Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 3 Number Output Nodes: 2 -I 15000 -E 0.0010 -S -1829840258 -H 3 -M 0.0445 Input Weights: 0.47933565891398766 0.6170968894726905 0.014311072078718512 age -0.715148200671115 -0.7988747364981148 0.09649212439799437 workclass=Private -0.01626410820596469 -0.20511996188367476 0.8713620546656697 workclass=Self-emp-not-inc -0.021207310882862762 0.34106430739815896 0.2346988918657522 workclass=Self-emp-inc 0.7964180102474323 0.28961183927312995 -0.7923927537880238 workclass=Federal-gov -0.47018703250271643 0.1379950690108669 -0.7675067123165393 workclass=Local-gov -0.4640465454217175 0.2301260949731505 -0.3816658663159771 workclass=State-gov -0.0018074390523732387 0.46723085172855683 -0.6034677842059757 workclass=Without-pay -0.5941730005005657 0.7266574807249773 -0.1806498643559844 workclass=Never-worked -0.9960896080988484 -0.010344648130870215 0.26612287347659547 fnlwgt 0.831050640401684 0.4467406281381865 -0.5818511356867142 education=Bachelors -0.9101181879719402 -0.8206569692215637 -0.7786362566343945 education=Some-college -0.7156475358981274 0.4090045281715393 -0.6233960585067395 education=11th 0.8099276325727192 -0.23951886997683203 0.8804701141874649 education=HS-grad -0.5027465743902397 0.5026753562920769 0.4855042230692024 education=Prof-school 0.9867865594231113 0.31140606215944167 -0.14340345674731259 education=Assoc-acdm -0.24865557653766768 -0.25940027440510227 -0.32875800050642545 education=Assoc-voc 0.08548469578542273 0.29356644017189715 -0.05553081216874545 education=9th 0.4450757756015542 0.7536005601979243 -0.5450328223920584 education=7th-8th -0.8526264821894882 -0.7367745666387786 -0.6928600732893466 education=12th -0.36862799011512504 -0.4660210788352044 0.3845196519501961 education=Masters -0.7698503864841304 0.5237148766876938 -0.26682487544139866 education=1st-4th 0.7213846225474563 -0.0640262462472323 0.7594526175862817 education=10th 0.7991681416927701 0.9760536872382151 0.5345915713374976 education=Doctorate 0.049694481909049903 0.9409918600586404 0.46945922632829795 education=5th-6th -0.9846371011891275 -0.5742570894837158 0.15585198745661755 education=Preschool 0.49627746941765527 -0.8045787271463487 0.2665148466398364 education-num -0.6349148258726063 0.10355011413516135 -0.935767715817615 marital-status=Married-civ-spouse -0.13945503918292435 -0.17116018686029255 0.29104799964268846 marital-status=Divorced 0.5771742661119503 0.6580955261194859 -0.008126061431786402 marital-status=Never-married -0.8172278416147851 -0.9395680374855826 0.1724516801828102 marital-status=Separated 0.2725716466790904 0.3780525012851357 0.09983294226735451 marital-status=Widowed 0.7082265773848111 0.6014259073830976 -0.47575155170592875 marital-status=Married-spouse-absent -0.7082080705383187 0.9017745191875062 0.13443854937979105 marital-status=Married-AF-spouse -0.3106906748555791 0.36136369239012134 0.1542208957095399 occupation=Tech-support -0.8544374756909565 0.17216172924166218 0.14627422146977365 occupation=Craft-repair 0.721021311998574 0.4660172788809376 -0.1901791123400023 occupation=Other-service -0.46605535749532345 0.8945791719987413 -0.15790727169366758 occupation=Sales -0.1949325353614102 0.09476197055217228 -0.22083077068708157 occupation=Exec-managerial -0.6207513177231205 -0.744361127381806 0.13997880084116154 occupation=Prof-specialty -0.16208899340283245 -0.8547792975442858 -0.8320411856351069 occupation=Handlers-cleaners -0.6819443392806868 0.16065947033984185 0.9980709820518279 occupation=Machine-op-inspct -0.2819097047270438 -0.7670085249219372 -0.8274262156907477 occupation=Adm-clerical 0.09765770679364416 -0.2523856269987159 -0.9128441811550412 occupation=Farming-fishing -0.23188887041559747 -0.9657301647634056 -0.8302633616952262 occupation=Transport-moving -0.17777007771875097 0.4353819364918565 -0.622553646428256 occupation=Priv-house-serv 0.6662265855254113 -0.5208201968988877 0.9429963437078697 occupation=Protective-serv -0.5059534491496871 0.26411019300828253 -0.7901419267484306 occupation=Armed-Forces -0.4165829894099502 0.8036252513904658 -0.13363012106753946 relationship=Wife 0.795053061750727 0.7855077057534203 -0.0779060676705905 relationship=Own-child -0.27911715471355647 -0.03252607094145432 0.36544949874071153 relationship=Husband 0.5541074906344674 0.26087431073962697 -0.40014819922210587 relationship=Not-in-family -0.05663746982193674 -0.5531125680795308 -0.5237118910746499 relationship=Other-relative 0.8452033145661164 -0.5753167213653365 -0.9765335250896847 relationship=Unmarried -0.29641187803093594 0.9086089400042274 0.822375889852933 race=White 0.16198599672715086 -0.4284723112638227 -0.6197014552669562 race=Asian-Pac-Islander 0.9531911899962684 -0.22597849746203136 -0.1699801147234743 race=Amer-Indian-Eskimo -0.3861239111737307 -0.7757561555862855 0.8131830151628472 race=Other -0.7646286962799365 -0.8192106390895568 -0.49756040842096594 race=Black 0.5891113694460872 0.14102358333114462 -0.6247500399635864 sex 0.6546398762918999 0.34989489679969066 0.5728908151986167 capital-gain 0.8300203549955092 -0.08067113686859151 0.4614296741038997 capital-loss -0.08104854872675182 0.8658832040691724 0.3571302522521298 hours-per-week 0.36583970620159256 0.954419775541901 -0.7130451149441304 native-country=United-States -0.8504647875151408 0.8781276613879734 -0.8744663309443581 native-country=Cambodia -0.751611760660762 0.010310367960199462 -0.5168271068932044 native-country=England -0.3462602869679845 -0.2690719279593954 -0.6848205329942816 native-country=Puerto-Rico -0.4640903670011498 -0.8390371854691647 -0.6190209770072475 native-country=Canada -0.6437980803465913 0.030254732981867427 -0.5977889083342016 native-country=Germany 0.4703967929100419 -0.6404662355701389 0.05218555230750277 native-country=Outlying-US(Guam-USVI-etc) -0.9163452245666144 0.6549501337127601 0.7547897863992996 native-country=India 0.2937101891389431 0.3934850931991234 -0.3208630503083638 native-country=Japan -0.6013156676782885 0.7202013639108276 0.2869509864810047 native-country=Greece 0.6478023086133247 -0.5166291268097685 -0.6771147857300666 native-country=South 0.17775001575066574 -0.9989045182661012 0.23367631596435823 native-country=China 0.004361535670895256 -0.7168856762202633 -0.3397630901891604 native-country=Cuba -0.3712201672471618 -0.17592957000770948 0.8674941405095216 native-country=Iran -0.9308129775603033 0.5395858272586136 0.7599849846486384 native-country=Honduras -0.05634655488049134 0.9340739160211995 0.47692068315329794 native-country=Philippines -0.39339206374823954 -0.830704422657538 -0.5313622393962423 native-country=Italy -0.7191147680726355 -0.6547572618597708 -0.5729453586753845 native-country=Poland 0.6292586906024371 0.010013033990287523 -0.5240429952499372 native-country=Jamaica 0.27382030767692056 -0.31708468274151724 -0.3773625240005496 native-country=Vietnam 0.3985234127461075 0.005125514681903143 -0.3693812661367313 native-country=Mexico -0.2403446329493406 0.02478948437849504 -0.8061076737999571 native-country=Portugal -0.8190380154024135 0.0785483193592238 0.5763081438586872 