Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 0.8949328254180033 -0.4914821189910643 age 0.6780605605487289 -0.7957974943944035 workclass=Private -0.3569159956897865 -0.40304476633922093 workclass=Self-emp-not-inc 0.18430346626049388 0.2436511926227405 workclass=Self-emp-inc 0.11587001243951955 -0.8185163426293989 workclass=Federal-gov 0.3616359401079605 -0.6519500141268351 workclass=Local-gov 0.7751886263006376 -0.554620406504285 workclass=State-gov 0.11328740573910046 -0.923540782375843 workclass=Without-pay 0.9299607683510602 -0.7234605451914329 workclass=Never-worked -0.06627211515531028 -0.5750983218456645 fnlwgt -0.3352561920846824 -0.3324637095268306 education=Bachelors -0.4121732731308587 -0.7269821100614267 education=Some-college -0.4283763135573666 -0.21063815439537192 education=11th 0.3902702408817369 0.9577577044216259 education=HS-grad 0.3428566332180991 -0.09892646329632848 education=Prof-school 0.6468031188336785 -0.45537403133216925 education=Assoc-acdm 0.5462356970640603 0.15933752294228865 education=Assoc-voc 0.23295862586300675 0.9452248300604889 education=9th 0.1470786050587356 -0.8900853201348371 education=7th-8th -0.3918741828787702 0.6440694578341835 education=12th -0.023915153388947674 -0.14088341947675942 education=Masters 0.8809535674908606 0.6764158216940155 education=1st-4th -0.24413738780013516 -0.9624448374788541 education=10th -0.8371416777188165 0.8393923754362047 education=Doctorate 0.3441906709981133 0.3002610944188673 education=5th-6th -0.6048299665834043 0.5870875918045049 education=Preschool 0.35132546736402825 0.5943445706037933 education-num 0.356363990237226 0.2911809961597607 marital-status=Married-civ-spouse -0.4670970807531354 0.3244594571185473 marital-status=Divorced 0.611771340797516 0.6457266772892236 marital-status=Never-married 0.608985446981426 -0.8672064928955441 marital-status=Separated -0.059216491744122024 0.030076976282744416 marital-status=Widowed -0.8579183146077201 -0.2217080586777962 marital-status=Married-spouse-absent 0.16625156457133672 0.15868105484890038 marital-status=Married-AF-spouse 0.5197846563160344 -0.23778777588439537 occupation=Tech-support 0.43667404355141604 0.8503767277624668 occupation=Craft-repair 0.09705142145190293 0.3355491860464974 occupation=Other-service 0.7117570025037043 0.22132826130217764 occupation=Sales -0.7061530689230329 0.4887525311100427 occupation=Exec-managerial 0.5326555170500868 0.9922149243261249 occupation=Prof-specialty -0.4805876989372311 -0.16537932648561982 occupation=Handlers-cleaners -0.10493850105766733 0.3176597416289222 occupation=Machine-op-inspct 0.777062921548638 -0.9608100136007782 occupation=Adm-clerical 0.18042472829135736 0.9789692744115781 occupation=Farming-fishing -0.26581698438583934 -0.06051421444696192 occupation=Transport-moving 0.35087733574023083 -0.21644693661403291 occupation=Priv-house-serv 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0.7440942717375922 native-country=United-States 0.0911092249718577 -0.7462311857778203 native-country=Cambodia 0.2055882503253148 0.5236238978851191 native-country=England 0.021299481778628282 0.30709752939374213 native-country=Puerto-Rico 0.805135286290005 -0.40940951978536 native-country=Canada -0.25033594821417715 0.09174830815847512 native-country=Germany -0.4147875374411929 -0.385461345887804 native-country=Outlying-US(Guam-USVI-etc) 0.3029808119775501 -0.6865294229762668 native-country=India -0.5790169930379339 -0.4621254387313041 native-country=Japan -0.34289959362558253 -0.0297346045521496 native-country=Greece -0.8267329533075916 -0.5156665636981652 native-country=South 0.7912435804324249 -0.30027219448854936 native-country=China 0.20861701008589506 -0.7515366014444052 native-country=Cuba 0.4885549220659735 -0.16380795150175365 native-country=Iran 0.5125563917860256 0.0030727456479644477 native-country=Honduras 0.8908234292819641 -0.7389582033287967 native-country=Philippines 0.8044710187002386 0.847160323163284 native-country=Italy -0.2991209043893197 -0.7538368577436945 native-country=Poland 0.12908528552729948 -0.10883260000010542 native-country=Jamaica -0.39831268497989436 0.7359169031501402 native-country=Vietnam 0.686482343408062 0.4992171807603525 native-country=Mexico 0.34261182758790243 0.5688312339390864 native-country=Portugal -0.7418758999940664 -0.6921361052741206 native-country=Ireland -0.584540624277686 -0.5931440025841186 native-country=France -0.2030641717438757 0.9150198335258883 native-country=Dominican-Republic -0.8407194854818303 -0.7633850897502186 native-country=Laos -0.3993668383232698 -0.6528162600436218 native-country=Ecuador 0.31573855761060377 -0.4284650634963647 native-country=Taiwan 0.22322486916028939 -0.7973778069381863 native-country=Haiti 0.7971913556418357 0.47266146542926335 native-country=Columbia -0.1370850277066804 0.8362707667417373 native-country=Hungary -0.012773085611719415 -0.5052238743907909 native-country=Guatemala 0.5770926535497796 0.17109580634274701 native-country=Nicaragua -0.003237847175313613 0.14725923914494943 native-country=Scotland 0.2171287952097536 0.23149584879805096 native-country=Thailand -0.3547711755545071 0.6488764973616254 native-country=Yugoslavia -0.43356599527624273 -0.19319860269223743 native-country=El-Salvador -0.3081602845519287 -0.9160488566607254 native-country=Trinadad&Tobago -0.35743282535581167 0.7455588109596938 native-country=Peru 0.1412216773206556 0.68461271407728 native-country=Hong 0.5447521365193917 0.20133001268684447 native-country=Holand-Netherlands Hidden Weights: 0.36736018123103964 0.1142177419050252 0.18183953063064395 0.6475099373014641 >50K <=50K Error sum for iteration 100 = 818.6851570117473 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 1.086552285064503 -0.889122872087604 age 0.14942681045588302 -0.15883940986872325 workclass=Private -0.590009160687089 0.19867477891857868 workclass=Self-emp-not-inc 0.4979904359907425 -0.7821877739898851 workclass=Self-emp-inc 0.1405005163171037 -1.025533176994917 workclass=Federal-gov -0.002545051357772506 0.13572512589260108 workclass=Local-gov 0.44189657667232274 0.1052735153577032 workclass=State-gov 0.03154490511026329 -0.8148123781971661 workclass=Without-pay 0.8497857694706681 -0.6193192588670471 workclass=Never-worked -0.21240987346725976 -0.2738304362899277 fnlwgt -0.2709543651496804 -0.4937685649734017 education=Bachelors -0.5326399328666793 0.10368599332770306 education=Some-college -0.708375592448946 0.5345507608670298 education=11th 0.12332307582309054 0.33176693618134656 education=HS-grad 0.6035531674048645 -0.9024046679256196 education=Prof-school 0.230697529514672 -0.12401810019721482 education=Assoc-acdm 0.3393582792826034 0.36457942331667226 education=Assoc-voc 0.018578478550175553 1.4205450385801193 education=9th 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0.3344546952247692 -0.27308298778072065 occupation=Tech-support 0.23825116426990042 0.35743602039525374 occupation=Craft-repair -0.17331098766286393 0.9293858163776899 occupation=Other-service 0.4236500695345411 0.3561087382056352 occupation=Sales 0.029711589709927905 -0.6439536183591735 occupation=Exec-managerial 0.6800302160258315 0.4787391165993579 occupation=Prof-specialty -0.7828291142021684 0.4997776711658597 occupation=Handlers-cleaners -0.22534443005620503 0.6956843206677642 occupation=Machine-op-inspct -0.045612006001437264 0.6692574729722228 occupation=Adm-clerical -0.1659129923990224 1.6352743748971845 occupation=Farming-fishing -0.39193616856162583 0.39921407055847863 occupation=Transport-moving 0.20040653916309983 0.011172291111478841 occupation=Priv-house-serv 