Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.13387304349050222 -0.32774006216245644 age -0.9402874603892206 0.8578799043449603 workclass=Private 0.4786090803945302 0.6632234910310071 workclass=Self-emp-not-inc -0.14383250830574634 -0.6062991461227611 workclass=Self-emp-inc 0.08735687817797388 0.2572343656877836 workclass=Federal-gov -0.30482941415925646 0.4630015385866766 workclass=Local-gov 0.676009520228908 0.7277052939506718 workclass=State-gov 0.5557115345498003 0.9262980579965574 workclass=Without-pay -0.6987714395769089 0.636263406585674 workclass=Never-worked 0.47259190269864293 -0.09949274227764882 fnlwgt -0.7029977754381149 0.4989130845931342 education=Bachelors 0.5688160354991301 -0.08789418876850785 education=Some-college 0.2345067254564368 0.9920396995378795 education=11th 0.8975783197899183 -0.4370382346586479 education=HS-grad -0.9692303176247954 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0.22842387940617015 0.4140695105192589 occupation=Protective-serv 0.3968412721092691 0.8725209857835439 occupation=Armed-Forces -0.6549696779593415 -0.9310816265782449 relationship=Wife -0.23648142830414698 -0.0320558167129672 relationship=Own-child 0.8964587276799898 0.2317040148847569 relationship=Husband -0.39690427447226573 -0.9163560578643619 relationship=Not-in-family 0.7150818587325887 -0.5795607217277192 relationship=Other-relative -0.6059873034161702 -0.16966858307315946 relationship=Unmarried 0.5146890235879213 -0.06336158962610439 race=White -3.1852081420913336E-4 -0.3892446908433176 race=Asian-Pac-Islander 0.3192092681805636 -0.7864566912349673 race=Amer-Indian-Eskimo -0.14619438775721827 0.8909287654403899 race=Other -0.45951412206255493 -0.6769680499638713 race=Black 0.03306733174137033 0.2429711365909366 sex 0.4544031344256161 0.529528070418763 capital-gain -0.1031235492264535 0.5458134106947301 capital-loss 0.8438704074005416 0.9557246513596593 hours-per-week 0.23007885793584615 -0.4897949247319897 native-country=United-States -0.9506259817799307 -0.14577013304442588 native-country=Cambodia 0.6597039632922237 0.45499876052859034 native-country=England -0.162842471119085 0.2961174016799961 native-country=Puerto-Rico -0.17799229108715542 -0.44079075475855256 native-country=Canada 0.32447437279294267 -0.6046774519823104 native-country=Germany -0.40899344223156353 0.9242478444865598 native-country=Outlying-US(Guam-USVI-etc) 0.8724162934383293 -0.44085907924226153 native-country=India 0.3729112336570317 -0.8028489910060193 native-country=Japan 0.26994382690455243 -0.7692279473774537 native-country=Greece -0.2803736395056058 -0.5585474616668806 native-country=South 0.8070765812102758 0.6796700357496794 native-country=China -0.5152045720542102 -0.17077318950633136 native-country=Cuba -0.19137277928903584 0.5779366434577777 native-country=Iran -0.42749161797330193 -0.28384951738432496 native-country=Honduras 0.9290267800454586 0.3233811933031687 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0.658289057254861 native-country=Guatemala -0.946399753024272 -0.9315811727144927 native-country=Nicaragua -0.11250901674835223 -0.3033677532335879 native-country=Scotland -0.6977076571222172 0.4892487164107975 native-country=Thailand -0.37900344420086585 -0.05562919225371621 native-country=Yugoslavia -0.21774920629497507 0.2913425554899738 native-country=El-Salvador -0.9610640676831863 -0.2899984462522667 native-country=Trinadad&Tobago 0.9927616914993662 -0.7718076865157826 native-country=Peru -0.8794569071299831 0.5897377926022087 native-country=Hong 0.524396374289311 -0.6109062250738073 native-country=Holand-Netherlands Hidden Weights: 0.13034210335338514 -0.810617327194026 -0.8732281026377231 0.18036773906706305 >50K <=50K Error sum for iteration 100 = 68.87045613167103 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.3578173386045288 -0.28694085554842175 age 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education=9th -0.7395063898125948 -0.7621069677273751 education=7th-8th -0.16029270046689562 -0.8723294985258385 education=12th 0.5963992409408602 0.5370133823586442 education=Masters 0.39584784566395953 -0.6891522333086989 education=1st-4th -0.8194432137281901 0.7614035015721555 education=10th -0.06606944838818268 0.9990640456096336 education=Doctorate -0.7960913199625659 0.03541833778098757 education=5th-6th -0.8638266622773649 -0.6601165038009029 education=Preschool 0.6772372303152758 0.9146244145888024 education-num 0.8806291524961879 -0.07606215247020891 marital-status=Married-civ-spouse -0.6564098792353341 -0.329069451416161 marital-status=Divorced -0.7493389190200278 0.08005802308307715 marital-status=Never-married -0.7109058607359957 0.7470329145698568 marital-status=Separated -0.37981843350811634 1.0758616937299248 marital-status=Widowed -0.19813731152085512 -0.7952355091673217 marital-status=Married-spouse-absent 0.469096419776093 -0.681141033750518 marital-status=Married-AF-spouse 0.9386936422011847 -0.3404383973594441 occupation=Tech-support -0.3215994400063255 -0.7136742832263628 occupation=Craft-repair 0.3782456412869179 0.1324115653227712 occupation=Other-service -0.6037282934364032 -0.34433444693842136 occupation=Sales 0.7853853205243561 -0.06244171280079695 occupation=Exec-managerial -0.33178476376688576 -0.5117094956377651 occupation=Prof-specialty -1.0431633535272997 -0.7704054417625342 occupation=Handlers-cleaners -0.5512988541842762 -0.07966553055155998 occupation=Machine-op-inspct -0.5355832693641693 -0.5439135863357628 occupation=Adm-clerical 0.2771971672761337 -0.7561600249754109 occupation=Farming-fishing -0.647867741760687 -0.7728117796516265 occupation=Transport-moving 0.9417661571091934 0.2800537859170035 occupation=Priv-house-serv 0.24775253706151315 0.45302743755925245 occupation=Protective-serv 0.39063010704977214 0.9255089994777963 occupation=Armed-Forces -0.3119079541751944 -1.0088982802397388 relationship=Wife -0.5856466924068197 0.25153591984973617 relationship=Own-child 1.646642432284661 0.002869638474550587 relationship=Husband -0.7880318654804087 -0.4956558357820886 relationship=Not-in-family 0.6373506400794869 -0.4836323212039987 relationship=Other-relative -0.7366143704563779 0.029505334910255903 relationship=Unmarried 0.5378091242220543 0.2666023080036755 race=White 0.2103434915109119 -0.3983775744512126 race=Asian-Pac-Islander 0.29429567626388137 -0.7141555875168146 race=Amer-Indian-Eskimo -0.15891939706400698 0.9511356745554561 race=Other -0.5213915096125714 -0.4870454902442871 race=Black 0.189970195928812 0.42272217474840645 sex 0.4742595998639157 0.573957168471603 capital-gain -0.015140930926669691 0.5658274930110562 capital-loss 1.0821558996304517 1.0488680452811554 hours-per-week 0.30242408286250216 -0.04644386420062641 native-country=United-States -0.9065381978601148 -0.11332249871706818 native-country=Cambodia 0.6562503990275889 0.5102900783307309 native-country=England -0.17467244126653825 0.35081172883782424 native-country=Puerto-Rico -0.1542539317524689 -0.3995959877277743 native-country=Canada 0.3313393935446106 -0.5482888280624284 native-country=Germany -0.3986652788326587 0.9737295049923121 native-country=Outlying-US(Guam-USVI-etc) 0.9100251586352021 -0.40534126129744497 native-country=India 0.38323939705593657 -0.7533673305002669 native-country=Japan 0.2802719903034573 -0.7197462868717014 native-country=Greece -0.2274024450698812 -0.5257844965988162 native-country=South 0.8174047446091878 0.7291516962554317 native-country=China -0.5237648229169268 -0.11496609582083787 native-country=Cuba -0.12115096470340174 0.6190375554042116 native-country=Iran -0.4038978065797361 -0.2520844898734136 native-country=Honduras 0.9210975579955863 0.37932972958871025 native-country=Philippines -0.37771078392505414 0.1729818515387116 native-country=Italy 0.7458164019782558 0.804358915602948 native-country=Poland -0.7539968885969761 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0.5085006294178941 -0.46045701500686326 relationship=Other-relative -0.881047164213495 0.07285098686436636 relationship=Unmarried 0.3105566780574632 0.26575298678844456 race=White 0.4675360153599154 -0.432308721320312 race=Asian-Pac-Islander 0.22076349004642926 -0.6971716605828475 race=Amer-Indian-Eskimo -0.23965880737860548 0.9619283717651189 race=Other -0.5366990641132061 -0.4546304015683545 race=Black -0.4446663613435425 0.4877943290824013 sex 0.48665535887884526 0.5699439930702914 capital-gain 0.20120614793780425 0.5266658437427271 capital-loss 1.271822730408884 0.9996823881374314 hours-per-week 0.22914149344947016 0.009730953499984495 native-country=United-States -0.8264007341396968 -0.1298492203629918 native-country=Cambodia 0.6146288336167711 0.5146889737892953 native-country=England -0.24328161226426395 0.35524055932647436 native-country=Puerto-Rico -0.11047517245718219 -0.4050394966942793 native-country=Canada 0.31468931488341256 -0.5443687042538972 native-country=Germany -0.4094067460132904 0.9756842161257847 native-country=Outlying-US(Guam-USVI-etc) 0.9136416455348282 -0.41375526694139014 native-country=India 0.37249792987530483 -0.7514126193667944 native-country=Japan 0.26953052312282555 -0.7177915757382288 native-country=Greece -0.13733959195639184 -0.5406158140019919 native-country=South 0.8066632774285541 0.7311064073889043 native-country=China -0.6185597780543756 -0.10467699935393786 native-country=Cuba -0.07153159865015432 0.6137467066586403 native-country=Iran -0.3196245872089102 -0.272677144929383 native-country=Honduras 0.8499175736389276 0.3870007825415535 native-country=Philippines -0.3889560494311868 0.1752105553655607 native-country=Italy 0.6675211402268741 0.8095459852316846 native-country=Poland -0.7651440629238372 -0.2991659460137552 native-country=Jamaica -0.8393492908332355 -0.577372199749013 native-country=Vietnam -0.10138516552434987 0.8289737829304942 native-country=Mexico -0.6368556539028913 -0.36542558351757953 native-country=Portugal 0.17535175871778572 0.17137101761116566 native-country=Ireland -0.3776738137000848 0.7922137645257098 native-country=France -0.942841247944443 0.6774622230616693 native-country=Dominican-Republic -0.013628338849536476 -0.7611433113651362 native-country=Laos 0.4184888728048721 -0.33435949800258724 native-country=Ecuador 0.34781597183079027 0.80072637492172 native-country=Taiwan -0.9794655103720945 0.3173663452494495 native-country=Haiti -0.5382278467706771 0.3080003009559843 native-country=Columbia -0.8191529652549422 -0.31889132053621944 native-country=Hungary -0.6551076746252366 0.7097254288940859 native-country=Guatemala -0.9468130568059937 -0.8801448010752678 native-country=Nicaragua -0.11292232053008598 -0.2519313815943632 native-country=Scotland -0.6515249789243298 0.5152346506566471 native-country=Thailand -0.37941674798259273 -0.004192820614492346 native-country=Yugoslavia -0.2209150536955588 0.3452545155786276 native-country=El-Salvador -0.961477371464908 -0.2385620746130385 native-country=Trinadad&Tobago 0.9923483877176252 -0.7203713148765577 native-country=Peru -0.8798702109117048 0.6411741642414336 native-country=Hong 0.5239830705075893 -0.5594698534345824 