native-country=Ireland 0.9245978142725717 0.7490385358771716 0.7254532875986119 native-country=France 0.20602967323355226 -0.5420003718476685 0.2785616136978628 native-country=Dominican-Republic -0.43952568207978215 0.39719750300888257 -0.1513015892382299 native-country=Laos 0.7704033284132379 0.7044517495317175 -0.48733143811969404 native-country=Ecuador 0.6281028005139562 -0.940367307787638 -0.4822017080936971 native-country=Taiwan -0.06577316603502337 0.20557167488551564 0.8829451662267198 native-country=Haiti -0.1772609515620598 0.2914066363816563 -0.21020696944277817 native-country=Columbia -0.24541265495479947 -0.6090364546567442 -0.5563074388428413 native-country=Hungary -0.6630885104184661 -0.9336489780555477 -0.5709899024689922 native-country=Guatemala -0.4984636756801728 0.4270254056996643 -0.5078475976609766 native-country=Nicaragua -0.4840443032152213 -0.22283989556294181 0.15613548530360855 native-country=Scotland 0.8019662087200623 0.6492322999170776 0.6037718019607206 native-country=Thailand 0.6015620601684308 0.7893172519251745 0.8622504606686823 native-country=Yugoslavia 0.15665664531674506 0.48965931985637545 0.48009024138383505 native-country=El-Salvador -0.741351768864313 0.5566668756399888 -0.3918529482951243 native-country=Trinadad&Tobago -0.22419835049409453 0.15755569313951834 0.6795613734004675 native-country=Peru -0.9191304721936218 0.8064444318822146 -0.27076599218765884 native-country=Hong 0.17833125152063056 0.8307835962994072 -0.19837849871527458 native-country=Holand-Netherlands Hidden Weights: -0.10081148896085868 0.5003390589677161 -0.8056818911989858 0.8822009261019736 -0.8119337034917644 0.2427699964168486 >50K <=50K Error sum for iteration 100 = 4637.25656822366 Error sum for iteration 200 = 4702.5272729775725 Error sum for iteration 300 = 4695.193069722998 Error sum for iteration 400 = 4694.95760701531 Error sum for iteration 500 = 4702.845481244174 Error sum for iteration 600 = 4714.752484143777 Error sum for iteration 700 = 4729.521929889852 Error sum for iteration 800 = 4747.38895196568 Error sum for iteration 900 = 4769.312459335698 Error sum for iteration 1000 = 4796.515301815437 Error sum for iteration 1100 = 4829.152010366391 Error sum for iteration 1200 = 4864.483712216455 Error sum for iteration 1300 = 4898.105885511519 Error sum for iteration 1400 = 4928.127217037421 Error sum for iteration 1500 = 4955.709115938593 Error sum for iteration 1600 = 4982.593731994495 Error sum for iteration 1700 = 5009.876604521505 Error sum for iteration 1800 = 5037.9404478816205 Error sum for iteration 1900 = 5066.6767022964805 Error sum for iteration 2000 = 5095.70413677673 Error sum for iteration 2100 = 5124.550795740613 Error sum for iteration 2200 = 5152.773140594671 Error sum for iteration 2300 = 5180.011398991694 Error sum for iteration 2400 = 5206.005826413538 Error sum for iteration 2500 = 5230.560847186471 Error sum for iteration 2600 = 5253.529420083098 Error sum for iteration 2700 = 5274.809507879776 Error sum for iteration 2800 = 5294.321375219019 Error sum for iteration 2900 = 5312.00245197662 Error sum for iteration 3000 = 5327.857559682958 Error sum for iteration 3100 = 5341.9384072817065 Error sum for iteration 3200 = 5354.343812641243 Error sum for iteration 3300 = 5365.218241703584 Error sum for iteration 3400 = 5374.728145870165 Error sum for iteration 3500 = 5383.05153142299 Error sum for iteration 3600 = 5390.377299077123 Error sum for iteration 3700 = 5396.879128986899 Error sum for iteration 3800 = 5402.7235408171155 Error sum for iteration 3900 = 