0.18203271994378784 0.33927891583972014 occupation=Protective-serv -0.17940280516212642 -0.47455488224409303 occupation=Armed-Forces 0.3716701374247315 -0.3970109618802231 relationship=Wife -1.0685748985904922 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0.5074888199586173 native-country=Puerto-Rico 0.7606295257110136 -0.31517677931501836 native-country=Canada -0.2848700114076168 0.06403197972293491 native-country=Germany -0.5047239407292355 -0.2646544072069663 native-country=Outlying-US(Guam-USVI-etc) -0.021742877439348884 -0.13782842593790248 native-country=India -0.7423535600088017 -0.21661849987355758 native-country=Japan -0.4621445692620054 0.11890805264090733 native-country=Greece -0.9192425575569372 -0.4509426261765069 native-country=South 0.5861702450632903 0.07665364382164382 native-country=China -0.1559874302617374 -0.12157655715093542 native-country=Cuba 0.5656898224742448 -0.44163003764922715 native-country=Iran 0.4046437814372954 0.16971250557001288 native-country=Honduras 0.7996762635644172 -0.6096939019621097 native-country=Philippines 0.8953274814963507 0.5776600132485056 native-country=Italy -0.5398211477142907 -0.3654897291939772 native-country=Poland 0.15524782456671038 -0.23459013112475607 native-country=Jamaica 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native-country=Thailand -0.44832081772067217 0.7776169712192432 native-country=Yugoslavia -0.5729320257954532 0.006992014570398864 native-country=El-Salvador -0.4455172550284054 -0.6998131042387908 native-country=Trinadad&Tobago -0.43272743465354374 0.8244296029016237 native-country=Peru 0.0588285126541785 0.7944743734516868 native-country=Hong 0.4645771376390544 0.305471299011194 native-country=Holand-Netherlands Hidden Weights: 1.9280929229849186 -1.8745395200032562 -3.24560745563099 3.2767532212916475 >50K <=50K Error sum for iteration 200 = 821.8904427284087 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 1.193064354247735 -0.9518037873087619 age -0.11499245683112594 -0.29328712890658926 workclass=Private -0.3140806494483298 0.4065103843086639 workclass=Self-emp-not-inc 0.38622719481860657 -0.7117625400300914 workclass=Self-emp-inc 0.0790139619966463 -0.9345213934234513 workclass=Federal-gov -0.04275251813996226 0.15057679769902385 workclass=Local-gov 0.45959305203221534 0.17494624988863666 workclass=State-gov 0.018751602432357708 -0.7922379407402679 workclass=Without-pay 0.8366494464279663 -0.5965243423551682 workclass=Never-worked -0.19821378061656422 -0.24384097017321266 fnlwgt -0.5101772019560112 -0.594186927418209 education=Bachelors -0.32730283747633554 0.2573005247150538 education=Some-college -0.6353361880801052 0.637844537834531 education=11th -0.1236747359460202 0.22357651117019856 education=HS-grad 0.5850982803187076 -0.6656576066250772 education=Prof-school 0.06984699515078 -0.1170831431697753 education=Assoc-acdm 0.31539867896236 0.4211962942801604 education=Assoc-voc -0.020682843919000615 1.3915128490032467 education=9th -0.5260516886157699 0.470692031985262 education=7th-8th -0.5758871415121024 1.0388762151931847 education=12th 0.28761060684151146 -0.23071454498327565 education=Masters 0.6462795532188034 1.099165092347376 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0.4233830290220882 occupation=Sales -0.010155828278308488 -0.5773251783999368 occupation=Exec-managerial 0.6616372753156117 0.5723685412856414 occupation=Prof-specialty -0.7431088503631105 0.5172920439780958 occupation=Handlers-cleaners -0.13487490261680854 0.7343826230965717 occupation=Machine-op-inspct -0.06600894644797405 0.6775734524064013 occupation=Adm-clerical -0.30701673186994394 1.7887712910157776 occupation=Farming-fishing -0.3545545869206982 0.4416481129876241 occupation=Transport-moving 0.1300109871810961 0.147458087074552 occupation=Priv-house-serv 0.301785836337649 0.22803541032561814 occupation=Protective-serv -0.21224354493650546 -0.42145952836666284 occupation=Armed-Forces 0.21946306328847429 -0.296561457728937 relationship=Wife -0.9625734120328266 1.5225936749977649 relationship=Own-child -0.4769185548466519 0.5879643446307455 relationship=Husband -0.6620503821529757 0.5213389396415054 relationship=Not-in-family -1.107604241126872 0.47536845901312474 relationship=Other-relative 0.09098835383861784 1.4430331166616877 relationship=Unmarried -0.4865618115349055 0.25811142723178626 race=White -0.7483957472315994 0.422706514395899 race=Asian-Pac-Islander 0.31934405555620843 1.6011193098275303 race=Amer-Indian-Eskimo -0.7817396497585046 1.4674506626814185 race=Other -0.6084146639424858 0.3783495277203187 race=Black 0.9741687326390754 0.3332714094958986 sex 1.2681419753706475 -1.671501681542508 capital-gain 1.5267180993889802 -1.6362540918205313 capital-loss 1.226569112452041 -2.5779098744417857 hours-per-week -0.12358533964974586 -0.44075148858130797 native-country=United-States 0.2437112730953325 -1.0296084068792095 native-country=Cambodia 0.04198283632425259 0.7554643721213681 native-country=England -0.0725185233359595 0.5356840425563422 native-country=Puerto-Rico 0.810215078803458 -0.3868993596839086 native-country=Canada -0.1952381049285017 -0.13779283862456201 native-country=Germany -0.5259837983888996 -0.22995546787636925 native-country=Outlying-US(Guam-USVI-etc) -0.22067612082764423 0.29704376472342087 native-country=India -0.8592108487898193 0.0202960145685339 native-country=Japan -0.5519619433126179 0.2401955065187751 native-country=Greece -0.929713864845589 -0.47923366773860493 native-country=South 0.4170532393282914 0.31392796291871694 native-country=China -0.38104250801497075 0.22798906036088165 native-country=Cuba 0.7262261431581478 -0.7935751642390212 native-country=Iran 0.35920453357031223 0.2362839485923296 native-country=Honduras 0.7993309420763501 -0.6013067670259852 native-country=Philippines 1.1006703300385068 0.25720323417454916 native-country=Italy -0.7358397860769469 -0.056485980586397234 native-country=Poland 0.29749416331682854 -0.5438380645026083 native-country=Jamaica -0.499355984173269 0.9153658523524497 native-country=Vietnam 0.3026745948537234 1.4697280342004828 native-country=Mexico 0.374026516618937 0.44190353547636185 native-country=Portugal -0.7002137180491105 -0.8137840784217303 native-country=Ireland -0.6283827250789222 -0.5039899456903358 native-country=France -0.055109845249437905 0.8290058603478659 native-country=Dominican-Republic -1.0194902262328036 -0.436712273945899 native-country=Laos -0.5394134412717801 -0.4448334442856703 native-country=Ecuador 0.3139885154564036 -0.47335365539087243 native-country=Taiwan -0.030823633877772337 -0.3524228543763787 native-country=Haiti 0.49953268101794246 1.1508649040352548 native-country=Columbia -0.23039634962976654 0.963206969578002 native-country=Hungary -0.01766298631563981 -0.4779980074313035 native-country=Guatemala 0.35355754421594165 0.5771281562043167 native-country=Nicaragua -0.11126722556095457 0.2913741021771199 native-country=Scotland 0.10966770132240176 0.4378211410322866 native-country=Thailand -0.479680933625375 0.8205555802425241 native-country=Yugoslavia -0.5955411563671926 0.07481616535658372 native-country=El-Salvador -0.506740449367347 -0.5859918482847272 native-country=Trinadad&Tobago -0.4235178068756852 0.7881150773006033 native-country=Peru 0.04611253143035898 0.8169129893353333 native-country=Hong 0.4514408145963167 0.3282662155230426 native-country=Holand-Netherlands Hidden Weights: 2.0320873781550044 -2.02061701956885 -3.38169081525426 3.388646028269086 >50K <=50K Error sum for iteration 300 = 814.5537660931874 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 1.1784294150749024 -0.991508378589596 age -0.2873797998630611 -0.3807537359660146 workclass=Private 0.01582483122339718 0.6861868318246886 workclass=Self-emp-not-inc 0.2734678148780839 -0.74674105781471 workclass=Self-emp-inc 0.06267568310348623 -0.9202279862408097 workclass=Federal-gov -0.14383666239411627 0.11889762694119975 workclass=Local-gov 0.45647782377436275 0.22508081796900226 workclass=State-gov 0.013572698747322596 -0.7787882067899526 workclass=Without-pay 0.8312522599352343 -0.5829623516133315 workclass=Never-worked -0.15360569817514114 -0.2154376456915461 fnlwgt -0.7710044698731408 -0.7897121391003183 education=Bachelors -0.23490445466653953 0.3308024468689112 education=Some-college -0.5165808087473884 0.7585077740517664 education=11th -0.2903554341086746 0.12687754477281968 education=HS-grad 0.688023855459568 -0.49018730902763563 education=Prof-school 0.0017708061968210365 -0.14754237419904773 education=Assoc-acdm 0.3402353600658829 0.46224924798759104 education=Assoc-voc -0.0916970036509806 1.3485537783628456 education=9th -0.5228550429690006 0.5231885247215433 education=7th-8th -0.5947956308866822 1.1334712950989703 education=12th 0.35938532535025774 -0.16745074204923419 education=Masters 0.5715978480235204 1.2039722450842745 education=1st-4th -0.9329253460328081 0.5437432887459044 education=10th 0.2731756892579979 -1.2878583655506108 education=Doctorate 0.3215124151237024 0.35655518306832934 education=5th-6th -0.7159442982565877 0.7585345999466997 education=Preschool 1.117342941970461 -1.4120974678558031 education-num 0.6552597150128646 -1.27582947948715 marital-status=Married-civ-spouse -0.33789963013079605 0.6099215817651564 marital-status=Divorced 0.514654940442727 1.6714507066771265 marital-status=Never-married -0.2537491950744285 0.2037707545147734 marital-status=Separated -0.38116674253960386 0.27071627862761416 marital-status=Widowed -1.219857612152686 0.4196137911996204 marital-status=Married-spouse-absent -0.09872864631273338 0.5690398804990168 marital-status=Married-AF-spouse 0.18414823091878943 -0.26693217617151715 occupation=Tech-support 0.160376578217545 0.3607895304258677 occupation=Craft-repair -0.2853288700655365 0.7976632141821051 occupation=Other-service 0.4174423190462688 0.4429160892099144 occupation=Sales -0.032348232360320764 -0.5969085494412882 occupation=Exec-managerial 0.6491369756667593 0.599049083925729 occupation=Prof-specialty -0.7217574012923007 0.54805556808946 occupation=Handlers-cleaners -0.04420193999142226 0.7927831176719075 occupation=Machine-op-inspct -0.08128305392366039 0.6764735972255611 occupation=Adm-clerical -0.4007099554962159 1.8268203876721762 occupation=Farming-fishing -0.3108823481510343 0.4686198914417723 occupation=Transport-moving 0.08016908141862106 0.26793572610068067 occupation=Priv-house-serv 0.33976851227028765 0.24387843846251456 occupation=Protective-serv -0.23807861621162008 -0.38155463880723617 occupation=Armed-Forces 0.15156164261245322 -0.1926984766013993 relationship=Wife -0.9712234287563556 1.5094218861882243 relationship=Own-child -0.5592580995801595 0.7266984420430997 relationship=Husband -0.6950637264028323 0.39970374615468074 relationship=Not-in-family -1.112178310699293 0.5148809382849618 relationship=Other-relative 0.2119061388957558 1.4855984115320284 relationship=Unmarried -0.49613458592982335 0.141497933861303 race=White -0.5849921350422761 0.30937329244134637 race=Asian-Pac-Islander 0.2034256473908688 1.7753663407041296 race=Amer-Indian-Eskimo -0.9276174063596273 1.800691854687141 race=Other -0.5706127613759129 0.2771138998068542 race=Black 0.9040783041722926 0.2676714008867924 sex 1.5302409968213397 -1.956314513452829 capital-gain 1.54933848700025 -1.6923758215261486 capital-loss 1.4148809980584305 -2.5655896577091406 hours-per-week -0.15045623577547898 -0.5023362640295439 native-country=United-States 0.37716999861572975 -1.2328451966158378 native-country=Cambodia 0.02366436902565767 0.7633912688655116 native-country=England -0.0093384896826915 0.5102520462500709 native-country=Puerto-Rico 0.8377141760180158 -0.4185659102671616 native-country=Canada -0.12447996828100052 -0.2664004332463022 native-country=Germany -0.5375232318921305 -0.2063028854091095 native-country=Outlying-US(Guam-USVI-etc) -0.34121650454290803 0.6115536202092994 native-country=India -0.9636170248881663 0.22240077489784288 native-country=Japan -0.6278635703894587 0.37103394086067215 native-country=Greece -0.9326324983888501 -0.4827475811153058 native-country=South 0.2702972441149294 0.4635387944029617 native-country=China -0.5117556600887521 0.44450619588457263 native-country=Cuba 0.860934011109495 -1.0596586491183955 native-country=Iran 0.32684715087658084 0.28403476081396395 native-country=Honduras 0.7756379565764019 -0.5712709599528776 native-country=Philippines 1.2319780468040684 0.05621615604593267 native-country=Italy -0.8779057342174014 0.14740757081675052 native-country=Poland 0.41766777451571163 -0.8203470976026259 native-country=Jamaica -0.5043927314883225 0.9450125791417503 native-country=Vietnam 0.2906548152581942 1.5288639248891394 native-country=Mexico 0.4396041877102784 0.3331090087386159 native-country=Portugal -0.6270955250925976 -0.9486487813519381 native-country=Ireland -0.6064813792200002 -0.5169305290831938 native-country=France 0.10056919659198814 0.7115575890984932 native-country=Dominican-Republic -1.0546099076333797 -0.34202143452534456 native-country=Laos -0.5555556723727005 -0.41364799900439514 native-country=Ecuador 0.3179598373973652 -0.5184904329781446 native-country=Taiwan -0.13200116581293214 -0.1793390217447782 native-country=Haiti 0.3600130440989732 1.443438962180105 native-country=Columbia -0.2357935361224941 0.9767689603198386 native-country=Hungary 0.040561232769336125 -0.5606608100274628 native-country=Guatemala 0.27596655277609117 0.6781156929919193 native-country=Nicaragua -0.12581793744933722 0.31098439601319305 native-country=Scotland 0.07843183064249314 0.4968967206096493 native-country=Thailand -0.5014026229081638 0.8528391021471307 native-country=Yugoslavia -0.5925717130382652 0.1324329878759029 native-country=El-Salvador -0.5495545355289472 -0.49673232295940695 native-country=Trinadad&Tobago -0.4016496540872393 0.7457321117689621 native-country=Peru 0.041060227130324624 0.830187660426799 native-country=Hong 0.44604362810359727 0.3418282062648649 native-country=Holand-Netherlands Hidden Weights: 2.115510662885355 -2.113722821416228 -3.399383839563574 3.4003921190684245 >50K <=50K Error sum for iteration 400 = 804.8208385663099 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 1.0940515365054018 -1.0746537132226874 age -0.36896256860035515 -0.41858474823044606 workclass=Private 0.34821320085949364 0.997286136144435 workclass=Self-emp-not-inc 0.10964464249371964 -0.8373887439039168 workclass=Self-emp-inc 0.040025711749768565 -0.9342269286400183 workclass=Federal-gov -0.248232800923233 0.07109947453352883 workclass=Local-gov 0.43276115577097385 0.27189828015305584 workclass=State-gov 0.009165229303683915 -0.7668816542703547 workclass=Without-pay 0.826706405347551 -0.5709925165558012 workclass=Never-worked -0.07360748262040606 -0.17513479476610885 fnlwgt -0.9701746041684166 -0.9788510462375941 education=Bachelors -0.23571287490728965 0.3355378721255594 education=Some-college -0.3716532541262648 0.8868123554814146 education=11th -0.4683497835219487 0.016451490832111212 education=HS-grad 0.8446689694486413 -0.3288580039569794 education=Prof-school -0.04183215058410921 -0.1775069084791045 education=Assoc-acdm 0.37197660057487686 0.513386556343219 education=Assoc-voc -0.18928944293829836 