for iteration 7900 = 661.1625808953511
Error sum for iteration 8000 = 660.619502213853
Error sum for iteration 8100 = 660.0857781014373
Error sum for iteration 8200 = 659.5617368732388
Error sum for iteration 8300 = 659.0469285039188
Error sum for iteration 8400 = 658.5423427115587
Error sum for iteration 8500 = 658.0467543412071
Error sum for iteration 8600 = 657.558899280555
Error sum for iteration 8700 = 657.0791364556072
Error sum for iteration 8800 = 656.6072497712363
Error sum for iteration 8900 = 656.1434150534507
Error sum for iteration 9000 = 655.6875617817942
Error sum for iteration 9100 = 655.2398948437464
Error sum for iteration 9200 = 654.7996691603208
Error sum for iteration 9300 = 654.3660928767353
Error sum for iteration 9400 = 653.9392759339072
Error sum for iteration 9500 = 653.5190455491849
Error sum for iteration 9600 = 653.1051609911044
Error sum for iteration 9700 = 652.6985899391823
Error sum for iteration 9800 = 652.2997980681245
Error sum for iteration 9900 = 651.9072054431412
Error sum for iteration 10000 = 651.520474728282
Error sum for iteration 10100 = 651.1397590837521
Error sum for iteration 10200 = 650.7646652243192
Error sum for iteration 10300 = 650.3949607052396
Error sum for iteration 10400 = 650.0305326342549
Error sum for iteration 10500 = 649.6715410397449
Error sum for iteration 10600 = 649.3178514301937
Error sum for iteration 10700 = 648.9695178150102
Error sum for iteration 10800 = 648.6264308418886
Error sum for iteration 10900 = 648.2891391150839
Error sum for iteration 11000 = 647.957120534126
Error sum for iteration 11100 = 647.6300435726046
Error sum for iteration 11200 = 647.3081709289354
Error sum for iteration 11300 = 646.9913637095733
Error sum for iteration 11400 = 646.6799761223303
Error sum for iteration 11500 = 646.3733874995232
Error sum for iteration 11600 = 646.0715591062884
Error sum for iteration 11700 = 645.7750410205967
Error sum for iteration 11800 = 645.4838521479859
Error sum for iteration 11900 = 645.1976590683286
Error sum for iteration 12000 = 644.9165024871824
Options: -I 12000 -E 0.01 -S 1669713379 -H 2 -M 0.01
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 12000
-E 0.01
-S 1669713379
-H 2
-M 0.01
Input Weights:
16.09358557649455 0.3908265786951954 age
-2.0277426138822463 0.6821154324883641 workclass=Private
1.7165467084108774 1.8169562994506552 workclass=Self-emp-not-inc
3.894436622409015 0.2959565382792978 workclass=Self-emp-inc
-2.0005426873349204 -0.024978753022092876 workclass=Federal-gov
-1.747765249724193 1.2901717365140257 workclass=Local-gov
0.6260370445459621 1.3886475201241912 workclass=State-gov
-0.46421006976755386 -0.6498786982078871 workclass=Without-pay
0.5452557161764073 -0.5071487025044901 workclass=Never-worked
-5.120733356165073 -1.0356497138393745 fnlwgt
-1.5958569009989818 -0.6697135527140078 education=Bachelors
0.26528058584207503 0.20167770451365097 education=Some-college
0.8341612827639872 0.8804204162410803 education=11th
0.19645608470380022 -0.02977633814455151 education=HS-grad
-0.5632984155371915 -1.1753848208953703 education=Prof-school
1.2419718466245249 -0.041228154316430586 education=Assoc-acdm
1.3009227994431316 0.23821362934934243 education=Assoc-voc
1.171574896056821 0.5650459131972625 education=9th
1.662820266201194 0.13195952229334376 education=7th-8th
1.0639704653764033 3.2004469015971524 education=12th
0.022889850399553727 -0.5311388234025548 education=Masters
-0.2197229128503239 4.049908459931456 education=1st-4th
1.2465135765102264 0.6373442832551525 education=10th
-0.840290029630736 -1.5955829623593347 education=Doctorate
-5.041973336541213 -2.165744207967076 education=5th-6th
-0.6919054741628584 1.4219128794688696 education=Preschool
-1.3980440182764757 -2.8071839511271595 education-num
0.7758197442181997 -2.8057120665501274 marital-status=Married-civ-spouse
0.6031551108619536 1.6680935409031603 marital-status=Divorced
0.14441888093483685 1.5681904595839733 marital-status=Never-married
-2.708414746629521 0.49013021184097144 marital-status=Separated
-0.5639810380715486 0.7173500810182175 marital-status=Widowed
1.1362831069950783 2.726624760519406 marital-status=Married-spouse-absent
-0.5010835314420738 -0.40428866266399127 marital-status=Married-AF-spouse
0.32448439078810964 -0.7277261258988522 occupation=Tech-support
-2.0877446692174475 -0.4175142405175741 occupation=Craft-repair
3.3696059459354997 1.3012485384688728 occupation=Other-service
-0.03153287071516106 -0.2743976681543503 occupation=Sales
1.21004980647489 -0.8278948830869115 occupation=Exec-managerial
1.2411551868892732 -0.11419367006336524 occupation=Prof-specialty
0.47404953845008546 0.8042784715174168 occupation=Handlers-cleaners