5408.058709936454 Error sum for iteration 4000 = 5413.023976286312 Error sum for iteration 4100 = 5417.746624483295 Error sum for iteration 4200 = 5422.347591223877 Error sum for iteration 4300 = 5426.931170995298 Error sum for iteration 4400 = 5431.602919635165 Error sum for iteration 4500 = 5436.459840132223 Error sum for iteration 4600 = 5441.599459053968 Error sum for iteration 4700 = 5447.112000935062 Error sum for iteration 4800 = 5453.070619528024 Error sum for iteration 4900 = 5459.526707110669 Error sum for iteration 5000 = 5466.498537341719 Error sum for iteration 5100 = 5473.9580543658685 Error sum for iteration 5200 = 5481.8149393554195 Error sum for iteration 5300 = 5489.914913614346 Error sum for iteration 5400 = 5498.043163626163 Error sum for iteration 5500 = 5505.9300049420635 Error sum for iteration 5600 = 5513.298847564977 Error sum for iteration 5700 = 5519.8980174363805 Error sum for iteration 5800 = 5525.517947708653 Error sum for iteration 5900 = 5530.016138896095 Error sum for iteration 6000 = 5533.320312139581 Error sum for iteration 6100 = 5535.415960871885 Error sum for iteration 6200 = 5536.318631597458 Error sum for iteration 6300 = 5536.085195087106 Error sum for iteration 6400 = 5534.7859892335255 Error sum for iteration 6500 = 5532.50203783507 Error sum for iteration 6600 = 5529.325585202835 Error sum for iteration 6700 = 5525.33871913941 Error sum for iteration 6800 = 5520.651402621329 Error sum for iteration 6900 = 5515.360661363576 Error sum for iteration 7000 = 5509.546965522595 Error sum for iteration 7100 = 5503.3278307037945 Error sum for iteration 7200 = 5496.822384008009 Error sum for iteration 7300 = 5490.127835388088 Error sum for iteration 7400 = 5483.312890136427 Error sum for iteration 7500 = 5476.451370295241 Error sum for iteration 7600 = 5469.589493018047 Error sum for iteration 7700 = 5462.767925843176 Error sum for iteration 7800 = 5455.999348288217 Error sum for iteration 7900 = 5449.284691133559 Error sum for iteration 8000 = 5442.625949958687 Error sum for iteration 8100 = 5436.023319447343 Error sum for iteration 8200 = 5429.469059208469 Error sum for iteration 8300 = 5422.9729398227155 Error sum for iteration 8400 = 5416.540037817041 Error sum for iteration 8500 = 5410.183324316859 Error sum for iteration 8600 = 5403.924547867947 Error sum for iteration 8700 = 5397.786218902638 Error sum for iteration 8800 = 5391.779712091895 Error sum for iteration 8900 = 5385.926815624408 Error sum for iteration 9000 = 5380.242566862583 Error sum for iteration 9100 = 5374.746377521455 Error sum for iteration 9200 = 5369.456766264966 Error sum for iteration 9300 = 5364.380930204229 Error sum for iteration 9400 = 5359.53022586533 Error sum for iteration 9500 = 5354.901452839487 Error sum for iteration 9600 = 5350.500023169422 Error sum for iteration 9700 = 5346.326520302678 Error sum for iteration 9800 = 5342.380356454374 Error sum for iteration 9900 = 5338.650244475699 Error sum for iteration 10000 = 5335.126382362223 Error sum for iteration 10100 = 5331.806027800915 Error sum for iteration 10200 = 5328.679720396002 Error sum for iteration 10300 = 5325.738244298982 Error sum for iteration 10400 = 5322.968662888309 Error sum for iteration 10500 = 5320.3575117146465 Error sum for iteration 10600 = 5317.896453292029 Error sum for iteration 10700 = 5315.576695845854 Error sum for iteration 10800 = 5313.3890971186065 Error sum for iteration 10900 = 5311.325604788372 Error sum for iteration 11000 = 5309.375519435159 Error sum for iteration 11100 = 5307.528317880837 