1.3046715349546976 education=9th -0.49638514905895526 0.5689093852574745 education=7th-8th -0.6008932464926586 1.239959693359004 education=12th 0.3926421765315456 -0.10035629751081591 education=Masters 0.49955268266715397 1.3015237346538053 education=1st-4th -0.9388952531325 0.5600237193785037 education=10th 0.345859550519498 -1.2783646464670102 education=Doctorate 0.355552806135301 0.31420940541162273 education=5th-6th -0.7215287267652772 0.7734321950177439 education=Preschool 1.1708716121733127 -1.3714791720804522 education-num 0.7126952827699473 -1.4444010419610875 marital-status=Married-civ-spouse -0.30185814023450586 0.6995283991113544 marital-status=Divorced 0.5773380856523989 1.819667852191952 marital-status=Never-married -0.32202062294953865 0.21980312752874087 marital-status=Separated -0.4510082616759477 0.26541548796874215 marital-status=Widowed -1.2794725961192819 0.47501085820947536 marital-status=Married-spouse-absent -0.1253487370131902 0.6132063566099296 marital-status=Married-AF-spouse 0.1861345681718818 -0.3019506181401009 occupation=Tech-support 0.22185289594149943 0.40735615077945864 occupation=Craft-repair -0.4106754730074724 0.743911210073921 occupation=Other-service 0.4433164321607437 0.4606903330540513 occupation=Sales 3.30833853888638E-4 -0.5961725715273279 occupation=Exec-managerial 0.6521270094381426 0.6371575635579363 occupation=Prof-specialty -0.7165699400561367 0.5953757523600753 occupation=Handlers-cleaners 0.03621541094661287 0.851820063815721 occupation=Machine-op-inspct -0.11324915349413942 0.6725578410741935 occupation=Adm-clerical -0.5306569633798913 1.7882921884714005 occupation=Farming-fishing -0.2667525282612638 0.5109736826559547 occupation=Transport-moving 0.03998614788140621 0.3766793277782153 occupation=Priv-house-serv 0.3370452108424491 0.24379401864312658 occupation=Protective-serv -0.2626619719208295 -0.3475592913433719 occupation=Armed-Forces 0.15968018421104874 -0.07592464768385725 relationship=Wife -1.000814261607297 1.5080184054000267 relationship=Own-child -0.6900560007309714 0.7806207794758184 relationship=Husband -0.6790064178214722 0.32716816936331355 relationship=Not-in-family -1.1044126229791331 0.5592916869432697 relationship=Other-relative 0.27671137076958774 1.5120082449083536 relationship=Unmarried -0.5475628883075475 0.043371209877183306 race=White -0.47994443171964507 0.24132688545826914 race=Asian-Pac-Islander 0.15156219408228555 1.8993576432255292 race=Amer-Indian-Eskimo -1.051038464079524 2.0307076270588986 race=Other -0.5080437609324582 0.2448878116287533 race=Black 0.7478290559832214 0.1539432980291184 sex 1.75588776223774 -2.170050772220629 capital-gain 1.5605388390774102 -1.7089192446616288 capital-loss 1.5349898672229603 -2.5334303597099637 hours-per-week -0.21598503572681535 -0.5842292976020261 native-country=United-States 0.5091809059919556 -1.4330612835382668 native-country=Cambodia 0.008546199914392053 0.7680816707108005 native-country=England 0.07736995670398712 0.473166460147442 native-country=Puerto-Rico 0.8593255265174101 -0.42548910980535226 native-country=Canada -0.062310466776531445 -0.33253089067007213 native-country=Germany -0.5470910238735228 -0.18566172634822292 native-country=Outlying-US(Guam-USVI-etc) -0.4373273639230095 0.850094464473067 native-country=India -1.0555982366465924 0.3892474804318402 native-country=Japan -0.6884401261419859 0.5018989070272537 native-country=Greece -0.9319137313391641 -0.4586833918629095 native-country=South 0.1458968754046833 0.5594119029373463 native-country=China -0.5836509326357715 0.5930695483113017 native-country=Cuba 0.9759482096232289 -1.25797676830861 native-country=Iran 0.29906291248543687 0.32482111505508177 native-country=Honduras 0.7315597441718374 -0.5287999638063431 native-country=Philippines 1.3028526931103674 -0.05347975629342688 native-country=Italy -0.9822946040848379 0.2855358997846014 native-country=Poland 0.5110708630385749 -1.049328252302345 native-country=Jamaica -0.5051615456665439 0.9716168500638734 native-country=Vietnam 0.29192945851653207 1.5737512917234084 native-country=Mexico 0.4929484713982808 0.24331983606413451 native-country=Portugal -0.5595736264608213 -1.0790439148915223 native-country=Ireland -0.5860067807758282 -0.5290970208254356 native-country=France 0.2460688233696381 0.6129879204635923 native-country=Dominican-Republic -1.0856737820378024 -0.25927281968786803 native-country=Laos -0.5687057813413443 -0.3867279674884559 native-country=Ecuador 0.3051603105281413 -0.5411362802140255 native-country=Taiwan -0.22414639224725072 -0.032678977752868515 native-country=Haiti 0.2182639983397832 1.6869957557270758 native-country=Columbia -0.24033939071018942 0.988738795377369 native-country=Hungary 0.09786306054804843 -0.63782010507733 native-country=Guatemala 0.19783044196727315 0.7628429504011854 native-country=Nicaragua -0.13964624475421916 0.32798608927009626 native-country=Scotland 0.043531900628987416 0.553909524634749 native-country=Thailand -0.518621166310379 0.8820601758654221 native-country=Yugoslavia -0.5695719793303736 0.19883521426099796 native-country=El-Salvador -0.5851476900283279 -0.422071090651225 native-country=Trinadad&Tobago -0.3791735412436822 0.7046469925651839 native-country=Peru 0.036784422717574 0.8419503708091021 native-country=Hong 0.4414977735158958 0.35379804132238374 native-country=Holand-Netherlands Hidden Weights: 2.2732650388933306 -2.2730975383946657 -3.394702609544922 3.394775606264213 >50K <=50K Error sum for iteration 500 = 787.7074670299859 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 1.0237202388344844 -1.2001545601529964 age -0.39198577079330915 -0.4108738683744579 workclass=Private 0.7142472238319907 1.3509954148972525 workclass=Self-emp-not-inc -0.12550650720058137 -0.9934135996317409 workclass=Self-emp-inc 0.006694888004662446 -0.9636915216720828 workclass=Federal-gov -0.34645266124483115 0.026468541948511833 workclass=Local-gov 0.3985303477984785 0.3046561798758931 workclass=State-gov 0.0051433038791346185 -0.7552222760525265 workclass=Without-pay 0.8225768222556566 -0.5592780462088128 workclass=Never-worked 0.03607405311900794 -0.12552246077745716 fnlwgt -1.0259554577022711 -1.1011014562014132 education=Bachelors -0.3069160792181282 0.2746315371951072 education=Some-college -0.22257109705306427 1.0052439401133437 education=11th -0.7043302185170465 -0.11358367486790397 education=HS-grad 1.0015219205237178 -0.13301134557479993 education=Prof-school -0.08711885831785217 -0.2338052223093598 education=Assoc-acdm 0.4235799099464316 0.5542451879435689 education=Assoc-voc -0.2876414140454117 1.265827142792381 education=9th -0.4624890327050503 0.6182418622609903 education=7th-8th -0.5862636475007784 1.3527962933643118 education=12th 0.39242104329377087 -0.04396556955259638 education=Masters 0.43643483387897913 1.393802051241319 education=1st-4th -0.9838366790629037 0.5693491175057921 education=10th 0.41463715239958787 -1.2443774922486426 education=Doctorate 0.40153533546767317 0.2785663052641857 education=5th-6th -0.7265794054119703 0.7892696515646013 education=Preschool 1.2490962562311465 -1.300951947996171 education-num 0.7438926233161007 -1.5927322235227606 marital-status=Married-civ-spouse -0.2521560367792392 0.7835299316128824 marital-status=Divorced 0.6066132059865348 1.967638733297114 marital-status=Never-married -0.3659396052467775 0.24636061021085967 marital-status=Separated -0.5159778304465507 0.2646192081444913 marital-status=Widowed -1.323599461073668 0.5065937733489442 marital-status=Married-spouse-absent -0.1444516317050334 0.6479380617721798 marital-status=Married-AF-spouse 