native-country=Holand-Netherlands Hidden Weights: 2.7016608419101527 -2.727911730016747 -0.81561355440203 0.37385659422564715 >50K <=50K Error sum for iteration 300 = 66.89149203868824 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.4940668880484159 -0.3113814514468366 age -0.6441068438430547 1.2900898527160405 workclass=Private -0.6051213066521459 0.9543934682476154 workclass=Self-emp-not-inc 0.3413782857510467 -0.7722500336810388 workclass=Self-emp-inc 0.840787461860811 0.13775850211546162 workclass=Federal-gov -0.5196277403028978 0.6620735811498109 workclass=Local-gov 0.26751524782732955 0.7749256884075496 workclass=State-gov 0.5434114637422272 0.9751727445306243 workclass=Without-pay -0.711071510384482 0.6851380931197409 workclass=Never-worked 0.5295159877608369 -0.021021370490929704 fnlwgt 0.14761964593019744 0.34423392148155346 education=Bachelors -0.18949522928668458 0.12937286447069632 education=Some-college -0.48640856070296073 1.1434812775801488 education=11th -0.6935724558136263 0.1258104434597153 education=HS-grad -0.14589195838970223 -1.04186794893799 education=Prof-school 0.25395074068664863 0.8484626829476983 education=Assoc-acdm 0.08020179582867214 0.3966900004805548 education=Assoc-voc -0.8979088237514605 0.4836936869931735 education=9th -0.5507496237316156 -0.7770216444738892 education=7th-8th -0.15065594982828198 -0.9114185599299331 education=12th 0.3925542332366991 0.6362353118985798 education=Masters 0.16124562689880273 -0.6424719335094243 education=1st-4th -0.9863243072018442 0.7871009706112037 education=10th 0.4967442134818971 0.9247481033460975 education=Doctorate -0.8668753062076553 0.045058490516623695 education=5th-6th -0.8877241033591272 -0.6571563335060155 education=Preschool 1.5713342259492262 0.7439898265651381 education-num 1.2084381306935874 -0.22619050426372175 marital-status=Married-civ-spouse -0.6053537319785797 -0.33257199619747585 marital-status=Divorced -1.0425488144508792 0.155438387039876 marital-status=Never-married -0.7735509128607854 0.7554257156692288 marital-status=Separated -0.5685395836980581 1.0875038009569853 marital-status=Widowed -0.3225735849777314 -0.7556002208113642 marital-status=Married-spouse-absent 0.41982015242709475 -0.6716653073898323 marital-status=Married-AF-spouse 0.7797356434936891 -0.3036499680104224 occupation=Tech-support -0.43264334629484563 -0.7413858431388618 occupation=Craft-repair -0.056631273885471504 0.20531427190948662 occupation=Other-service -0.6267539788360943 -0.3115151569258886 occupation=Sales 1.4318619114591205 -0.1932588372682184 occupation=Exec-managerial 0.4825084093293475 -0.7322464580427889 occupation=Prof-specialty -1.3791808927543863 -0.7143881096648806 occupation=Handlers-cleaners -0.2831590112815442 -0.14299838410509147 occupation=Machine-op-inspct -0.5611222333614586 -0.48588615837691074 occupation=Adm-clerical -0.07104170917605887 -0.6960526656694689 occupation=Farming-fishing -1.498900627639589 -0.6384833401666059 occupation=Transport-moving 0.9191379229027083 0.27944681194534327 occupation=Priv-house-serv 0.36552232457382566 0.4313677147220542 occupation=Protective-serv 0.3574905653910971 0.9258297844527589 occupation=Armed-Forces 0.5513568434393475 -1.1454443412471704 relationship=Wife -0.9255832871728481 0.3164306118863269 relationship=Own-child 1.1361790732690384 -0.024032376045404917 relationship=Husband -0.5355265638534206 -0.5367781666830828 relationship=Not-in-family 0.3481057021076793 -0.434108171841782 relationship=Other-relative -1.0295348568352394 0.1111592643365785 relationship=Unmarried 0.18015929638741468 0.20147159341943252 race=White 0.5965258226415581 -0.4425225595547858 race=Asian-Pac-Islander 0.15599250969948014 -0.6850254596929196 race=Amer-Indian-Eskimo -0.3614143589410926 0.9782221232434587 race=Other -0.503292929151388 -0.4418770287000071 race=Black -0.5955839963075625 0.4276703040218707 sex 0.504304669854433 0.5597524279034403 capital-gain 0.4988094117321148 0.46703766140713426 capital-loss 1.4388659668276929 0.9314850726372427 hours-per-week 0.24113672300135702 0.016210757627222714 native-country=United-States -0.6911346774249484 -0.16261007618646703 native-country=Cambodia 0.5441388914819061 0.5169260438465892 native-country=England -0.32915745018030607 0.3561558843640126 native-country=Puerto-Rico 0.015693064171594974 -0.42172375096765163 native-country=Canada 0.2938701638384035 -0.5440277210130073 native-country=Germany -0.4212935130391395 0.9731225310206267 native-country=Outlying-US(Guam-USVI-etc) 0.9106471469589138 -0.4255196188255374 native-country=India 0.36061116284945577 -0.7539743044719524 native-country=Japan 0.2576437560969765 -0.7203532608433868 native-country=Greece -0.021626029654343463 -0.5681449081979844 native-country=South 0.7947765104027027 0.7285447222837463 native-country=China -0.806306891842171 -0.08220452927001776 native-country=Cuba -0.03738978927717575 0.602110584749439 native-country=Iran -0.2574946459547402 -0.295561782666258 native-country=Honduras 0.7332680908843247 0.39808897962505974 native-country=Philippines -0.4008967023947675 0.1727264658624354 native-country=Italy 0.5566372388723697 0.8118056874352126 native-country=Poland -0.7773073243473156 -0.30029209703599385 native-country=Jamaica -0.851236057859087 -0.579933884854171 native-country=Vietnam -0.07360251891829842 0.8226470556162602 native-country=Mexico -0.7238750828279062 -0.3601005238258732 native-country=Portugal 0.1634649916919392 0.16880933250601898 native-country=Ireland -0.39093701231324 0.7899056832914989 native-country=France -0.9547571453166509 0.674963812250821 native-country=Dominican-Republic -0.11825839591873197 -0.7432057679679422 native-country=Laos 0.3683576887127944 -0.32707069626734103 native-country=Ecuador 0.3508233181335739 0.7950481307100974 native-country=Taiwan -0.9913642053259071 0.3149068672309277 native-country=Haiti -0.5506573669866988 0.30564342936654904 native-country=Columbia -0.8310397322807936 -0.3214530056413578 native-country=Hungary -0.666994441651088 0.7071637437889279 native-country=Guatemala -0.9586998238318452 -0.8827064861804258 native-country=Nicaragua -0.12480908755593348 -0.25449306669950156 native-country=Scotland -0.6490843798060638 0.5028002685198936 native-country=Thailand -0.3913035150084418 -0.006754505719635075 native-country=Yugoslavia -0.23285873722886705 0.34274401700964946 native-country=El-Salvador -0.9733641384907594 -0.24112375971818517 native-country=Trinadad&Tobago 0.9804616206917738 -0.7229329999817157 native-country=Peru -0.8917569779375563 0.6386124791362756 native-country=Hong 0.5120963034817378 -0.5620315385397404 native-country=Holand-Netherlands Hidden Weights: 3.2135676237124837 -3.2296839430362927 -0.9456822110626918 0.5613079672023638 >50K <=50K Error sum for iteration 400 = 67.88322164485592 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.5743986664327908 -0.33816038921862884 age -0.5597328418285882 1.2370910601206362 workclass=Private -0.919735167475163 1.009135699681947 workclass=Self-emp-not-inc 0.37784388650005923 -0.7866445698258684 workclass=Self-emp-inc 1.030700107003977 0.08927203281191105 workclass=Federal-gov -0.38571322252500206 0.6761208943586047 workclass=Local-gov -0.048483714039630074 0.7936199469644046 workclass=State-gov 0.5301296025275626 0.9731444591846413 workclass=Without-pay -0.7243533715991466 0.683109807773758 workclass=Never-worked 0.5350182332269359 -0.023367736810078574 fnlwgt -0.01589659230271051 0.3594764877016365 education=Bachelors 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-0.5687216547293281 0.3377945873797464 sex 0.5165373113516594 0.550290455375368 capital-gain 0.813468908352808 0.39845622787373397 capital-loss 1.5086626171358217 0.8717545718080298 hours-per-week 0.25883374027803 0.02884768947523573 native-country=United-States -0.5603657891880968 -0.202825992548548 native-country=Cambodia 0.4766907078223665 0.5211105408613754 native-country=England -0.42437356772488405 0.3594029441483529 native-country=Puerto-Rico 0.17254125640254298 -0.44595310341671607 native-country=Canada 0.27356936407618687 -0.542859510671045 native-country=Germany -0.4345753742538177 0.9710942456746438 native-country=Outlying-US(Guam-USVI-etc) 0.9089306000481634 -0.4361731679058709 native-country=India 0.34732930163477754 -0.7560025898179353 native-country=Japan 0.24436189488230148 -0.7223815461893698 native-country=Greece 0.09565467335419194 -0.6005720402863305 native-country=South 0.7814946491880381 0.7265164369377634 native-country=China -0.9904275162744792 -0.05511188577842603 native-country=Cuba -0.0011818244504950715 0.5889188787482225 native-country=Iran -0.23481819979977073 -0.3096266981974281 native-country=Honduras 0.5974469814557416 0.4130136664025076 native-country=Philippines -0.4141770278616245 0.1706880977063287 native-country=Italy 0.4260903814507291 0.8169544920956099 native-country=Poland -0.790801440276662 -0.30100604470103753 native-country=Jamaica -0.8645179190737515 -0.581962170200154 native-country=Vietnam -0.019539439986988302 0.8093654895922407 native-country=Mexico -0.8084668094304399 -0.35241592006538097 native-country=Portugal 0.1501831304772685 0.16678104716003306 native-country=Ireland -0.4046227150752308 0.788011956078334 native-country=France -0.9680350998888358 0.672915782723694 native-country=Dominican-Republic -0.2326868908886894 -0.722689304427992 native-country=Laos 0.30767331663401737 -0.3157278878479851 native-country=Ecuador 0.35325457729940596 0.7893606444821881 native-country=Taiwan -1.0046450097461042 0.31285939071956265 native-country=Haiti -0.5645173534420842 0.3038482217286268 native-country=Columbia -0.8443215934954582 -0.3234812909873396 native-country=Hungary -0.6802763028657526 0.7051354584429449 native-country=Guatemala -0.9719816850465097 -0.8847347715264088 native-country=Nicaragua -0.1380909487706034 -0.2565213520454833 native-country=Scotland -0.6496132204928364 0.4922310930792981 native-country=Thailand -0.40458537622312 -0.008782791065620627 native-country=Yugoslavia -0.24613300525584358 0.3406931615233374 native-country=El-Salvador -0.986645999705424 -0.2431520450641711 native-country=Trinadad&Tobago 0.9671797594771092 -0.7249612853276987 native-country=Peru -0.9050388391522208 0.6365841937902926 native-country=Hong 0.4988144422670711 -0.5640598238857234 native-country=Holand-Netherlands Hidden Weights: 3.538845950586197 -3.554750372245527 -1.0089897112737527 0.6897401956883479 >50K <=50K Error sum for iteration 500 = 69.5357529085669 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.6700293445973399 -0.3635867319838432 age -0.49766723659440787 1.1895014875810241 workclass=Private -1.1193096772790927 1.026161188983859 workclass=Self-emp-not-inc 0.3663782039933761 -0.77791765685489 workclass=Self-emp-inc 1.1399986312689603 0.06219372781380817 workclass=Federal-gov -0.28495387968955255 0.6949903810903159 workclass=Local-gov -0.26827817339541044 0.8054328578077014 workclass=State-gov 0.5187930897181516 0.9718420964925226 workclass=Without-pay -0.7356898844085575 0.6818074450816393 workclass=Never-worked 0.5335576727031319 -0.02668423421312315 fnlwgt -0.09646357975787792 0.36282354909990494 education=Bachelors -0.30687563999160444 0.09228455605532022 education=Some-college -0.8505516762390545 1.1853762065858215 education=11th -0.6417309706771661 0.0889666180209705 education=HS-grad 0.29031739715115784 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0.6574842712111301 0.37509910913545585 occupation=Protective-serv 0.33093974588560565 0.9230043410222202 occupation=Armed-Forces 0.5051587680254777 -1.0905925196056396 relationship=Wife -1.0951239219025484 0.3511079454995321 relationship=Own-child 1.034934712222624 -0.09617824054915512 relationship=Husband -0.17875495838899824 -0.6995917701872304 relationship=Not-in-family 0.16863141772803578 -0.38867960207430213 relationship=Other-relative -1.2345063430672256 0.1645319347886401 relationship=Unmarried 0.2056290014458916 0.08015913525003121 race=White 0.5082161376680797 -0.4493646845993132 race=Asian-Pac-Islander 0.01011451357627797 -0.6480989526962081 race=Amer-Indian-Eskimo -0.6537743362336154 1.0237803734125674 race=Other -0.3222538381337229 -0.43950562714739777 race=Black -0.49321550090145994 0.26099348476699313 sex 0.5293410640657881 0.5421131020619386 capital-gain 1.1472963544369397 0.32332969614964524 capital-loss 1.4845368109865535 0.8244265235537624 hours-per-week 0.21956513391791246 0.0597907056396226 native-country=United-States -0.45248634330768794 -0.24617210221578684 native-country=Cambodia 0.4267495451869536 0.5262890838387103 native-country=England -0.5272022001329288 0.36585244274525974 native-country=Puerto-Rico 0.3447621732208343 -0.47704643710142075 native-country=Canada 0.2566796989484635 -0.5407093647680731 native-country=Germany -0.44591188706323154 0.969791882982525 native-country=Outlying-US(Guam-USVI-etc) 0.9172877924276693 -0.4466569659323349 native-country=India 0.3359927888253637 -0.757304952510054 native-country=Japan 0.23302538207289478 -0.7236839088814885 native-country=Greece 0.21383670968460497 -0.6336869421206791 native-country=South 0.7701581363786272 0.7252140742456447 native-country=China -1.1344114367864822 -0.030640459306358385 native-country=Cuba 0.04532333056625569 0.574891487424639 native-country=Iran -0.22397992135391434 -0.3178418776246957 native-country=Honduras 0.4753998659620535 0.42792446404317186 native-country=Philippines -0.42549955806744305 0.16932642191477804 native-country=Italy 0.28616984705183585 0.8254237400410277 native-country=Poland -0.8023646047813728 -0.3008589947070388 native-country=Jamaica -0.8758544318831625 -0.5832645328922726 native-country=Vietnam 0.05893744425521187 0.7898977576000201 native-country=Mexico -0.8849868734336837 -0.34231863457996037 native-country=Portugal 0.1388466176678618 0.16547868446790093 native-country=Ireland -0.41614481103048745 0.7868010802248788 native-country=France -0.9793594412728004 0.671549707947495 native-country=Dominican-Republic -0.3317203220404097 -0.7035600843566125 native-country=Laos 0.23726186194366214 -0.3005015909692708 native-country=Ecuador 0.3646670763319983 0.7837189289252474 native-country=Taiwan -1.015976692820894 0.3114740882033984 native-country=Haiti -0.5766069060872072 0.30288933816566327 native-country=Columbia -0.8556581063048692 -0.32478365367946743 native-country=Hungary -0.6916128156751635 0.7038330957508262 native-country=Guatemala -0.9833181978559207 -0.8860371342185275 native-country=Nicaragua -0.1494274615800101 -0.2578237147376112 native-country=Scotland -0.6476132893301698 0.4838292543406982 native-country=Thailand -0.41592188903253385 -0.010085153757751125 native-country=Yugoslavia -0.2574488255336899 0.3393151146134757 native-country=El-Salvador -0.9979825125148349 -0.24445440775630323 native-country=Trinadad&Tobago 0.9558432466676983 -0.7262636480198174 native-country=Peru -0.9163753519616318 0.6352818310981739 native-country=Hong 0.48747792945765794 -0.5653621865778421 native-country=Holand-Netherlands Hidden Weights: 3.8527089790418803 -3.8653651468155554 -1.0605650000928735 0.8043288784177007 >50K <=50K Error sum for iteration 600 = 70.65769798363903 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.7707807706534631 -0.3800100301700223 age -0.46520883700452625 1.159267381452127 workclass=Private -1.207994805644906 1.0087896328875576 workclass=Self-emp-not-inc 0.35093723717493386 -0.758432224209696 workclass=Self-emp-inc 1.1874016517105759 0.05952114068787751 workclass=Federal-gov -0.24254200323116712 0.7263053576674774 workclass=Local-gov -0.4000559065877248 0.8079789902473712 workclass=State-gov 0.5106766231548164 0.9720612602290083 workclass=Without-pay -0.7438063509718927 0.6820266088181249 workclass=Never-worked 0.5204008210268586 -0.028387688743421832 fnlwgt -0.1269082284937926 0.3615628877269839 education=Bachelors -0.3019895973237607 0.09209547966396348 education=Some-college -1.0033101039249754 1.2102859752402968 education=11th -0.6321538173086764 0.07334582034286165 education=HS-grad 0.4921118446041684 -1.2854311431664809 education=Prof-school -0.02353975854218078 0.9232755412431431 education=Assoc-acdm 0.431049907165653 0.29463720136343347 education=Assoc-voc -1.1866316581617589 0.553824679415448 education=9th 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0.2816627005013819 -0.17922310812600284 occupation=Tech-support -0.27439638336896177 -0.8881886161092237 occupation=Craft-repair 0.05538677346704371 0.19950811845523642 occupation=Other-service -0.3359731017564698 -0.2708525143575505 occupation=Sales 1.218045688892019 -0.24252012176434296 occupation=Exec-managerial 0.0999675903292196 -0.8848245966187033 occupation=Prof-specialty -1.5592544714879157 -0.6589438674544862 occupation=Handlers-cleaners 0.04578702788861743 -0.24453889278843663 occupation=Machine-op-inspct -0.4063702579700713 -0.3616269248195798 occupation=Adm-clerical -0.5107099461729651 -0.6699742795456333 occupation=Farming-fishing -1.8963871724546915 -0.5305491042102383 occupation=Transport-moving 0.8864030823152976 0.2763353276437234 occupation=Priv-house-serv 0.7802342129919426 0.3455975142620955 occupation=Protective-serv 0.32226146782261283 0.92344207245796 occupation=Armed-Forces 0.4694572331310397 -1.0717341739415738 relationship=Wife -1.1619839875147142 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0.3763844781959288 native-country=Puerto-Rico 0.5278111729059933 -0.5120696621597444 native-country=Canada 0.2431022814996986 -0.5365253426301311 native-country=Germany -0.4540283536265677 0.9700110467190107 native-country=Outlying-US(Guam-USVI-etc) 0.9379937436369937 -0.45663240318256637 native-country=India 0.32787632226202756 -0.7570857887735684 native-country=Japan 0.22490891550956255 -0.7234647451450028 native-country=Greece 0.3265747847726345 -0.6632461775515827 native-country=South 0.762041669815292 0.7254332379821303 native-country=China -1.2546952494787558 -0.006478204308805705 native-country=Cuba 0.09819050894981626 0.561753363941791 native-country=Iran -0.21999486158323664 -0.32103230177215225 native-country=Honduras 0.3728323281614226 0.44381604995146623 native-country=Philippines -0.43359322993168525 0.16942807882763558 native-country=Italy 0.14075405713195382 0.8376305182424639 native-country=Poland -0.8107484581080403 -0.2990489751416384 native-country=Jamaica -0.8839708984464977 -0.583045369155787 native-country=Vietnam 0.1628855870968904 0.7664946045532629 native-country=Mexico -0.9520125109511046 -0.32986890135241215 native-country=Portugal 0.13073015110452957 0.16569784820439232 native-country=Ireland -0.4243537847902441 0.7870757729505207 native-country=France -0.987457128205746 0.6716571819745046 native-country=Dominican-Republic -0.41658441690424136 -0.6840800913030259 native-country=Laos 0.15703161862123313 -0.2807472400835133 native-country=Ecuador 0.3884825306281645 0.7788275569424081 native-country=Taiwan -1.0240844625049415 0.31153713429256796 native-country=Haiti -0.5856559918538955 0.30356387570152177 native-country=Columbia -0.8637745728682044 -0.32456448994297765 native-country=Hungary -0.6997292822384987 0.7040522594873119 native-country=Guatemala -0.9914346644192559 -0.8858179704820418 native-country=Nicaragua -0.15754392814334234 -0.2576045510011214 native-country=Scotland -0.6429559258659698 0.4783785148697151 native-country=Thailand -0.42403835559587 -0.009865990021260587 native-country=Yugoslavia -0.2655346650381088 0.33939643071430525 native-country=El-Salvador -1.006098979078166 -0.24423524401981184 native-country=Trinadad&Tobago 0.9477267801043631 -0.7260444842833317 native-country=Peru -0.924491818524967 0.6355009948346596 native-country=Hong 0.4793614628943218 -0.5651430228413564 native-country=Holand-Netherlands Hidden Weights: 4.160743810363717 -4.168146095522326 -1.1164809765161512 0.9151491240149181 >50K <=50K Error sum for iteration 700 = 71.25867941396268 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8448991754651626 -0.38124286383117373 age -0.43928579736252016 1.141463150982337 workclass=Private -1.2267339180077292 0.97170652824896 workclass=Self-emp-not-inc 0.328882384008781 -0.7337498486547983 workclass=Self-emp-inc 1.1850877566009606 0.07573469994029187 workclass=Federal-gov -0.23602132254814331 0.7667106942195259 workclass=Local-gov -0.4755033279774853 0.8020902171312969 workclass=State-gov 0.5045257973188704 0.973527343310069 workclass=Without-pay -0.7499571768078388 0.6834926918991856 workclass=Never-worked 0.4949351908536378 -0.028619806556010225 fnlwgt -0.15622393170227072 0.3672942612170958 education=Bachelors -0.307839447054143 0.10141450674446989 education=Some-college -1.145568382491493 1.234773093633371 education=11th -0.6389550092325368 0.05241254994780299 education=HS-grad 0.6873578806421703 -1.352004450185303 education=Prof-school -0.0937763969039478 0.9597025520533431 education=Assoc-acdm 0.4384087206188197 0.2859010485085852 education=Assoc-voc -1.2487605632291283 0.575413569841648 education=9th 0.051851727352970826 -0.8399517122583754 education=7th-8th -0.05189936732902569 -1.0410782372265637 education=12th -0.5927927842751081 0.9723004449116716 education=Masters -0.29754694055743053 -0.510094166434079 education=1st-4th -1.1971129987388782 0.8425400998666989 education=10th 1.2024653410901092 0.7274708168901451 education=Doctorate -0.9761080854688416 0.06996668709952501 education=5th-6th -0.9300458190921023 -0.650599360474566 education=Preschool 1.894528677780552 0.5275111222578415 education-num 1.1500698524677482 -0.18419876436253269 marital-status=Married-civ-spouse -0.5016497721564855 -0.4568515007540818 marital-status=Divorced -0.9589513940419513 0.05978015676228478 marital-status=Never-married -0.8298296658447984 0.7581799022404017 marital-status=Separated -0.9893983095375053 1.1430857863205492 marital-status=Widowed -0.4603996038257496 -0.6861111118442818 marital-status=Married-spouse-absent 0.3225655517429074 -0.6462256116670171 marital-status=Married-AF-spouse 0.17532731089085746 -0.1433193703050328 occupation=Tech-support -0.2701609418494982 -0.9112909846544872 occupation=Craft-repair 0.1064932574421588 0.20371683999483545 occupation=Other-service -0.31869104042645974 -0.24128836555950106 occupation=Sales 1.1659338074709513 -0.25372041802671275 occupation=Exec-managerial 0.01281464403265448 -0.9475179236906563 occupation=Prof-specialty -1.5949201121293075 -0.6409929137343774 occupation=Handlers-cleaners 0.10486508581736502 -0.2588433071835331 occupation=Machine-op-inspct -0.35933308734314007 -0.2970181340559945 occupation=Adm-clerical -0.5549549207886395 -0.6813607957275207 occupation=Farming-fishing -1.9626612905978984 -0.506084047940308 occupation=Transport-moving 0.8802522564793516 0.27780141072478576 occupation=Priv-house-serv 0.8705589054854704 0.32077443887727736 occupation=Protective-serv 0.31581516812229493 0.9250384060894573 occupation=Armed-Forces 0.45056391344497354 -1.059800812584141 relationship=Wife -1.2223704763276153 0.37775134332450094 relationship=Own-child 0.9121736373876042 -0.06571969223327527 relationship=Husband 0.02701447789048088 -0.7955328623478318 relationship=Not-in-family 0.16049806573884878 -0.3569021295938249 relationship=Other-relative -1.327282037106934 0.16439535675221392 relationship=Unmarried 0.23274051324560333 0.018237174381849124 race=White 0.47470522448008406 -0.47622092390502757 race=Asian-Pac-Islander -0.1206133081081001 -0.6001716547207068 race=Amer-Indian-Eskimo -0.8821655598133593 1.0660701463388624 race=Other -0.14221019267200008 -0.4190362892470655 race=Black -0.35195562652879553 0.19343181556182937 sex 0.5540202436500068 0.5317372857556211 capital-gain 1.8160428691748143 0.1758287084965193 capital-loss 1.337898211866941 0.7671507414210683 hours-per-week 0.12506351494840312 0.16185357286213656 native-country=United-States -0.2635721798234561 -0.3376552783714437 native-country=Cambodia 0.3576555376184826 0.5421052810739555 native-country=England -0.7547007856102332 0.38953576622109 native-country=Puerto-Rico 0.7004435772403407 -0.5458639182860575 native-country=Canada 0.23104861386540068 -0.530561190365417 native-country=Germany -0.46017917946251935 0.9714771298000714 native-country=Outlying-US(Guam-USVI-etc) 0.9659910045768219 -0.46584198362043905 native-country=India 0.3217254964260759 -0.7556197056925077 native-country=Japan 0.21875808967361288 -0.7219986620639421 native-country=Greece 0.4270586213517095 -0.6881580767625816 native-country=South 0.7558908439793459 0.726899321063191 native-country=China -1.364434870907801 0.01831177253813306 native-country=Cuba 0.1511963183534801 0.5503814209351383 native-country=Iran -0.22180893126999637 -0.32075598214031176 native-country=Honduras 0.2804238671315409 0.4609590676242958 native-country=Philippines -0.4397099685146465 0.170696347307773 native-country=Italy -0.0038428875231755087 0.8516427916139887 native-country=Poland -0.8171882542227522 -0.29597485315799565 native-country=Jamaica -0.8901217242824437 -0.5815792860747263 native-country=Vietnam 0.28702903431869325 0.7412997587612138 native-country=Mexico -1.0113562497176527 -0.3164059983829953 native-country=Portugal 0.12457932526858094 0.16716393128545862 native-country=Ireland -0.43051027457021995 0.7885433978254109 native-country=France -0.9935790332985315 0.6729408769841959 native-country=Dominican-Republic -0.49442423906152283 -0.6630758760738502 native-country=Laos 0.06674148814130945 -0.25667133283733323 native-country=Ecuador 0.42038289483097313 0.7748445190302012 native-country=Taiwan -1.0302212296556843 0.31275347463449116 native-country=Haiti -0.5927916345483139 0.3055149589671712 native-country=Columbia -0.8699253987041504 -0.3230984068619153 native-country=Hungary -0.7058801080744448 0.7055183425683725 native-country=Guatemala -0.9975854902552019 -0.8843518874009811 native-country=Nicaragua -0.163694753979292 -0.25613846792005907 native-country=Scotland -0.6374982831841504 0.4752034593774423 native-country=Thailand -0.43018918143182167 -0.00839990694019461 native-country=Yugoslavia -0.2716443385263953 0.3406565780244158 native-country=El-Salvador -1.0122498049141215 -0.24276916093874554 native-country=Trinadad&Tobago 0.941575954268417 -0.724578401202271 native-country=Peru -0.930642644360913 0.6369670779157203 native-country=Hong 0.47321063705837013 -0.5636769397602958 native-country=Holand-Netherlands Hidden Weights: 4.431705430353542 -4.434160930388137 -1.1711696106438325 1.0133343350217583 >50K <=50K Error sum for iteration 800 = 71.59627313513955 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8837574138334542 -0.36852705333306796 age -0.4142202876223633 1.134324151757144 workclass=Private -1.2229527963680187 0.9251819825442028 workclass=Self-emp-not-inc 0.30369249794117736 -0.7083135404363674 workclass=Self-emp-inc 1.1524802396833542 0.10255700188840011 workclass=Federal-gov -0.2395295156632033 0.8112500150571536 workclass=Local-gov -0.5144199926474008 0.7886261158122317 workclass=State-gov 0.4994275380767076 0.9756466493639945 workclass=Without-pay 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-0.17715809202685312 -0.5756093789723995 race=Amer-Indian-Eskimo -0.9631727543058245 1.0828619745166888 race=Other -0.07657388327417644 -0.3994942898557945 race=Black -0.3004385951904867 0.18745006445670137 sex 0.5640307772709469 0.5282134027136123 capital-gain 2.095766432557079 0.11632537382632223 capital-loss 1.2724173403603267 0.747810440554023 hours-per-week 0.10512542909112338 0.21472547423733926 native-country=United-States -0.16187517754544647 -0.3873702494225757 native-country=Cambodia 0.3292117652178473 0.551891971954606 native-country=England -0.8694982139404783 0.4031397745810042 native-country=Puerto-Rico 0.8445648790610469 -0.5746542944912688 native-country=Canada 0.21936409592350006 -0.523403874361618 native-country=Germany -0.4652774387046861 0.9735964358539969 native-country=Outlying-US(Guam-USVI-etc) 0.9969603387728391 -0.47441505816381324 native-country=India 0.31662723718390917 -0.7535003996385822 native-country=Japan 0.21365983043144277 -0.7198793560100166 native-country=Greece 0.5147321481603108 -0.7093611780860863 native-country=South 0.7507925847371862 0.7290186271171165 native-country=China -1.4645032828126765 0.04273521411956496 native-country=Cuba 0.20202119455623443 0.5407325489674996 native-country=Iran -0.22671634431647283 -0.3186824669685716 native-country=Honduras 0.19526805025660277 0.47837827322788545 native-country=Philippines -0.44476411598377036 0.17253991770629648 native-country=Italy -0.1402159778428681 0.8653535592908451 native-country=Poland -0.8225655456140563 -0.29232881005464734 native-country=Jamaica -0.8952199835246034 -0.5794599800208008 native-country=Vietnam 0.4187882146258441 0.716705980133492 native-country=Mexico -1.063978630141111 -0.30325662397975034 native-country=Portugal 0.11948106602641134 0.16928323733940306 native-country=Ireland -0.4355277504545419 0.7906016026765372 native-country=France -0.9986377058995348 0.6748053927951846 native-country=Dominican-Republic -0.5673500381082558 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native-country=Holand-Netherlands Hidden Weights: 4.660671215982184 -4.6592671670947245 -1.2246976111384489 1.0999334845568036 >50K <=50K Error sum for iteration 900 = 71.76960609146059 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8972958912085479 -0.34600241297485823 age -0.39434472905822665 1.1373066408023773 workclass=Private -1.213391876774343 0.8726168392896315 workclass=Self-emp-not-inc 0.27967983414188613 -0.6844460509474644 workclass=Self-emp-inc 1.1080782394445434 0.13359875676260527 workclass=Federal-gov -0.24375584005398268 0.8580851282601678 workclass=Local-gov -0.531742394604054 0.7694917200451364 workclass=State-gov 0.4951041872032957 0.9780057427632535 workclass=Without-pay -0.7593787869234045 0.6879710913523701 workclass=Never-worked 0.4274646076288703 -0.030705695882739047 fnlwgt -0.22942786875810398 0.4027198257156729 education=Bachelors 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0.06584438246659002 native-country=Cuba 0.2504703040926894 0.5324473944186351 native-country=Iran -0.2324033742335368 -0.31587182909999784 native-country=Honduras 0.11708986347954403 0.4951642883602793 native-country=Philippines -0.4490360732653288 0.17456096993591702 native-country=Italy -0.2643053504058261 0.8776773011410866 native-country=Poland -0.8271337235987323 -0.2885932959074718 native-country=Jamaica -0.8995433343980095 -0.5771008866215418 native-country=Vietnam 0.5457373716297589 0.6945479469456992 native-country=Mexico -1.1104682068036626 -0.29112128566087064 native-country=Portugal 0.11515771515300194 0.17164233073866655 native-country=Ireland -0.4396969225901602 0.7928406322503291 native-country=France -1.0029119818099217 0.6768481586902305 native-country=Dominican-Republic -0.6350100924511485 -0.617678433111652 native-country=Laos -0.13145982279022553 -0.1989029124761306 native-country=Ecuador 0.4895589102050908 0.7695057621053445 native-country=Taiwan 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Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8978296607779995 -0.31755401586685195 age -0.3823865343812047 1.1476682429552467 workclass=Private -1.202879618605571 0.8156063947439036 workclass=Self-emp-not-inc 0.2572660078731438 -0.6627100756952097 workclass=Self-emp-inc 1.0666556634867652 0.16464084574062898 workclass=Federal-gov -0.24620290684874277 0.9066354163455538 workclass=Local-gov -0.5387420540710744 0.746686063558063 workclass=State-gov 0.49147471037168566 0.9802824465800881 workclass=Without-pay -0.7630082637550074 0.6902477951692048 workclass=Never-worked 0.39699417819381705 -0.0357736825708266 fnlwgt -0.2662360504230299 0.4263268789558419 education=Bachelors -0.3574153493066468 0.09919080574486257 education=Some-college -1.5321329151044774 1.2932951091085219 education=11th -0.659991771129962 -0.07852745332477341 education=HS-grad 1.2712079804252139 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0.9774440351786966 0.27343089825292877 occupation=Protective-serv 0.3029739979918872 0.9316749393206893 occupation=Armed-Forces 0.3964010902807004 -1.0423561947106683 relationship=Wife -1.3617330910282415 0.3800478312225977 relationship=Own-child 0.7866012505532591 0.03725979632193687 relationship=Husband 0.16713373967884623 -0.8069487788765134 relationship=Not-in-family 0.16624713987425183 -0.30274602448745236 relationship=Other-relative -1.3367677655920336 0.09350601962842478 relationship=Unmarried 0.24606686767190653 -0.06429669987430421 race=White 0.478365568416269 -0.48523154282190994 race=Asian-Pac-Islander -0.2752074461270057 -0.5291462020170853 race=Amer-Indian-Eskimo -1.081590194641791 1.108242803715182 race=Other 0.025157751499458404 -0.35287356364334754 race=Black -0.23263858166416151 0.21067552717818613 sex 0.5853033950933942 0.5209269078680873 capital-gain 2.502756533230181 0.03500133743961366 capital-loss 1.1624466454673819 0.7148348399474783 hours-per-week 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0.4360518019049691 native-country=Puerto-Rico 1.1142487432683663 -0.6302333634866454 native-country=Canada 0.18450434267123406 -0.49819187745431975 native-country=Germany -0.47619379708631915 0.9802828387634532 