-1.4417732453289043 0.22534530130235 occupation=Machine-op-inspct
-1.67065086166971 0.06819215139604119 occupation=Adm-clerical
1.6042681808435775 1.8078587965780415 occupation=Farming-fishing
-2.87093917808974 -0.11527416060659715 occupation=Transport-moving
-0.5697590344365575 1.733700274879641 occupation=Priv-house-serv
0.5500028839371588 -0.44503198860688103 occupation=Protective-serv
0.0031247942504009836 1.1466881948357335 occupation=Armed-Forces
-3.961306055439991 -1.095713985600487 relationship=Wife
3.917383811938928 3.7447325892024113 relationship=Own-child
-2.9296602440743778 0.7267990700679985 relationship=Husband
-0.8632081588032438 -1.0367592249694981 relationship=Not-in-family
1.1579764096615506 0.7396240039128973 relationship=Other-relative
2.1516713480794 -0.26749279405730175 relationship=Unmarried
-0.2972890719029854 -0.4976155929672404 race=White
-2.396776530348096 -1.7980795292847378 race=Asian-Pac-Islander
2.7535490481987916 1.255763332514295 race=Amer-Indian-Eskimo
1.8663184151623138 4.370145065660945 race=Other
-0.9451488620206212 -0.5532368974094386 race=Black
1.981578066178776 0.026909086442968813 sex
0.9520156079960008 -6.4275660584303544 capital-gain
-2.333369946431923 -2.8850296177709622 capital-loss
-1.0021275195119257 -3.3517624859116837 hours-per-week
0.7530297361647433 -0.3804497664760349 native-country=United-States
-0.36386941794528943 -4.330273113134609 native-country=Cambodia
-1.3911243136535183 0.3453556436200623 native-country=England
0.04468864937132483 -0.3633965413332622 native-country=Puerto-Rico
2.0557951266721513 -0.9945413911631965 native-country=Canada
-1.0655325601941872 -1.096168755549314 native-country=Germany
0.5752801851131087 1.222140389119173 native-country=Outlying-US(Guam-USVI-etc)
2.4551029078379774 2.843525645388387 native-country=India
0.2679682760335726 4.419081651972075 native-country=Japan
0.5582660259629162 1.8241892195968339 native-country=Greece
-4.184241355220986 -0.85958660297807 native-country=South
0.4453576987997971 1.7941362946059303 native-country=China
0.9685090273551961 1.4495874038837668 native-country=Cuba
2.591346835294678 -3.3637660500902653 native-country=Iran
0.5626833699829414 0.9767784567567399 native-country=Honduras
-0.15081650377514144 -1.334480041216454 native-country=Philippines
2.5222230216125987 -0.8792423716089993 native-country=Italy
-3.3546368752305393 0.14108973473463096 native-country=Poland
-2.883410065385082 -3.759734288491819 native-country=Jamaica
-4.558028593942854 0.12369319589196569 native-country=Vietnam
2.244878763985504 1.119078387666346 native-country=Mexico
-1.4812418018622413 -1.646310624124912 native-country=Portugal
2.7634631988229734 -1.5251288866331871 native-country=Ireland
0.9344714276231945 -0.760703062113593 native-country=France
1.9365943684138687 -0.3640599634087423 native-country=Dominican-Republic
0.48917446105015644 1.8166336271324355 native-country=Laos
0.6272646272810609 1.1859874158485377 native-country=Ecuador
1.5849319134515814 0.9303715132569138 native-country=Taiwan
-0.49834577822173487 2.500803469407658 native-country=Haiti
-1.1131057767559662 4.098043636361344 native-country=Columbia
-0.1211351782911428 0.920639172334129 native-country=Hungary
1.0126159552719616 -1.9505198317180854 native-country=Guatemala
-0.3683178793438639 2.3027093794502953 native-country=Nicaragua
-0.9024042196252018 0.3459609112269195 native-country=Scotland
0.3933605815587176 2.2240789754944026 native-country=Thailand
-0.8659241655337313 1.2608010541437138 native-country=Yugoslavia
-2.79554612562533 -0.45886853248234405 native-country=El-Salvador
-0.1078559469881593 1.193297937264623 native-country=Trinadad&Tobago
3.081137994280663 1.4815057190629068 native-country=Peru
0.5131588112086504 -0.5274051082294533 native-country=Hong
-0.6210667049178342 1.1961715979467706 native-country=Holand-Netherlands
Hidden Weights:
2.220176042052031 -2.220176042052031
-3.9111115341649656 3.911111534164965
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4285 85.4437 %
Incorrectly Classified Instances 730 14.5563 %
Mean absolute error 0.259
Root mean squared error 0.3286
Relative absolute error 70.145 %
Root relative squared error 76.4829 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
727 498 | a = >50K
232 3558 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13597 83.5145 %
Incorrectly Classified Instances 2684 16.4855 %
Mean absolute error 0.2693
Root mean squared error 0.3439
Relative absolute error 73.7535 %
Root relative squared error 80.9503 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2097 1749 | a = >50K
935 11500 | b = <=50K
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