0.1958094599638478 -0.3398416059899076 occupation=Tech-support 0.2818517668828181 0.44425626420765385 occupation=Craft-repair -0.49856098165143536 0.7216206701604049 occupation=Other-service 0.45502996795331274 0.4528883212483699 occupation=Sales 0.1211483933231862 -0.5513012704930017 occupation=Exec-managerial 0.7299507176994274 0.7148433851898821 occupation=Prof-specialty -0.7204376478583087 0.6785731030221884 occupation=Handlers-cleaners 0.09399354899629525 0.9006920623062967 occupation=Machine-op-inspct -0.18698879521178205 0.6610467861206882 occupation=Adm-clerical -0.6977228867212001 1.687722073742931 occupation=Farming-fishing -0.21336034448602606 0.5852489044256447 occupation=Transport-moving 0.006796445998550505 0.4760871650038494 occupation=Priv-house-serv 0.2440318289162964 0.18621947620890267 occupation=Protective-serv -0.2859498227098814 -0.31741133626727336 occupation=Armed-Forces 0.2287007476483547 0.061965534582006904 relationship=Wife -1.0332245997984686 1.5111145061482587 relationship=Own-child -0.8845799571262852 0.770664665895674 relationship=Husband -0.5951083498605333 0.3111948610221635 relationship=Not-in-family -1.086556435967807 0.6000415632116962 relationship=Other-relative 0.27505668365981606 1.520204092404795 relationship=Unmarried -0.6146004262096505 -0.03237364086355015 race=White -0.43091964821914214 0.1825035665439077 race=Asian-Pac-Islander 0.15759815349213344 2.005810243267208 race=Amer-Indian-Eskimo -1.1735557395094416 2.20950886986023 race=Other -0.4272342707055462 0.24649025295146598 race=Black 0.5448428438756746 0.017488303439401397 sex 1.9769034596830168 -2.336392389064476 capital-gain 1.5921266086665598 -1.7275050639043077 capital-loss 1.583388390714743 -2.5558745700656367 hours-per-week -0.3259948267044891 -0.6910225795161369 native-country=United-States 0.6408332466280893 -1.6256622757419439 native-country=Cambodia -0.01985352256011061 0.767986082263158 native-country=England 0.18081974857033653 0.4406384520754463 native-country=Puerto-Rico 0.887158473183418 -0.43058586955316525 native-country=Canada 0.0024362262977070453 -0.34968334091890774 native-country=Germany -0.5560653214577976 -0.1670689963402348 native-country=Outlying-US(Guam-USVI-etc) -0.5376072931682222 1.0325219267122598 native-country=India -1.1379471831149848 0.5299438223726076 native-country=Japan -0.7215535012088037 0.6288262898378941 native-country=Greece -0.9304711646793967 -0.4094060106754457 native-country=South 0.03773306253666213 0.6207161866467257 native-country=China -0.6190248191213014 0.7021419291732539 native-country=Cuba 1.0741222105476864 -1.3972818622611058 native-country=Iran 0.2740889765292273 0.36042699891768365 native-country=Honduras 0.6740676831030087 -0.48601347567271114 native-country=Philippines 1.3320300942898287 -0.10385067103319774 native-country=Italy -1.0537035616717505 0.38283840261487706 native-country=Poland 0.5922820236880281 -1.2362773982070108 native-country=Jamaica -0.5002231956602362 0.9991249699741778 native-country=Vietnam 0.31114356519965036 1.6197208844677835 native-country=Mexico 0.5416381200795972 0.16776275990632572 native-country=Portugal -0.505525634306698 -1.2020113200385156 native-country=Ireland -0.568798608367721 -0.5387836076745594 native-country=France 0.3710998457447463 0.5422885711020285 native-country=Dominican-Republic -1.1123655891159243 -0.18717674219378105 native-country=Laos -0.5796194442806881 -0.361402119370704 native-country=Ecuador 0.28494291968299995 -0.5532372764045772 native-country=Taiwan -0.3123867173309899 0.08820245539935255 native-country=Haiti 0.06907531164970046 1.884710702234304 native-country=Columbia -0.24446897380208918 1.0004532657243508 native-country=Hungary 0.15272556162778747 -0.7036726277260014 native-country=Guatemala 0.12397326220984853 0.8353659759095775 native-country=Nicaragua -0.15301023149113377 0.3439637107536073 native-country=Scotland 0.01643527468844094 0.610844298602581 native-country=Thailand -0.5313841945623254 0.9110284555045586 native-country=Yugoslavia -0.5235626601198666 0.2747679683374887 native-country=El-Salvador -0.6153926358593771 -0.35995353668558744 native-country=Trinadad&Tobago -0.363898597687259 0.6654419451034518 native-country=Peru 0.03284741452416785 0.8535488320135639 native-country=Hong 0.43736819042399055 0.3655125116693698 native-country=Holand-Netherlands Hidden Weights: 2.5211924856742263 -2.521183321230763 -3.397769100348426 3.3977710820402236 >50K <=50K Error sum for iteration 600 = 770.7378885081641 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 1.0053383957396018 -1.3185417001981796 age -0.4043949480441127 -0.40230411586179754 workclass=Private 1.0356014789326558 1.6913140996925784 workclass=Self-emp-not-inc -0.3553089931007571 -1.150697976283651 workclass=Self-emp-inc -2.473676762268083E-4 -0.9894763398813073 workclass=Federal-gov -0.44174295140381814 -0.009563101224474619 workclass=Local-gov 0.3699638049550155 0.31756531164728274 workclass=State-gov 0.0015676153752361883 -0.7451039580470088 workclass=Without-pay 0.8188946765731504 -0.5490903762720866 workclass=Never-worked 0.1461854006972774 -0.0697201167200129 fnlwgt -0.9724598482076465 -1.1491048517682274 education=Bachelors -0.42666325179210157 0.1774707990558349 education=Some-college -0.09428116572090178 1.1038643851089527 education=11th -0.8942411774737821 -0.20804706390724453 education=HS-grad 1.1350459943288251 0.0597958702698662 education=Prof-school -0.15373106417730523 -0.3221811143641431 education=Assoc-acdm 0.47141421991143506 0.5726424746097885 education=Assoc-voc -0.36720431588272157 1.2423350191200402 education=9th -0.43722239834414844 0.662129411231662 education=7th-8th -0.5453760713773184 1.464510247829503 education=12th 0.3714250359329425 -0.030396427901193686 education=Masters 0.38074453198569497 1.4811027610527667 education=1st-4th -1.0557175059606554 0.5757463518944506 education=10th 0.4556695092520426 -1.2096490023254034 education=Doctorate 0.4518198126225345 0.25163116852246376 education=5th-6th -0.7311654955011012 0.8047823785431701 education=Preschool 1.3219982433998851 -1.2486387039107438 education-num 0.8043027348081134 -1.689832103549369 marital-status=Married-civ-spouse -0.21914005539067088 0.8512693029895012 marital-status=Divorced 0.577977376782859 2.084459809971408 marital-status=Never-married -0.3973140403932655 0.26997613384601743 marital-status=Separated -0.5642171954050247 0.25913770127789815 marital-status=Widowed -1.3496841366159937 0.5262370736444527 marital-status=Married-spouse-absent -0.15877560497211907 0.6755152257344397 marital-status=Married-AF-spouse 0.19635827174639264 -0.3767007867913119 occupation=Tech-support 0.31441893196064674 0.4642428865899966 occupation=Craft-repair -0.5073749383901228 0.7341559152174737 occupation=Other-service 0.42261037982902694 0.4165723151239469 occupation=Sales 0.2833062269520135 -0.48559925215480626 occupation=Exec-managerial 0.8251593611100435 0.7919922154315652 occupation=Prof-specialty -0.7032828071921706 0.7739366770063512 occupation=Handlers-cleaners 0.13802028835157365 0.9404899590331945 occupation=Machine-op-inspct -0.2707379744369859 0.6421855199456408 occupation=Adm-clerical -0.8456625342110751 1.595057257194031 occupation=Farming-fishing -0.14264805479976217 0.6664000963828192 occupation=Transport-moving -0.020478006019634887 0.5646734264974741 occupation=Priv-house-serv 0.061965713046870104 0.08897762396237442 occupation=Protective-serv -0.3070704118667409 -0.2916111159442828 occupation=Armed-Forces 0.2954558224617867 0.18817424637556424 relationship=Wife -1.052510987248287 1.5122413137562787 