native-country=Outlying-US(Guam-USVI-etc) 1.0865273968159996 -0.49707280413485533 native-country=India 0.3057108788022761 -0.7468139967291259 native-country=Japan 0.20274347204981738 -0.7131929531005603 native-country=Greece 0.717758579303057 -0.7591960290151155 native-country=South 0.7398762263555662 0.7357050300265728 native-country=China -1.698493950929159 0.10707971656357736 native-country=Cuba 0.33853118539895644 0.518809950001002 native-country=Iran -0.24230830240587425 -0.31023129318833487 native-country=Honduras -0.01987867460217285 0.5248931731464502 native-country=Philippines -0.4555190474234066 0.1781065867496014 native-country=Italy -0.47560256137502877 0.8972274266680541 native-country=Poland -0.8340823629420177 -0.28210573538347444 native-country=Jamaica 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native-country=Thailand -0.44620379905562146 4.058020232125163E-4 native-country=Yugoslavia -0.28744843170234374 0.3482260216256941 native-country=El-Salvador -1.0282644225379312 -0.23396345197533802 native-country=Trinadad&Tobago 0.9255613366446372 -0.7157726922388892 native-country=Peru -0.9466572619846928 0.6457727868791021 native-country=Hong 0.45719601943457033 -0.5548712307969139 native-country=Holand-Netherlands Hidden Weights: 5.163212059046075 -5.156654073574907 -1.3907699708222532 1.3250133856212993 >50K <=50K Error sum for iteration 1200 = 71.8120579409899 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8877377665961789 -0.2506091579387704 age -0.3754870982578552 1.176457575427021 workclass=Private -1.1874121532233597 0.6964843560826457 workclass=Self-emp-not-inc 0.21311285667606114 -0.6246311326421377 workclass=Self-emp-inc 1.018750534923346 0.2211841171864643 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relationship=Other-relative -1.3162011829528135 0.023753281308388906 relationship=Unmarried 0.2502120207107245 -0.13777751253683918 race=White 0.4996855520736063 -0.46622680647298836 race=Asian-Pac-Islander -0.3561445633638988 -0.48806820304490234 race=Amer-Indian-Eskimo -1.1624847084108991 1.1257057945487732 race=Other 0.09227519823077383 -0.30636889041112586 race=Black -0.21608000279783895 0.27620296456059973 sex 0.6126123392954528 0.51105493917797 capital-gain 2.7547104323322036 -0.007949708337163377 capital-loss 1.0601341134360882 0.6832493299926833 hours-per-week 0.03451955958454666 0.3871785125461717 native-country=United-States 0.4157281554499234 -0.6286731523987711 native-country=Cambodia 0.22846921928609526 0.5945207356736136 native-country=England -1.2435123903498175 0.443916760012267 native-country=Puerto-Rico 1.1657588759618462 -0.6410580069294793 native-country=Canada 0.17307736825549544 -0.48892981122518503 native-country=Germany -0.4785571162234387 0.9821222012796464 native-country=Outlying-US(Guam-USVI-etc) 1.1116389337134895 -0.5034435491842721 native-country=India 0.30334755966515653 -0.7449746342129326 native-country=Japan 0.2003801529126962 -0.7113535905843671 native-country=Greece 0.7684834922921127 -0.7722109364887944 native-country=South 0.7375129072184388 0.737544392542766 native-country=China -1.7590326654746096 0.12576692299411824 native-country=Cuba 0.37629833290458325 0.5133777743406389 native-country=Iran -0.24607284691715384 -0.3077384129390548 native-country=Honduras -0.08073679042700102 0.5378424161642559 native-country=Philippines -0.4578304940794397 0.17954008524418566 native-country=Italy -0.5661277958943279 0.9048931799492314 native-country=Poland -0.836561352499356 -0.27950223852815964 native-country=Jamaica -0.9084996610433509 -0.5709342145951513 native-country=Vietnam 0.8521577065766823 0.6467226336776665 native-country=Mexico -1.2231564278418763 -0.2619264979986696 native-country=Portugal 0.10620138850766736 0.17780900276507217 native-country=Ireland -0.4479846930432561 0.7984396840718884 native-country=France -1.0116914601408893 0.6818425955104345 native-country=Dominican-Republic -0.8091447606069152 -0.5485453608296028 native-country=Laos -0.40986796492755856 -0.10392151566693442 native-country=Ecuador 0.575269843731107 0.7664638815593163 native-country=Taiwan -1.0484476378433716 0.3211800806376146 native-country=Haiti -0.6137981175470197 0.31734658349335315 native-country=Columbia -0.8883033354650576 -0.3124533353822997 native-country=Hungary -0.7242580448353519 0.7161634140479476 native-country=Guatemala -1.0159634270161328 -0.8737068159214061 native-country=Nicaragua -0.18207269074020868 -0.2454933964404436 native-country=Scotland -0.5967733833407545 0.46541221313489745 native-country=Thailand -0.44856711819274103 0.0022451645394182002 native-country=Yugoslavia -0.2897612447510763 0.3497164072683496 native-country=El-Salvador -1.0306277416750476 -0.232124089459132 native-country=Trinadad&Tobago 0.9231980175075098 -0.713933329722696 native-country=Peru -0.9490205811218202 0.6476121493952953 native-country=Hong 0.45483270029745076 -0.5530318682807207 native-country=Holand-Netherlands Hidden Weights: 5.287710381196497 -5.2807948777529745 -1.4515351774974183 1.3974579773387132 >50K <=50K Error sum for iteration 1300 = 71.75825463951459 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8822323708552966 -0.2134040739635136 age -0.3747438378817827 1.1893724438293982 workclass=Private -1.1869593468214552 0.639369972410004 workclass=Self-emp-not-inc 0.19205380311724626 -0.6082953237611788 workclass=Self-emp-inc 1.0110969473593046 0.24755219442260898 workclass=Federal-gov -0.23962178494744257 1.062832742299589 workclass=Local-gov -0.5498797535574576 0.6657419521894941 workclass=State-gov 0.4842058153584861 0.9858572389901902 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native-country=Greece 0.8119964414497731 -0.7835987166532625 native-country=South 0.7355708620189619 0.7392292167433122 native-country=China -1.8141159152859143 0.14376983745227223 native-country=Cuba 0.40895815172397404 0.508893450007307 native-country=Iran -0.24921150496256617 -0.30545114700063863 native-country=Honduras -0.1379858909039307 0.5497250916569619 native-country=Philippines -0.45972514222125016 0.18082579221349726 native-country=Italy -0.6489713593068593 0.9115485859036955 native-country=Poland -0.8385829972864371 -0.2772703313335128 native-country=Jamaica -0.9104417062428277 -0.5692493903946051 native-country=Vietnam 0.9279862424494572 0.6366790861318132 native-country=Mexico -1.255250024472382 -0.25398536107002184 native-country=Portugal 0.10425934330819175 0.1794938269656355 native-country=Ireland -0.44969208258447596 0.7999077915180715 native-country=France -1.0135718027498561 0.6830917305525673 native-country=Dominican-Republic -0.859680432056312 -0.5259776615916172 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5.397686706262634 -5.390716962887543 -1.5167162699230836 1.4719947250246537 >50K <=50K Error sum for iteration 1400 = 71.65172471645351 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8783092774687485 -0.17446503525119952 age -0.3733287013451047 1.199380235369894 workclass=Private -1.1964681424854036 0.5863370432034608 workclass=Self-emp-not-inc 0.17359396997848978 -0.5942114148298012 workclass=Self-emp-inc 1.0104045511414397 0.27367092375675917 workclass=Federal-gov -0.23331211431755117 1.1187006471036838 workclass=Local-gov -0.5539770919224677 0.6344454357173825 workclass=State-gov 0.4824177041999744 0.9874107310567247 workclass=Without-pay -0.7720652699267332 0.6973760796458414 workclass=Never-worked 0.3475771913478646 -0.09694551646135366 fnlwgt -0.36596515516493106 0.5001550098919599 education=Bachelors -0.405869541975385 -0.013993636016953954 education=Some-college 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capital-gain 2.9146313637781702 -0.027614993352787286 capital-loss 0.9603351842963215 0.6522945411402252 hours-per-week -0.013900179217628067 0.43606490189687197 native-country=United-States 0.8181435343012587 -0.7614418899283167 native-country=Cambodia 0.18093890467513138 0.6166312340545057 native-country=England -1.3844839703729617 0.45635729272519876 native-country=Puerto-Rico 1.235633166974063 -0.6551874860243437 native-country=Canada 0.14943343105266 -0.46828587330336563 native-country=Germany -0.4822872725814205 0.9853605175467272 native-country=Outlying-US(Guam-USVI-etc) 1.1529752731837177 -0.5140999157167774 native-country=India 0.29961740330717473 -0.7417363179458519 native-country=Japan 0.1966499965547145 -0.7081152743172864 native-country=Greece 0.8498002604095235 -0.7937065968649353 native-country=South 0.7337827508604515 0.7407827088098468 native-country=China -1.8650321887378887 0.1614234017910864 native-country=Cuba 0.4365467476248666 0.5052450942203459 native-country=Iran -0.25202418365221635 -0.30335801410644697 native-country=Honduras -0.19183529525181414 0.560516179616122 native-country=Philippines -0.4614712278695433 0.18199664383669664 native-country=Italy -0.7252414707525674 0.9173596471185552 native-country=Poland -0.8404179229617097 -0.27538585786119046 native-country=Jamaica -0.9122298174013381 -0.5676958983280705 native-country=Vietnam 0.9924545767430389 0.6290041486951283 native-country=Mexico -1.2858651262841265 -0.24668310646759567 native-country=Portugal 0.10247123214968548 0.18104731903216928 native-country=Ireland -0.45125367156056706 0.8012415776725796 native-country=France -1.0152976783483665 0.6841872673209239 native-country=Dominican-Republic -0.9067171585130798 -0.5039543106998655 native-country=Laos -0.5616239196675182 -0.04350540790705001 native-country=Ecuador 0.6128747976987408 0.7667515225122735 native-country=Taiwan -1.0520891129712715 0.323306498734405 native-country=Haiti -0.6175482594959275 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Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8771457118867674 -0.1344263615710539 age -0.37113610375486245 1.2069835787212646 workclass=Private -1.215843741584611 0.536760063517303 workclass=Self-emp-not-inc 0.15824381023260672 -0.5823102650995335 workclass=Self-emp-inc 1.013855757535653 0.30007026677787446 workclass=Federal-gov -0.2253363531296924 1.1764534119118473 workclass=Local-gov -0.5580800738810501 0.6002643356610327 workclass=State-gov 0.4806170487977332 0.9888320539973243 workclass=Without-pay -0.7738659253289843 0.698797402586441 workclass=Never-worked 0.3427796908342181 -0.12002578278997718 fnlwgt -0.38319510793959954 0.5111176727832124 education=Bachelors -0.4181240987735861 -0.05566374322791628 education=Some-college -1.9851311048163345 1.3370161288006424 education=11th -0.6491068374070608 -0.35424277883527383 education=HS-grad 1.8952889437884284 -1.651386453134562 education=Prof-school -0.39497004560417653 1.307787419702327 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0.9391440287396655 occupation=Armed-Forces 0.20123584649495513 -1.1602079367206883 relationship=Wife -1.5025000059595064 0.32827022374059467 relationship=Own-child 0.7315953358626919 0.24516117730610953 relationship=Husband 0.2650412886708228 -0.6545940677522516 relationship=Not-in-family 0.25513437584858994 -0.1858372590691693 relationship=Other-relative -1.2846317391860238 -0.09433498456455687 