Error sum for iteration 11200 = 5305.780550573813 Error sum for iteration 11300 = 5304.1249860890575 Error sum for iteration 11400 = 5302.549443484778 Error sum for iteration 11500 = 5301.043723881878 Error sum for iteration 11600 = 5299.603236703641 Error sum for iteration 11700 = 5298.220372497179 Error sum for iteration 11800 = 5296.88922352189 Error sum for iteration 11900 = 5295.605739431478 Error sum for iteration 12000 = 5294.363403692047 Error sum for iteration 12100 = 5293.159219590363 Error sum for iteration 12200 = 5291.988972599231 Error sum for iteration 12300 = 5290.848789432195 Error sum for iteration 12400 = 5289.73685824767 Error sum for iteration 12500 = 5288.650526461318 Error sum for iteration 12600 = 5287.590994075814 Error sum for iteration 12700 = 5286.557138381396 Error sum for iteration 12800 = 5285.549655183025 Error sum for iteration 12900 = 5284.567053005995 Error sum for iteration 13000 = 5283.609540663199 Error sum for iteration 13100 = 5282.679508930296 Error sum for iteration 13200 = 5281.776699932232 Error sum for iteration 13300 = 5280.901694251249 Error sum for iteration 13400 = 5280.054221188507 Error sum for iteration 13500 = 5279.2348990916435 Error sum for iteration 13600 = 5278.443871995916 Error sum for iteration 13700 = 5277.680797399056 Error sum for iteration 13800 = 5276.94537485976 Error sum for iteration 13900 = 5276.237146286045 Error sum for iteration 14000 = 5275.556388652292 Error sum for iteration 14100 = 5274.900805527868 Error sum for iteration 14200 = 5274.269707656229 Error sum for iteration 14300 = 5273.660677113671 Error sum for iteration 14400 = 5273.072637223309 Error sum for iteration 14500 = 5272.503618023636 Error sum for iteration 14600 = 5271.953117178879 Error sum for iteration 14700 = 5271.420157692157 Error sum for iteration 14800 = 5270.904092639536 Error sum for iteration 14900 = 5270.40308189258 Error sum for iteration 15000 = 5269.915812788708 Options: -I 15000 -H 3 -E 0.001 -M 0.0445 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 3 Number Output Nodes: 2 -I 15000 -E 0.0010 -S -1829840258 -H 3 -M 0.0445 Input Weights: -3.414442611793489 -7.6761847575434645 9.473743469852156 age -0.648049767775226 2.2568309750086524 0.38890552230171355 workclass=Private 0.9190658503977528 -2.6278100587493887 -1.2343996889789526 workclass=Self-emp-not-inc -0.05626426727092268 -0.40218817284698494 -1.3864862141096101 workclass=Self-emp-inc -0.6746694950558498 1.772324279701113 -0.8081644454124151 workclass=Federal-gov 0.030382874376911777 -0.17290087883008518 -0.2553555458753083 workclass=Local-gov 0.23510018827015225 0.8732941816135331 -0.7140008586569242 workclass=State-gov 1.9363432431537693 1.001691182900332 -0.2614476034392355 workclass=Without-pay 0.6373628390205841 1.1201141128556245 -0.10051823358408295 workclass=Never-worked -1.329766978319429 -0.7688535382138482 1.7230448971904102 fnlwgt 0.01801446215593643 -0.6077106268889434 -0.11294536407701522 education=Bachelors 0.2566597163489806 -0.6315262311545958 -0.3042364941364983 education=Some-college 1.2042332094147987 -0.9579667855549185 -0.2861714516094555 education=11th 0.24058175570127285 -0.020858275853841556 0.008896814356137487 education=HS-grad -1.1231781408958514 0.8758915151338676 1.0382098500763584 education=Prof-school 0.4423398326255637 0.4121099756169064 -0.7583173338925411 education=Assoc-acdm -0.07156545340478315 0.39768719754821363 0.26639696424213455 education=Assoc-voc 0.9001177404315687 1.2594091388408044 -0.8539957705622154 education=9th 1.1003125661613036 