relationship=Own-child -1.0363085372506216 0.7747131697734392 relationship=Husband -0.5068306228967195 0.31243548915000974 relationship=Not-in-family -1.062657315359901 0.6263374410268512 relationship=Other-relative 0.2155896892938495 1.50391094229658 relationship=Unmarried -0.6456330536909931 -0.07079656513218209 race=White -0.4394558418394205 0.09957826770282023 race=Asian-Pac-Islander 0.19251358675379002 2.100612390921484 race=Amer-Indian-Eskimo -1.298876031007088 2.355448982612079 race=Other -0.34512848524043116 0.25953592483231397 race=Black 0.3877356496855397 -0.0861638071232363 sex 2.205167302587957 -2.4751739257259717 capital-gain 1.6438903822867594 -1.7696804579012324 capital-loss 1.5925905564030716 -2.6360641755482384 hours-per-week -0.417329496384175 -0.7869720006585528 native-country=United-States 0.7784366628550945 -1.810462788541123 native-country=Cambodia -0.07129809178813043 0.7580313158028261 native-country=England 0.28677562214554586 0.41837277439566667 native-country=Puerto-Rico 0.9061791393540791 -0.4464321588143848 native-country=Canada 0.05412097718073821 -0.3372506252019464 native-country=Germany -0.5654228360856985 -0.15152602033537255 native-country=Outlying-US(Guam-USVI-etc) -0.6460228459951383 1.1681278359686265 native-country=India -1.2196090958951065 0.6501141789523054 native-country=Japan -0.7186436751730371 0.7513745801442964 native-country=Greece -0.9353777695804987 -0.34699220545645876 native-country=South -0.06052816768880097 0.6553233746228956 native-country=China -0.6377435602232169 0.7789683116765153 native-country=Cuba 1.148832821632611 -1.486151718540428 native-country=Iran 0.25084443202185935 0.3896223329535199 native-country=Honduras 0.6182440754956338 -0.45266023954175344 native-country=Philippines 1.3301860481818442 -0.1288583288359819 native-country=Italy -1.0971684750019228 0.4490997703578271 native-country=Poland 0.6828033752721389 -1.3883922048723811 native-country=Jamaica -0.48911308950594656 1.0272924516806372 native-country=Vietnam 0.33641323737333634 1.6658267610258624 native-country=Mexico 0.5931427013197524 0.0997416382430366 native-country=Portugal -0.46715333142232573 -1.3194451172255317 native-country=Ireland -0.553047954735302 -0.5482631568172776 native-country=France 0.46302969880760214 0.49857226528697973 native-country=Dominican-Republic -1.1345229746086822 -0.12463282325464124 native-country=Laos -0.5884692326602918 -0.33901439569703906 native-country=Ecuador 0.26759166745421725 -0.5628362469272158 native-country=Taiwan -0.4022756975659298 0.1877261237355452 native-country=Haiti -0.08465289619089804 2.03943943002474 native-country=Columbia -0.24815111948458995 1.0106409356611 native-country=Hungary 0.20348152327689964 -0.7606528659672364 native-country=Guatemala 0.05828478094115889 0.8958840599693035 native-country=Nicaragua -0.16564308779303866 0.3578102011438097 native-country=Scotland 0.007748562971015979 0.6667778776839747 native-country=Thailand -0.5410259696384442 0.9391512307668765 native-country=Yugoslavia -0.4600905344180412 0.35200890756361497 native-country=El-Salvador -0.6416849139128535 -0.3105907647872216 native-country=Trinadad&Tobago -0.36059119510408266 0.6267350739524536 native-country=Peru 0.029303036322664983 0.8636755624583642 native-country=Hong 0.4336860447414871 0.37570018160607366 native-country=Holand-Netherlands Hidden Weights: 2.7516679801356045 -2.7516676755307357 -3.3898757970081657 3.3898758047954467 >50K <=50K Error sum for iteration 700 = 757.862844723339 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 0.99613605090977 -1.4110188864799973 age -0.43412465369772174 -0.4153770412375422 workclass=Private 1.2196968650028424 1.95281371976197 workclass=Self-emp-not-inc -0.5012662363317397 -1.2599389269453898 workclass=Self-emp-inc 0.023892105802046013 -1.004266389226286 workclass=Federal-gov -0.5114388283793754 -0.03129919159741667 workclass=Local-gov 0.3589613187892193 0.33211870412618666 workclass=State-gov -0.001762440061649083 -0.7368195576477006 workclass=Without-pay 0.8154626427122185 -0.5407238831259852 workclass=Never-worked 0.24155480488006606 -0.011923237541927341 fnlwgt -0.9131414200277601 -1.1711272102048658 education=Bachelors -0.5371708453710582 0.09617652933837641 education=Some-college -0.0011270489397352595 1.1935677316127247 education=11th -0.9766619437308363 -0.2582590269270701 education=HS-grad 1.245226294914384 0.21365408404021607 education=Prof-school -0.22569256123009507 -0.4110559649440319 education=Assoc-acdm 0.4915265755721109 0.57738970052343 education=Assoc-voc -0.4355274039605794 1.2311979817187926 education=9th -0.4211136405776013 0.691615079990918 education=7th-8th -0.4860164535374056 1.5724333884341497 education=12th 0.3348077113619402 -0.05230665266964847 education=Masters 0.3262887233118914 1.5651492579713273 education=1st-4th -1.1323397330912397 0.569772532405498 education=10th 0.47968359892310897 -1.1940725430566812 education=Doctorate 0.4925430058739894 0.2343571699003616 education=5th-6th -0.735596862558284 0.8189361843461596 education=Preschool 1.3767211897828884 -1.238124249337368 education-num 0.883286412363899 -1.7528917370741854 marital-status=Married-civ-spouse -0.212813432781659 0.9010760551705463 marital-status=Divorced 0.5258989157520031 2.1576858030602093 marital-status=Never-married -0.4276182477776345 0.2837353508967938 marital-status=Separated -0.5893172715001269 0.26132215204747317 marital-status=Widowed -1.3672065062013015 0.5533831700711637 marital-status=Married-spouse-absent -0.17056129895565017 0.6979497469342908 marital-status=Married-AF-spouse 0.18656285925351013 -0.41160593956596603 occupation=Tech-support 0.33124130890314574 0.4810047362600186 occupation=Craft-repair -0.47140595731219437 0.7589802940610919 occupation=Other-service 0.3824407472569032 0.38468374615356665 occupation=Sales 0.40479685438371055 -0.43887944786297156 occupation=Exec-managerial 0.8782000439766338 0.8389109413790861 occupation=Prof-specialty -0.65819809924513 0.8469465691571111 occupation=Handlers-cleaners 0.1777162447353014 0.9756015952386258 occupation=Machine-op-inspct -0.3160002619198243 0.6328980487748485 occupation=Adm-clerical -0.9496829652409189 1.550444190301334 occupation=Farming-fishing -0.08564957531642588 0.7216024413173043 occupation=Transport-moving -0.04358522300328726 0.6426849595309718 occupation=Priv-house-serv -0.14149756298262903 -0.004662767170134217 occupation=Protective-serv -0.3258587123497611 -0.2697737808655245 occupation=Armed-Forces 0.31459009695576834 0.2708336561905899 relationship=Wife -1.054544881779726 1.5198472825643181 relationship=Own-child -1.1049346051875821 0.8114524322111561 relationship=Husband -0.45646486830404354 0.31379421120955164 relationship=Not-in-family -1.0423192525631415 0.6462947290575795 relationship=Other-relative 0.14836308582541738 1.47272119519149 relationship=Unmarried -0.6454946213819854 -0.09489462884463354 race=White -0.4608848252824892 0.005610596880019252 race=Asian-Pac-Islander 0.21135593165912625 2.186748923765496 race=Amer-Indian-Eskimo -1.4208969064922226 2.4746963194716964 race=Other -0.2652758437190601 0.2809822005640081 race=Black 0.2982515175433669 -0.14975699410072327 sex 2.4306584740675032 -2.5930845282617705 capital-gain 1.6949556680841709 -1.8150890374725408 capital-loss 1.6051785118165849 -2.729395582956513 hours-per-week -0.4688092209690841 -0.8617178576741804 native-country=United-States 0.9223884327451637 -1.9799881478649901 native-country=Cambodia -0.13301800067816644 0.7368130635514136 native-country=England 0.3800469094305178 0.40688063148475 native-country=Puerto-Rico 