relationship=Unmarried 0.2614254009976537 -0.287505964392109 race=White 0.5293766682034187 -0.37448187850010123 race=Asian-Pac-Islander -0.45231145407374423 -0.4373235163522147 race=Amer-Indian-Eskimo -1.2425648734121713 1.1439953020651012 race=Other 0.15571720464228814 -0.25684425103771397 race=Black -0.22638700937480227 0.4311347373384912 sex 0.6632444464465179 0.4908246753772216 capital-gain 2.9716256565882113 -0.03145547724483336 capital-loss 0.91609416363429 0.6366261300207354 hours-per-week -0.028073397420349762 0.44767206509390217 native-country=United-States 1.0096423920488844 -0.8206246999311787 native-country=Cambodia 0.15829165196214806 0.627267637875581 native-country=England -1.4469685118646778 0.46127244328321715 native-country=Puerto-Rico 1.2606484371817746 -0.6598121629000542 native-country=Canada 0.1367152812127927 -0.45660647813163113 native-country=Germany -0.4840879279836617 0.9867818404873268 native-country=Outlying-US(Guam-USVI-etc) 1.1705720400737551 -0.5188344503132156 native-country=India 0.29781674790493357 -0.7403149950052523 native-country=Japan 0.19484934115247063 -0.7066939513766868 native-country=Greece 0.8837473346449326 -0.802994007927482 native-country=South 0.7319820954582004 0.7422040317504464 native-country=China -1.9123696997163497 0.17896235872443886 native-country=Cuba 0.45971208390638296 0.5022383480165727 native-country=Iran -0.2547150403111387 -0.30146429620802584 native-country=Honduras -0.24174234374257272 0.5700887672106794 native-country=Philippines -0.4632362630218807 0.18306481045237125 native-country=Italy -0.7952630843105096 0.922410547600467 native-country=Poland -0.8422362102136213 -0.27383737759393717 native-country=Jamaica -0.9140304728035893 -0.566274575387471 native-country=Vietnam 1.0474764421008345 0.6232288147589159 native-country=Mexico -1.3152146436917194 -0.2399653429159498 native-country=Portugal 0.10067057674744533 0.1824686419727694 native-country=Ireland -0.4528427901984096 0.8024454753740569 native-country=France -1.017035900965673 0.6851265187313692 native-country=Dominican-Republic -0.9496045136542529 -0.48288049374953035 native-country=Laos -0.6277244603044663 -0.015321745163805087 native-country=Ecuador 0.6268281840150813 0.7672784254603495 native-country=Taiwan -1.0538414190002352 0.32413782500757304 native-country=Haiti -0.6192031891484788 0.3219723282641239 native-country=Columbia -0.893834147225296 -0.3077936961745958 native-country=Hungary -0.7297888565955903 0.7208230532556279 native-country=Guatemala -1.0214942387763113 -0.8690471767137258 native-country=Nicaragua -0.18760350250043425 -0.24083375723274636 native-country=Scotland -0.5655505193775748 0.4585228208420954 native-country=Thailand -0.454097929952964 0.006904803747112557 native-country=Yugoslavia -0.2951579979805871 0.3532905852897121 native-country=El-Salvador -1.036158553435226 -0.22746445025143475 native-country=Trinadad&Tobago 0.9176672057472715 -0.7092736905150157 native-country=Peru -0.9545513928820586 0.6522717886029756 native-country=Hong 0.4493018885372278 -0.5483722290730404 native-country=Holand-Netherlands Hidden Weights: 5.5849627412612035 -5.578425675514606 -1.6564450963056123 1.6255969335529352 >50K <=50K Error sum for iteration 1600 = 71.36932208113126 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8788339623377944 -0.09343932788751093 age -0.3685105966883824 1.2133643224306911 workclass=Private -1.2406326146009097 0.4891226549194521 workclass=Self-emp-not-inc 0.1450422876186304 -0.5719532311890962 workclass=Self-emp-inc 1.0191264411870902 0.3271638751924486 workclass=Federal-gov -0.21622463025408878 1.2362181689719385 workclass=Local-gov -0.5624754798450758 0.5628010556354115 workclass=State-gov 0.47880434251196735 0.9901531578881146 workclass=Without-pay -0.775678631614766 0.7001185064772313 workclass=Never-worked 0.33537135418034286 -0.14476502910870057 fnlwgt -0.39957027607198553 0.5195738224929413 education=Bachelors -0.43288981912073193 -0.10031037455895422 education=Some-college -2.0504415236127156 1.3405682610035978 education=11th -0.6554429503885105 -0.3950462260522336 education=HS-grad 1.964416909611793 -1.6665254076786784 education=Prof-school -0.4064095775836502 1.3426126587584812 education=Assoc-acdm 0.395524079885283 0.4106507671543505 education=Assoc-voc -1.5145068564144768 0.6761986534946823 education=9th 0.678176427013669 -0.6791573276131226 education=7th-8th 0.5538954651388013 -1.4436159596817884 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-1.1207630112595268 occupation=Craft-repair 0.05581656522447274 0.39490587471941746 occupation=Other-service -0.24844889625383806 0.12118712003429306 occupation=Sales 0.9786026179196194 -0.1445634392410504 occupation=Exec-managerial -0.34450403660789036 -1.5398665133186251 occupation=Prof-specialty -1.74129175481554 -0.5735093658020891 occupation=Handlers-cleaners 0.06860823947855044 -0.37284594740451993 occupation=Machine-op-inspct -0.15097550472099977 0.46462396817263824 occupation=Adm-clerical -0.24898661739359212 -0.9067108188806267 occupation=Farming-fishing -2.104061525536498 -0.49247068133663086 occupation=Transport-moving 0.8545308016724243 0.2944272253028904 occupation=Priv-house-serv 0.9228149400147083 0.21063901006245053 occupation=Protective-serv 0.2923266555016506 0.9401559624180081 occupation=Armed-Forces 0.14972538775659916 -1.2133519596250792 relationship=Wife -1.5247500906662201 0.3154058901711855 relationship=Own-child 0.7298020815708632 0.29138357573718576 relationship=Husband 0.28295105007961385 -0.6054060818576047 relationship=Not-in-family 0.27940244655765334 -0.15545247273290483 relationship=Other-relative -1.2766336615677223 -0.13562634428167686 relationship=Unmarried 0.2649681119287483 -0.3461076661002739 race=White 0.5334962960892281 -0.327851888515225 race=Asian-Pac-Islander -0.4790196769072937 -0.4233324735113022 race=Amer-Indian-Eskimo -1.2621192573935376 1.1488872204959564 race=Other 0.17075229092529645 -0.24658115000590963 race=Black -0.22814382143059567 0.48852792505093295 sex 0.6800303518218822 0.48294354775374304 capital-gain 3.0175568956236876 -0.032084705326347725 capital-loss 0.8789418785334697 0.6206848866006479 hours-per-week -0.035316116680758194 0.4523500476369149 native-country=United-States 1.1814043282895879 -0.8734970382877153 native-country=Cambodia 0.13725482088302668 0.6371787343571012 native-country=England -1.5045321429012646 0.46551497721745305 native-country=Puerto-Rico 1.2821344963058872 -0.6634018681024003 native-country=Canada 0.12343314126805567 -0.44385362080078883 native-country=Germany -0.48590063426942753 0.9881029443781171 native-country=Outlying-US(Guam-USVI-etc) 1.1872828613253823 -0.5234765265658959 native-country=India 0.2960040416191677 -0.738993891114462 native-country=Japan 0.1930366348667038 -0.7053728474858965 native-country=Greece 0.9152714749765583 -0.8117598465656319 native-country=South 0.7301693891724187 0.7435251356412367 native-country=China -1.9563608476220458 0.19665434586980987 native-country=Cuba 0.47935760069410904 0.4997136987227149 native-country=Iran -0.25731621378837355 -0.2997375854812928 native-country=Honduras -0.28726929547892216 0.5784170155340249 native-country=Philippines -0.46502061561292485 0.1840776654225132 native-country=Italy -0.8590991651033684 0.9268013176970288 native-country=Poland -0.844041053584715 -0.2725740523924285 native-country=Jamaica -0.915843179089371 -0.5649534714966806 native-country=Vietnam 1.0948773131665757 0.6190113271244976 native-country=Mexico -1.343184133201955 -0.23375279163036197 native-country=Portugal 0.0988578704616752 0.1837897458635602 native-country=Ireland -0.4544654433613464 0.8035576806874214 native-country=France -1.0187862874202138 0.685939993443874 native-country=Dominican-Republic -0.9879338000962472 -0.46297517740749783 native-country=Laos -0.688070880239138 0.011344457484163344 native-country=Ecuador 0.6383570318517118 0.7679550766442862 native-country=Taiwan -1.055604017577706 0.32484743741564476 native-country=Haiti -0.6207699878280196 0.3232278525170602 native-country=Columbia -0.8956468535110776 -0.3064725922838107 native-country=Hungary -0.731601562881372 0.7221441571464182 native-country=Guatemala -1.0233069450620784 -0.8677260728229355 native-country=Nicaragua -0.18941620878620108 -0.23951265334195557 native-country=Scotland -0.5534496055185277 0.45576039362538356 native-country=Thailand -0.45591063623872985 0.008225907637902779 native-country=Yugoslavia -0.29693161423751013 0.3542327352715615 native-country=El-Salvador -1.0379712597209931 -0.22614334636064395 native-country=Trinadad&Tobago 0.9158544994614898 -0.7079525866242253 native-country=Peru -0.9563640991678403 0.653592892493766 native-country=Hong 0.44748918225146195 -0.5470511251822501 native-country=Holand-Netherlands Hidden Weights: 5.665036429112328 -5.658866781994209 -1.729973594573274 1.7043368918893664 >50K <=50K Error sum for iteration 1700 = 71.25153652292607 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8826363707448255 -0.05127653699482409 age -0.3654713238549353 1.2193448625089156 workclass=Private -1.266678530438258 0.44273550794959454 workclass=Self-emp-not-inc 0.1327199679936942 -0.5625485985269993 workclass=Self-emp-inc 1.0244796200847357 0.3552967162669929 workclass=Federal-gov -0.20625287871663653 1.2982314620684767 workclass=Local-gov -0.5673145838595146 0.5216567935723784 workclass=State-gov 0.47702983278280975 0.9914388648794373 workclass=Without-pay -0.7774531413439275 0.701404213468554 workclass=Never-worked 0.32526044346905664 -0.17070521487646478 fnlwgt -0.41534401796682807 0.5260086298029719 education=Bachelors -0.4501358605744666 -0.14687966450285928 education=Some-college -2.110031033842762 1.3431057148375425 education=11th -0.6650406784162068 -0.43046456417936335 education=HS-grad 2.021575190328758 -1.6789881752422806 education=Prof-school -0.4181345676757672 1.3733714229541705 education=Assoc-acdm 0.390084598136663 0.43955957167403376 education=Assoc-voc -1.5304494287356616 0.6802303659346152 education=9th 0.7061035640951057 -0.6522704144194712 education=7th-8th 0.6500355143668187 -1.5048085559945634 education=12th -0.9714263885530059 1.3421297111906936 education=Masters -0.9517014842438273 -0.2197389800568622 education=1st-4th -1.3712265563631705 0.9132369650947368 education=10th 1.4739367011592766 0.6526544420259447 education=Doctorate -1.309304361228932 0.19835940514639888 education=5th-6th -0.9653903957222466 -0.6101676524641904 education=Preschool 2.710348698502368 0.38683827114999053 education-num 1.3812760104129693 -0.017032728748865956 marital-status=Married-civ-spouse -0.3555526995982801 -0.6133204276172891 marital-status=Divorced -0.8044252635392857 -0.07588310978569421 marital-status=Never-married -0.8765837820607829 0.7563522791704144 marital-status=Separated -1.5346023549257697 1.2401560412410018 marital-status=Widowed -0.697557868099364 -0.4712233476436648 marital-status=Married-spouse-absent 0.20741314857367302 -0.5627170263794196 marital-status=Married-AF-spouse -0.0610540738335112 -0.07647267992650822 occupation=Tech-support -0.2735921372394133 -1.1326127960166044 occupation=Craft-repair 0.05753114351796275 0.4061947314210697 occupation=Other-service -0.2401647859283064 0.1633780635327012 occupation=Sales 0.9797141895033199 -0.10176331640744711 occupation=Exec-managerial -0.3783131383640084 -1.6198456626828315 occupation=Prof-specialty -1.7494685366890457 -0.57102217736554 occupation=Handlers-cleaners 0.05917576414706701 -0.4004695425508522 occupation=Machine-op-inspct -0.1323658417601815 0.5507032678622058 occupation=Adm-clerical -0.2519289329462746 -0.9158399521009416 occupation=Farming-fishing -2.1019525219474584 -0.4981196671750606 occupation=Transport-moving 0.8527562919432629 0.2957129322942058 occupation=Priv-house-serv 0.9151469857197204 0.19900402124101196 occupation=Protective-serv 0.290943416689734 0.9411010872099657 occupation=Armed-Forces 0.09537312365875614 -1.2753903405797247 relationship=Wife -1.5460694249014917 0.3030432654059637 relationship=Own-child 0.7290055327785563 0.33618134610756606 relationship=Husband 0.3031308730825245 -0.550445509582793 relationship=Not-in-family 0.30447750280885794 -0.12143517210288837 relationship=Other-relative -1.2702635299045784 -0.17700108395853104 relationship=Unmarried 0.26596692495990043 -0.4066796815750204 race=White 0.5388605718103191 -0.27608691484976894 race=Asian-Pac-Islander -0.5034951509516237 -0.4106448590837159 race=Amer-Indian-Eskimo -1.2789664124791265 1.1534486967344781 race=Other 0.1826432048239596 -0.23830900797556978 race=Black -0.22653372873888705 0.5449490974265857 sex 0.6961323086957462 0.47463706373144393 capital-gain 3.055013632836618 -0.029855819645824396 capital-loss 0.8497046926523505 0.6048486981022647 hours-per-week -0.037882559453128496 0.45189415992347687 native-country=United-States 1.3326739391049596 -0.9206260627259725 native-country=Cambodia 0.11817847854486331 0.646197396582888 native-country=England -1.5573725609329399 0.46924744888354625 native-country=Puerto-Rico 1.3012686932749131 -0.6661049331470283 native-country=Canada 0.10974248115667025 -0.42987326482213284 native-country=Germany -0.48767514399858514 0.9893886513694398 native-country=Outlying-US(Guam-USVI-etc) 1.203556240874778 -0.5280818469840518 native-country=India 0.2942295318900101 -0.7377081841231393 native-country=Japan 0.1912621251375486 -0.7040871404945738 native-country=Greece 0.9451152395441448 -0.8200864588562014 native-country=South 0.7283948794432572 0.7448108426325594 native-country=China -1.9972240787046283 0.21483677907022178 native-country=Cuba 0.4963061474604074 0.4975798378756861 native-country=Iran -0.2598024683092324 -0.2981087388904261 native-country=Honduras -0.32847223651220453 0.5855969786912966 native-country=Philippines -0.46677425654255955 0.18511371583750016 native-country=Italy -0.9170260896211143 0.930660482357828 native-country=Poland -0.8457853862231685 -0.27151088594727096 native-country=Jamaica -0.9176176888185325 -0.5636677645053579 native-country=Vietnam 1.1360770435122314 0.6161480911928194 native-country=Mexico -1.369582910080841 -0.22793898669137846 native-country=Portugal 0.09708336073251847 0.18507545285488042 native-country=Ireland -0.4560758675849469 0.8046494368381012 native-country=France -1.0204984489824405 0.6866901174246084 native-country=Dominican-Republic -1.0218597405473742 -0.4441958267379091 native-country=Laos -0.743269534170539 0.03655847121367341 native-country=Ecuador 0.64781110568737 0.7687815573492235 native-country=Taiwan -1.0573271798289023 0.3255009576141421 native-country=Haiti -0.6222024315276752 0.32443059851998757 native-country=Columbia -0.8974213632402391 -0.30518688529249527 native-country=Hungary -0.7333760726105335 0.7234298641377409 native-country=Guatemala -1.025081454791229 -0.8664403658316128 native-country=Nicaragua -0.1911907185153563 -0.23822694635063535 native-country=Scotland -0.5400154843569364 0.45278332577292046 native-country=Thailand -0.45768514596788745 0.009511614629222662 native-country=Yugoslavia -0.2986696180651516 0.3551279367967664 native-country=El-Salvador -1.0397457694501437 -0.22485763936932374 native-country=Trinadad&Tobago 0.9140799897323283 -0.7066668796329026 native-country=Peru 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occupation=Machine-op-inspct -0.11123758991122552 0.6352699184916111 occupation=Adm-clerical -0.261111459037047 -0.923890803986266 occupation=Farming-fishing -2.0987923324736832 -0.503047299178389 occupation=Transport-moving 0.8510543795120392 0.2970297562311929 occupation=Priv-house-serv 0.9090173759583756 0.18697042083147414 occupation=Protective-serv 0.28963618640177624 0.9420449718322401 occupation=Armed-Forces 0.03853585079104634 -1.3452127242764513 relationship=Wife -1.5666063963322563 0.29184563042391004 relationship=Own-child 0.7287225878292831 0.3789039310191074 relationship=Husband 0.32700650816007265 -0.4911675546797535 relationship=Not-in-family 0.32958129028972666 -0.08309946668937893 relationship=Other-relative -1.2654125372524887 -0.21788177539002287 relationship=Unmarried 0.26407519987451417 -0.46826414374639375 race=White 0.546465035463603 -0.22024375308994926 race=Asian-Pac-Islander -0.5259928463110916 -0.3991592310181673 race=Amer-Indian-Eskimo -1.2934609216080082 1.1577971480805889 race=Other 0.19179780913840724 -0.23128307579481924 race=Black -0.221128076388385 0.5986666907984448 sex 0.7115832616414014 0.46592539779629577 capital-gain 3.08598479429609 -0.02505739139317716 capital-loss 0.8280307955568689 0.5897242839369247 hours-per-week -0.037637563300586145 0.44752000468640507 native-country=United-States 1.4653294130732843 -0.9627946467280816 native-country=Cambodia 0.10114429309768304 0.6542603687811945 native-country=England -1.6057270531701946 0.47261300249339105 native-country=Puerto-Rico 1.3187056906302403 -0.6679534132831787 native-country=Canada 0.09577120658930796 -0.41450074233003553 native-country=Germany -0.48937705642981666 0.9907054753064205 native-country=Outlying-US(Guam-USVI-etc) 1.2195358882901743 -0.5326255216452916 native-country=India 0.2925276194587786 -0.7363913601861586 native-country=Japan 0.18956021270631654 -0.702770316557593 native-country=Greece 0.9735577881282507 -0.8279369292175582 native-country=South 0.7266929670120336 0.7461276665695401 native-country=China -2.0352219698070755 0.23387981461554258 native-country=Cuba 0.5112148481644669 0.49578413997383597 native-country=Iran -0.2621581125153765 -0.2965045319718269 native-country=Honduras -0.3656903674461731 0.5917656992064568 native-country=Philippines -0.46846230460496036 0.1862481141422562 native-country=Italy -0.9695486800739026 0.9341115214576083 native-country=Poland -0.8474374185613675 -0.27056018673900206 native-country=Jamaica -0.9193196012497561 -0.5623509405683772 native-country=Vietnam 1.17214689353148 0.614500458592535 native-country=Mexico -1.3942671549523555 -0.2224213100621498 native-country=Portugal 0.09538144830128852 0.18639227679186834 native-country=Ireland -0.4576415316891905 0.8057927563157223 native-country=France -1.022137416653964 0.6874399465375256 native-country=Dominican-Republic -1.0518506979836197 -0.4263758756104872 native-country=Laos -0.7939421578640147 0.06044548053175169 native-country=Ecuador 0.655382465379094 0.7697784260352736 native-country=Taiwan -1.0589767788988294 0.32616590727335565 native-country=Haiti -0.6234725821934973 0.32565310285711163 native-country=Columbia -0.8991232756714628 -0.3038700613555082 native-country=Hungary -0.7350779850417571 0.7247466880747216 native-country=Guatemala -1.0267833672224773 -0.865123541894632 native-country=Nicaragua -0.19289263094658834 -0.23691012241364742 native-country=Scotland -0.5252558138796325 0.4497156307386366 native-country=Thailand -0.459387058399119 0.010828438566209499 native-country=Yugoslavia -0.3003373882346317 0.35604108434881726 native-country=El-Salvador -1.041447681881392 -0.2235408154323358 native-country=Trinadad&Tobago 0.9123780773011047 -0.7053500556959219 native-country=Peru -0.9598405213282254 0.6561954234220694 native-country=Hong 0.4440127600910728 -0.5444485942539466 native-country=Holand-Netherlands Hidden Weights: 5.803864260014928 -5.798550928371202 -1.8855157526487303 1.8679378227790502 >50K <=50K Error sum for iteration 1900 = 71.1004041056232 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8933626744664328 0.037481563552409496 age -0.35745489826537985 1.231084939077949 workclass=Private -1.3142132511208737 0.3557154444108769 workclass=Self-emp-not-inc 0.1078128152389269 -0.5469215582308835 workclass=Self-emp-inc 1.0307976311184255 0.41586962391127175 workclass=Federal-gov -0.18359579226851178 1.4302179018331582 workclass=Local-gov -0.5782933504105086 0.42679439107897915 workclass=State-gov 0.47371346728874103 0.9941562933252761 workclass=Without-pay -0.7807695068379987 0.7041216419143927 workclass=Never-worked 0.30054940350995385 -0.2246159418929696 fnlwgt -0.446170270814078 0.5342629901036805 education=Bachelors -0.491168182051878 -0.24180235938890063 education=Some-college -2.2150018740267603 1.345887950004689 education=11th -0.69068584733279 -0.4846248499509891 education=HS-grad 2.1073930463465285 -1.697242601602441 education=Prof-school -0.44857433655325835 1.420433921296586 education=Assoc-acdm 0.37675896855104457 0.5070097346245916 education=Assoc-voc -1.5571202107248985 0.6860455370399363 education=9th 0.7552890553746201 -0.6027939895028878 education=7th-8th 0.8657631943570747 -1.6361263537932644 education=12th -0.9612519171136391 1.4320744525866547 education=Masters -1.024998258177015 -0.17460255365604466 education=1st-4th -1.3871158235922103 0.9182753038261379 education=10th 1.463125033166409 0.6585510554472866 education=Doctorate -1.3726630616481228 0.22852551908180238 education=5th-6th -0.9696214928550169 -0.6033172516147443 education=Preschool 2.777731960231848 0.39358681299926757 education-num 1.4175041054336242 -0.0650294295491452 marital-status=Married-civ-spouse -0.31073389143404945 -0.5709349925756344 marital-status=Divorced -0.8202348271880109 -0.10798110906870802 marital-status=Never-married -0.8807470233616599 0.7530220776838658 marital-status=Separated -1.5870032944459511 1.2455994495613574 marital-status=Widowed -0.7385971374728626 -0.41452619682229735 marital-status=Married-spouse-absent 0.19003377682104605 -0.5430566923051288 marital-status=Married-AF-spouse -0.07769834602372325 -0.12001485016645896 occupation=Tech-support -0.2689038511457802 -1.138496594474226 occupation=Craft-repair 0.05994690078959301 0.41438000675575326 occupation=Other-service -0.22114976948330986 0.24747844265032534 occupation=Sales 0.989726641992167 0.011665894966249325 occupation=Exec-managerial -0.44826928509517544 -1.7857516287934305 occupation=Prof-specialty -1.7635415014924756 -0.566549985312552 occupation=Handlers-cleaners 0.03785210529585005 -0.45824159559524713 occupation=Machine-op-inspct -0.08739315350388482 0.7178023632589492 occupation=Adm-clerical -0.2741091714773723 -0.9318648077954685 occupation=Farming-fishing -2.0948058956022297 -0.5067914734377432 occupation=Transport-moving 0.8494399264491916 