0.9020367774121408 -0.46650136337008075 native-country=Canada 0.0830520411596916 -0.3199059402848727 native-country=Germany -0.5754656114480226 -0.1386247899724627 native-country=Outlying-US(Guam-USVI-etc) -0.7517513986964862 1.2669044514134136 native-country=India -1.3021258357149739 0.7527569496679231 native-country=Japan -0.6868781735905 0.8692965939532772 native-country=Greece -0.9494173123831562 -0.2847979106152229 native-country=South -0.14665848438879628 0.6716318353622718 native-country=China -0.651945109833242 0.8312303962829799 native-country=Cuba 1.2051346174764064 -1.5421488117838602 native-country=Iran 0.22825063300549026 0.4133239310967692 native-country=Honduras 0.5846834051814658 -0.4309609683942807 native-country=Philippines 1.3105969613347823 -0.15035716064665172 native-country=Italy -1.1217354505257855 0.4951981267997284 native-country=Poland 0.7813854030859589 -1.5050178310987004 native-country=Jamaica -0.4732040400250528 1.0538707463407835 native-country=Vietnam 0.3500693107772893 1.7115914915714763 native-country=Mexico 0.6436833469170667 0.040727781130866184 native-country=Portugal -0.43711474885881063 -1.4318546023638112 native-country=Ireland -0.5361298333585988 -0.5588483334192965 native-country=France 0.5200959448646802 0.47392336241467575 native-country=Dominican-Republic -1.153527915992654 -0.06940032113683002 native-country=Laos -0.596085160953255 -0.3202128653506437 native-country=Ecuador 0.26049970062146915 -0.5701129424530631 native-country=Taiwan -0.4925782072654755 0.2708641530281484 native-country=Haiti -0.23596820010013334 2.1601077552204555 native-country=Columbia -0.2515831533455448 1.0190074288072506 native-country=Hungary 0.25095932387862274 -0.8123064481638073 native-country=Guatemala -0.0012399257475007325 0.9464991596866684 native-country=Nicaragua -0.1769644471203911 0.3692855362249274 native-country=Scotland 0.009127018716376598 0.722758252990675 native-country=Thailand -0.5494042973415002 0.9652536616788088 native-country=Yugoslavia -0.38737999800829515 0.42615600501168166 native-country=El-Salvador -0.6667250703513441 -0.27151329526333956 native-country=Trinadad&Tobago -0.36716280034176435 0.5889604355942152 native-country=Peru 0.025977296855760487 0.8720028441534843 native-country=Hong 0.4302540108805334 0.38406667475219475 native-country=Holand-Netherlands Hidden Weights: 2.88555673153831 -2.8855567238778974 -3.3478806386238427 3.3478806381165507 >50K <=50K Error sum for iteration 800 = 747.0713064173808 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 0.9862859283829035 -1.4889961895014319 age -0.4771476434023168 -0.4404896207888206 workclass=Private 1.308138962755076 2.1449549331077367 workclass=Self-emp-not-inc -0.5761704161724935 -1.3316131330966898 workclass=Self-emp-inc 0.04945142402646358 -1.015418284413556 workclass=Federal-gov -0.5543052703641287 -0.03723993905513301 workclass=Local-gov 0.3616244896005543 0.3577737113216657 workclass=State-gov -0.004819933593964102 -0.729483974184166 workclass=Without-pay 0.8123168748272757 -0.533307058082167 workclass=Never-worked 0.32528492649392005 0.04142874507058038 fnlwgt -0.8834014227273579 -1.1986162591436336 education=Bachelors -0.616952007943558 0.040052117665399685 education=Some-college 0.06617888541709946 1.2791820520520365 education=11th -1.0026873972182737 -0.28639190123085634 education=HS-grad 1.332947255857566 0.33514900621757926 education=Prof-school -0.28267343846986115 -0.4822381392808979 education=Assoc-acdm 0.5039905619975689 0.5829245960366534 education=Assoc-voc -0.5010921133930826 1.2245752876362626 education=9th -0.4068677577141188 0.7116713157483786 education=7th-8th -0.4185761111763718 1.677054418439218 education=12th 0.29109404336057204 -0.09085443211662418 education=Masters 0.27131860548200626 1.6474844781005875 education=1st-4th -1.2064529325940403 0.5550559347113945 education=10th 0.5010010889233945 -1.1947704273437367 education=Doctorate 0.522284395526674 0.22311491033318548 education=5th-6th -0.7399220876344751 0.8320390857059593 education=Preschool 1.4215083179494132 -1.2549330019297114 education-num 0.9537041096147032 -1.8093911189211567 marital-status=Married-civ-spouse -0.21557452446537725 0.9426522831502105 marital-status=Divorced 0.47609154958275535 2.20131422740559 marital-status=Never-married -0.4581881113324421 0.2901087157609052 marital-status=Separated -0.5981501174500247 0.27514058781714434 marital-status=Widowed -1.3826569594592029 0.5961445677143505 marital-status=Married-spouse-absent -0.18074389386538606 0.7175436538366428 marital-status=Married-AF-spouse 0.17118946486307532 -0.44731216808466606 occupation=Tech-support 0.3450920209486284 0.4976610330009947 occupation=Craft-repair -0.43276109348149683 0.7860367714794432 occupation=Other-service 0.3613761745011044 0.3681897629587538 occupation=Sales 0.47640801779456654 -0.41924982570985436 occupation=Exec-managerial 0.9047524686381208 0.8684312477126834 occupation=Prof-specialty -0.5969851708038261 0.9022150259157625 occupation=Handlers-cleaners 0.21299188899261223 1.0085726959100685 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2.573793112278065 race=Other -0.19068613883972635 0.3047865810064156 race=Black 0.2495358562649722 -0.18748560194936476 sex 2.6463743054062143 -2.6937718712761 capital-gain 1.7430671694028474 -1.8501756279248165 capital-loss 1.6292445581591715 -2.8169970246461333 hours-per-week -0.5047065986061163 -0.9270117299091788 native-country=United-States 1.0696735853481751 -2.1295811173418904 native-country=Cambodia -0.19247239415106404 0.7079386691348275 native-country=England 0.4594786750025446 0.4038294839218645 native-country=Puerto-Rico 0.8839100707215773 -0.48780344453530716 native-country=Canada 0.0997933836732144 -0.3082062646079155 native-country=Germany -0.5856172824957127 -0.12715529284044674 native-country=Outlying-US(Guam-USVI-etc) -0.849223774425848 1.3419038578871358 native-country=India -1.3820259978158642 0.8427849870622762 native-country=Japan -0.6360874326195294 0.982171434448467 native-country=Greece -0.9705931252617439 -0.22707934059251855 native-country=South -0.22011351789371258 0.6777735676467536 native-country=China -0.6656728145050423 0.8685914793186412 native-country=Cuba 1.2533948825081092 -1.5806503188503143 native-country=Iran 0.20618434461734642 0.43358809394837017 native-country=Honduras 0.5740207024942355 -0.4167665660395504 native-country=Philippines 1.2843039365338427 -0.17457336192790457 native-country=Italy -1.1351148535882725 0.5309685852880606 native-country=Poland 0.8712105675205237 -1.5876433546670203 native-country=Jamaica -0.4550736027642669 1.0786342395421706 native-country=Vietnam 0.3506897356622033 1.757939212266254 native-country=Mexico 0.6875244706112484 -0.006635449783388126 native-country=Portugal -0.40964788742953245 -1.5379426534175142 native-country=Ireland -0.5173779116939171 -0.5697173417308896 native-country=France 0.5525664206499282 0.4607003617946438 native-country=Dominican-Republic -1.1704085084018592 -0.019319486791282727 native-country=Laos -0.6029024250372371 -0.30386869025405694 native-country=Ecuador 0.26216971987158544 -0.5725936769704822 native-country=Taiwan -0.5794358079894597 0.3414580977720694 native-country=Haiti -0.3798748478498601 2.257726747550374 native-country=Columbia -0.25472892123050395 1.026424253851014 native-country=Hungary 0.2968078256591213 -0.8596624568787788 native-country=Guatemala -0.05676059132657319 0.9903438998190223 native-country=Nicaragua -0.18673937928199769 0.37937262385475384 native-country=Scotland 0.01292784259717055 0.779342041029952 native-country=Thailand -0.5572050143457448 0.9895867047282345 native-country=Yugoslavia -0.3095250857947847 0.4977191964991613 native-country=El-Salvador -0.6922052843380307 -0.23893786493743305 native-country=Trinadad&Tobago -0.379937166933983 0.5537412696094188 native-country=Peru 0.022911930256126527 0.8793922108159954 native-country=Hong 0.42710824299557426 0.39148349979600977 native-country=Holand-Netherlands Hidden Weights: 2.9548594767136565 -2.95485947654502 -3.2904068732316727 3.2904068732150717 >50K <=50K Error sum for iteration 900 = 737.3782065868577 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 0.9801798235985503 -1.55838154451453 age -0.5269809831832055 -0.47167542232486176 workclass=Private 1.3514111139835066 2.2974536167941237 workclass=Self-emp-not-inc -0.6094421769322026 -1.3806636145965199 workclass=Self-emp-inc 0.06260873491138423 -1.029650571759352 workclass=Federal-gov -0.5789221714387467 -0.0315301506730191 workclass=Local-gov 0.3717325026440452 0.3917556622578435 workclass=State-gov -0.007682312640294532 -0.7225814868989952 workclass=Without-pay 0.809380414460313 -0.5263321020883037 workclass=Never-worked 0.4023341714671298 0.08782474600511746 fnlwgt -0.8757290712916107 -1.2342418077550252 education=Bachelors -0.6730395360419745 0.0015752778483173648 education=Some-college 0.12116881867743698 1.3612818008543779 education=11th 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1.6590603287872823 -2.897694324109785 hours-per-week -0.5377353786830554 -0.9901938351990941 native-country=United-States 1.2180649335111784 -2.2597180313269507 native-country=Cambodia -0.24583421038834585 0.6754030592053581 native-country=England 0.5291984014633625 0.4068019009758938 native-country=Puerto-Rico 0.8625199944801544 -0.5109097969677429 native-country=Canada 0.11228600722564744 -0.30271698045934936 native-country=Germany -0.5954913012869616 -0.11646712810998845 native-country=Outlying-US(Guam-USVI-etc) -0.9382334884361871 1.4014946128735275 native-country=India -1.4577067856176407 0.9238841602252494 native-country=Japan -0.572558834891296 1.0900955727214503 native-country=Greece -0.9961114539536193 -0.17426430662383977 native-country=South -0.28383922450460136 0.6781941160606534 native-country=China -0.6802933064373757 0.897066373695691 native-country=Cuba 1.2984637291414658 -1.6096481101400133 native-country=Iran 0.18485622750227865 0.4515917499957592 native-country=Honduras 0.578658698242589 -0.40611314726930625 native-country=Philippines 1.2542804360400286 -0.20194541581350905 native-country=Italy -1.1420475770083336 0.5604094467720303 native-country=Poland 0.943256750919341 -1.6429495082900754 native-country=Jamaica -0.4370074818236388 1.1018514493618543 native-country=Vietnam 0.3424034507628552 1.8049265013313098 native-country=Mexico 0.7225651984683941 -0.042684997881934285 native-country=Portugal -0.38248937425138124 -1.6374701408785384 native-country=Ireland -0.4972030368855293 -0.5801721630171413 native-country=France 0.569679585843596 0.4544646861068097 native-country=Dominican-Republic -1.185774682062501 0.02648662155652933 native-country=Laos -0.6092229291270364 -0.2891621497451276 native-country=Ecuador 0.2686536295874627 -0.5702853842892837 native-country=Taiwan -0.6611398624254302 0.4024189033527204 native-country=Haiti -0.5155981967776737 2.3393635449992285 native-country=Columbia -0.25766538159749725 1.0333992098448952 native-country=Hungary 0.3417232446309594 -0.9032378275219912 native-country=Guatemala -0.10957553883204461 1.0293377324705666 native-country=Nicaragua -0.19530734291912255 0.38868751997950646 native-country=Scotland 0.016681007322700704 0.8358191271795586 native-country=Thailand -0.5646820792535563 1.0124842550961746 native-country=Yugoslavia -0.2290911415335118 0.5680474334954776 native-country=El-Salvador -0.718759019776044 -0.2106125278760125 native-country=Trinadad&Tobago -0.3967899917751774 0.5215561209716997 native-country=Peru 0.020034095436797253 0.8863478465574978 native-country=Hong 0.42417178262858096 0.3984584557898778 native-country=Holand-Netherlands Hidden Weights: 2.9952672355439742 -2.995267235540541 -3.231806261620584 3.2318062616202123 >50K <=50K Options: -I 1000 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 1000 -E 0.01 -S 1629622545 -H 2 -M 0.01 Input Weights: 0.9794000194819139 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0.5925231062659713 0.4141484036668986 native-country=Puerto-Rico 0.8429026080582778 -0.5354131791377807 native-country=Canada 0.1235362401015357 -0.30171030784660335 native-country=Germany -0.6047887775069828 -0.1063603169583491 native-country=Outlying-US(Guam-USVI-etc) -1.0192481739445314 1.4500645302555004 native-country=India -1.5283668356389812 0.9975146865196685 native-country=Japan -0.5002764944552366 1.1926588493653159 native-country=Greece -1.0239089089841318 -0.12682972620533456 native-country=South -0.3401645986431911 0.6751749440856424 native-country=China -0.6964992374502134 0.9195586448679159 native-country=Cuba 1.3415305763902796 -1.6323811036073232 native-country=Iran 0.16472584825103836 0.46785678769685424 native-country=Honduras 0.5928736318337369 -0.39667992882019026 native-country=Philippines 1.2206236444043717 -0.23193607499247187 native-country=Italy -1.145144823385809 0.5847728803539708 native-country=Poland 0.9967481106807001 -1.6776869110294381 native-country=Jamaica -0.4208468550453709 1.1233235663774674 native-country=Vietnam 0.32944229330284347 1.8510694058899397 native-country=Mexico 0.7488787581303837 -0.06872521410925524 native-country=Portugal -0.355190329402931 -1.7299783539139157 native-country=Ireland -0.4762532766823056 -0.5898134301391822 native-country=France 0.5775868547174765 0.45300274490558357 native-country=Dominican-Republic -1.199822947780323 0.06807026734274298 native-country=Laos -0.6151785619472392 -0.2757831475257572 native-country=Ecuador 0.2773255860225538 -0.5640002383367367 native-country=Taiwan -0.7368138405109577 0.4554028601996622 native-country=Haiti -0.6433133380300016 2.4086952087479503 native-country=Columbia -0.26044087949981926 1.0400854723026207 native-country=Hungary 0.3854443223529261 -0.9431236146916439 native-country=Guatemala -0.15989934952283066 1.0642243001774978 native-country=Nicaragua -0.20293626201113468 0.3974335216055333 native-country=Scotland 0.0199359184924411 0.890859553070048 native-country=Thailand -0.5718374819578149 1.0339709471508924 native-country=Yugoslavia -0.14897667711215168 0.6374578077445363 native-country=El-Salvador -0.7461482383693872 -0.18559888113483577 native-country=Trinadad&Tobago -0.4163627430507984 0.4924357646814175 native-country=Peru 0.01729941956744059 0.8930209185216932 native-country=Hong 0.42139628472625895 0.4051447182476207 native-country=Holand-Netherlands Hidden Weights: 3.025328554149777 -3.0253285541497084 -3.178179760997566 3.178179760997554 >50K <=50K === Error on training data === Correctly Classified Instances 4230 84.347 % Incorrectly Classified Instances 785 15.653 % Mean absolute error 0.2674 Root mean squared error 0.3336 Relative absolute error 72.4242 % Root relative squared error 77.6484 % Total Number of Instances 5015 === Confusion Matrix === a b <-- classified as 722 503 | a = >50K 282 3508 | b = <=50K === Error on test data === Correctly Classified Instances 4175 83.2502 % Incorrectly Classified Instances 840 16.7498 % Mean absolute error 0.2719 Root mean squared error 0.3418 Relative absolute error 74.6025 % Root relative squared error 80.6101 % Total Number of Instances 5015 === Confusion Matrix === a b <-- classified as 670 508 | a = >50K 332 3505 | b = <=50K