0.2984303607400612 occupation=Priv-house-serv 0.9039548107480777 0.17464631064904323 occupation=Protective-serv 0.288418370492435 0.9430392916989098 occupation=Armed-Forces -0.020615119747576707 -1.4216690815111437 relationship=Wife -1.586434012882775 0.2824655460255426 relationship=Own-child 0.7286517525563918 0.4191126600491792 relationship=Husband 0.3554465266576485 -0.42938709086283605 relationship=Not-in-family 0.3539824384172643 -0.039804896584550276 relationship=Other-relative -1.2618066243953299 -0.25772063358462705 relationship=Unmarried 0.2594040303744313 -0.5301888431631212 race=White 0.5563500617511399 -0.16109799824834437 race=Asian-Pac-Islander -0.5467542716431336 -0.3887955616182795 race=Amer-Indian-Eskimo -1.3059046943796986 1.1620061498607988 race=Other 0.1988012606377524 -0.2248689437845088 race=Black -0.2120164429729613 0.6482155341882228 sex 0.726528746662232 0.456777953307007 capital-gain 3.111933330749004 -0.018010220280018696 capital-loss 0.8130744116403511 0.5759812984083339 hours-per-week -0.035916012530650666 0.43985840827815004 native-country=United-States 1.58183955482129 -1.0007194039050922 native-country=Cambodia 0.08608684156928356 0.6613678204359912 native-country=England -1.6498437643528423 0.47572357941352456 native-country=Puerto-Rico 1.3348457850923838 -0.6689409358159742 native-country=Canada 0.08161161550134052 -0.39757389001340576 native-country=Germany -0.49099150949265385 0.9921060798152785 native-country=Outlying-US(Guam-USVI-etc) 1.2352156233269722 -0.5370583928582717 native-country=India 0.2909131663959414 -0.7349907556773005 native-country=Japan 0.1879457596434801 -0.701369712048735 native-country=Greece 1.000663106226115 -0.8352344859005689 native-country=South 0.725078513949186 0.7475282710783981 native-country=China -2.070617071689391 0.2541581921558428 native-country=Cuba 0.5246017775191204 0.49428938251436255 native-country=Iran -0.2643825176271659 -0.29486462651651313 native-country=Honduras -0.39932781079194607 0.597058440077078 native-country=Philippines -0.4700688430891174 0.1875346025045433 native-country=Italy -1.0172672628267547 0.9372566015043279 native-country=Poland -0.8489845007834602 -0.269646164540684 native-country=Jamaica -0.9209340543126037 -0.5609503360595192 native-country=Vietnam 1.2039289041066998 0.6139430795936625 native-country=Mexico -1.4171500782189344 -0.217115443335836 native-country=Portugal 0.09376699523844992 0.18779288130073765 native-country=Ireland -0.4591466626753368 0.8070434817242347 native-country=France -1.023687510042714 0.6882382087493756 native-country=Dominican-Republic -1.0784351761419715 -0.4093362064762341 native-country=Laos -0.8406879380325686 0.08314537580771157 native-country=Ecuador 0.6611987045936718 0.7709636135755946 native-country=Taiwan -1.0605380286650656 0.32689659986816905 native-country=Haiti -0.6245734372982296 0.32695385309524705 native-country=Columbia -0.9007377287343104 -0.3024694568466399 native-country=Hungary -0.7366924381046047 0.7261472925835797 native-country=Guatemala -1.0283978202853248 -0.863722937385774 native-country=Nicaragua -0.1945070840094248 -0.23550951790477812 native-country=Scotland -0.5093133732171157 0.446697658553423 native-country=Thailand -0.46100151146195617 0.012229043075077967 native-country=Yugoslavia -0.30191983385564064 0.3570235058125684 native-country=El-Salvador -1.0430621349442395 -0.2221402109234665 native-country=Trinadad&Tobago 0.9107636242382571 -0.7039494511870639 native-country=Peru -0.961454974391073 0.6575960279309274 native-country=Hong 0.4423983070282356 -0.5430479897450886 native-country=Holand-Netherlands Hidden Weights: 5.865365001493215 -5.860504908902846 -1.9677820083011002 1.9533230119117135 >50K <=50K Options: -I 2000 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 2000 -E 0.01 -S 1625925991 -H 2 -M 0.01 Input Weights: 0.8991337757824552 0.0836432119700433 age -0.3522620157582578 1.2368093619402456 workclass=Private -1.3335225278177134 0.31772329493754675 workclass=Self-emp-not-inc 0.09471724021589199 -0.5423723394422689 workclass=Self-emp-inc 1.0302105147442655 0.44850158475909113 workclass=Federal-gov -0.17076806485431265 1.500075109931574 workclass=Local-gov -0.5844887050240286 0.37310267338003844 workclass=State-gov 0.47220155923258295 0.9956619321413387 workclass=Without-pay -0.7822814148941517 0.7056272807304553 workclass=Never-worked 0.2882318376628002 -0.2514558171381358 fnlwgt -0.46170354153440185 0.5361312492069796 education=Bachelors -0.5142792120471741 -0.28784614644275597 education=Some-college -2.2611587485736715 1.346401770897874 education=11th -0.7053238149341454 -0.5027076428777786 education=HS-grad 2.1384449241776338 -1.7034476054661456 education=Prof-school -0.4694198627520027 1.4354576752829458 education=Assoc-acdm 0.3692677573041826 0.5443920555318229 education=Assoc-voc -1.5680716239669779 0.6881580154639614 education=9th 0.7760425210843233 -0.5808337651877353 education=7th-8th 0.9850559677856341 -1.7043678942809302 education=12th -0.950439965805141 1.481398148254504 education=Masters -1.0574759076375277 -0.15315918384979416 education=1st-4th -1.3945838506930879 0.9204211443865123 education=10th 1.455204452437536 0.6626555032284435 education=Doctorate -1.402353230924735 0.24392440264213272 education=5th-6th -0.9715336343622212 -0.599885890702547 education=Preschool 2.800945693769317 0.40186671636211574 education-num 1.43254785902088 -0.09880843870343645 marital-status=Married-civ-spouse -0.2862950045220954 -0.5408881083711826 marital-status=Divorced -0.8297180635908762 -0.12404151291696199 marital-status=Never-married -0.8824984491705783 0.7513582097241294 marital-status=Separated -1.610018178835789 1.24739767528132 marital-status=Widowed -0.758192299223566 -0.38329639924668435 marital-status=Married-spouse-absent 0.18171722383179514 -0.5320437366019839 marital-status=Married-AF-spouse -0.08745054495310398 -0.15118483268878355 occupation=Tech-support -0.26598096616914657 -1.1333836943014857 occupation=Craft-repair 0.05845167563932214 0.4109266586524677 occupation=Other-service -0.20987804914776503 0.28946061794205874 occupation=Sales 0.9985652743167256 0.0825502395279812 occupation=Exec-managerial -0.48389754711923344 -1.869765559681717 occupation=Prof-specialty -1.7695061070072693 -0.5643830282861546 occupation=Handlers-cleaners 0.02570920994235767 -0.4853698876454007 occupation=Machine-op-inspct -0.06102295654663346 0.7969699759680714 occupation=Adm-clerical -0.28941911982314716 -0.9403811566015142 occupation=Farming-fishing -2.090180113080427 -0.5089136497030742 occupation=Transport-moving 0.8479280183930387 0.29993599955612116 occupation=Priv-house-serv 0.8995866635017121 0.1622850143507145 occupation=Protective-serv 0.28730036676149306 0.944109092008155 occupation=Armed-Forces -0.0814348538441273 -1.5028411995099544 relationship=Wife -1.6053664912101768 0.2755691426915025 relationship=Own-child 0.7286678230206071 0.45615121606159964 relationship=Husband 0.3884789952717326 -0.36765750829830096 relationship=Not-in-family 0.3767993798706981 0.008497821124081142 relationship=Other-relative -1.2590866052893372 -0.2956440251125252 relationship=Unmarried 0.2523033906121675 -0.5913078153723255 race=White 0.5680774702852742 -0.09996839101224425 race=Asian-Pac-Islander -0.5658146588581213 -0.37956377112890277 race=Amer-Indian-Eskimo -1.3164562197288885 1.1660732234045912 race=Other 0.20413159970000266 -0.21860513823581176 race=Black -0.1998419087956048 0.692050337488811 sex 0.7410059926018396 0.44723038681073274 capital-gain 3.133751205272774 -0.009235661386861249 capital-loss 0.8039687857883967 0.5643683763214974 hours-per-week -0.033731328978988 0.4292407882600138 native-country=United-States 1.683624029157749 -1.0346746565993143 native-country=Cambodia 0.07298548679341364 0.6675137285161662 native-country=England -1.6895877314159917 0.4786342885896973 native-country=Puerto-Rico 1.3498138794179073 -0.6690618107191776 native-country=Canada 0.06747282524587536 -0.37913486418591147 native-country=Germany -0.49250341754881194 0.9936117186313411 native-country=Outlying-US(Guam-USVI-etc) 1.2503765417586583 -0.5412886677274387 native-country=India 0.2894012583397833 -0.733485116861238 native-country=Japan 0.18643385158732126 -0.6998640732326724 native-country=Greece 1.0261645554007703 -0.8418368583689153 native-country=South 0.723566605893033 0.7490339098944607 native-country=China -2.103326254899878 0.27581181125729537 native-country=Cuba 0.5367631054667082 0.49307563580549535 native-country=Iran -0.2664660566353232 -0.29316193723534956 native-country=Honduras -0.42948419551571965 0.6015616506860264 native-country=Philippines -0.47157729427126543 0.18898598003403788 native-country=Italy -1.0603716997295893 0.9401486572546576 native-country=Poland -0.8504144027379141 -0.2687163874539984 native-country=Jamaica -0.9224459623687566 -0.5594446972434566 native-country=Vietnam 1.2318433557572872 0.6143321358054148 native-country=Mexico -1.4379851156589316 -0.21200843282094817 native-country=Portugal 0.0922550871822925 0.18929852011679635 native-country=Ireland -0.46057321130123974 0.8084234228150272 native-country=France -1.025133392206478 0.6891090807814685 native-country=Dominican-Republic -1.1018726926073368 -0.3930914799689548 native-country=Laos -0.8836339680106933 0.1045814865277335 native-country=Ecuador 0.6653366346516097 0.7723321705998749 native-country=Taiwan -1.0619963264113013 0.32772387895389765 native-country=Haiti -0.6255043472431809 0.3283601765508559 native-country=Columbia -0.9022496367904633 -0.3009638180305799 native-country=Hungary -0.7382043461607577 0.7276529313996423 native-country=Guatemala -1.029909728341489 -0.8622172985697114 native-country=Nicaragua -0.19601899206558362 -0.23400387908871942 native-country=Scotland -0.4925932304920672 0.4438949151671728 native-country=Thailand -0.46251341951811425 0.013734681891136738 native-country=Yugoslavia -0.3034019485254975 0.35809986152244117 native-country=El-Salvador -1.0445740430004038 -0.2206345721074078 native-country=Trinadad&Tobago 0.9092517161821041 -0.7024438123710013 native-country=Peru -0.962966882447226 0.65910166674699 native-country=Hong 0.44088639897207754 -0.541542350929026 native-country=Holand-Netherlands Hidden Weights: 5.922833883643732 -5.918423917689406 -2.051952661359157 2.0401084267294363 >50K <=50K === Error on training data === Correctly Classified Instances 457 88.7379 % Incorrectly Classified Instances 58 11.2621 % Mean absolute error 0.2263 Root mean squared error 0.2948 Relative absolute error 65.5346 % Root relative squared error 71.0024 % Total Number of Instances 515 === Confusion Matrix === a b <-- classified as 70 44 | a = >50K 14 387 | b = <=50K === Error on test data === Correctly Classified Instances 426 82.7184 % Incorrectly Classified Instances 89 17.2816 % Mean absolute error 0.2663 Root mean squared error 0.3644 Relative absolute error 75.9398 % Root relative squared error 86.4385 % Total Number of Instances 515 === Confusion Matrix === a b <-- classified as 62 57 | a = >50K 32 364 | b = <=50K