1.9652877254108159 -1.0492093388926673 education=7th-8th 0.8629068606874952 -0.8431047221557669 -0.6512592317636485 education=12th -0.43300780278068995 1.289913427338211 0.10276006665248942 education=Masters 0.34069312766654497 1.000769312700664 -0.8140303851811768 education=1st-4th 0.7927964233450201 0.1286299052381456 -0.6120257615748035 education=10th -0.9422171832568347 0.8535635330819435 -0.2445127992926945 education=Doctorate 0.6772151238076572 0.9319483229263008 -0.7633611325779665 education=5th-6th 0.9082911153114288 -0.10794749253258397 0.41485153222962273 education=Preschool -2.4819081021851086 -0.3208906480030727 0.696301484165512 education-num -0.6142159202372711 -3.1201381521714486 0.9166078823226411 marital-status=Married-civ-spouse 0.8415906151155192 2.153202068015769 -0.6644456388341696 marital-status=Divorced 1.032204885951218 0.8400514788386101 -0.6738804797885157 marital-status=Never-married 0.7942883811146472 1.8672335121387669 -0.5437454778583551 marital-status=Separated 1.2206073066358134 0.5341945547456768 -1.8721897040460536 marital-status=Widowed 1.2671713778025113 0.32859359757673023 -0.9684305972883435 marital-status=Married-spouse-absent -1.6593982845623896 1.3971564192383856 0.41389377266507266 marital-status=Married-AF-spouse -0.2607531227980058 -0.9865127174936719 -1.7200165260962041 occupation=Tech-support -0.004763195956736103 -0.09123522916364032 -0.5334051096551065 occupation=Craft-repair 0.24731630693795842 1.5704561517258357 0.34698232805814055 occupation=Other-service -0.6763234098911576 0.5993831238834092 0.3390173712024413 occupation=Sales -0.7065419288025538 -0.5155850500484611 -0.5152762463220806 occupation=Exec-managerial -0.3039103863856904 -0.6989492264403431 -0.18649678360843797 occupation=Prof-specialty 0.7760443083520611 0.8186192279630905 -1.652035199451221 occupation=Handlers-cleaners 0.26492458115338297 -0.32506537636277416 -0.1552675090562734 occupation=Machine-op-inspct -0.13824444158757945 -0.7162967163606044 -0.012468330651316265 occupation=Adm-clerical 0.8443480198874664 0.7310697454005011 -0.15585520247129725 occupation=Farming-fishing 0.6429837272253147 -0.9804579857304918 -1.3488377266923173 occupation=Transport-moving 2.176738769392285 1.075816370578358 -1.1890067946353196 occupation=Priv-house-serv -1.0643091256234196 1.310355109381397 0.8309890801413576 occupation=Protective-serv 0.5142924582365825 0.5722670078293315 -0.9674333708918912 occupation=Armed-Forces -0.28716480728447075 -0.6492576923206385 -0.14489235026737682 relationship=Wife 1.4930427551128997 0.8753833809808422 -1.9608456518818658 relationship=Own-child 1.0967356327410192 0.7550796179801753 -1.175967419664987 relationship=Husband 0.29854024246696637 2.205298295080186 -0.22089254555761975 relationship=Not-in-family 1.6443898420303749 -0.05636760307382479 -0.7446843744074927 relationship=Other-relative 0.5789587935371844 -0.13750249884206736 0.00850702340998328 relationship=Unmarried 0.3094417215244245 -0.2523351619084545 0.03032365285189856 race=White 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native-country=Holand-Netherlands Hidden Weights: -4.410581979791007 4.410581979791001 -1.2200327588681457 1.220032758868148 -3.2932936350733377 3.2932936350733377 >50K <=50K === Error on training data === Correctly Classified Instances 27596 84.7517 % Incorrectly Classified Instances 4965 15.2483 % Mean absolute error 0.2676 Root mean squared error 0.3337 Relative absolute error 73.1771 % Root relative squared error 78.0472 % Total Number of Instances 32561 === Confusion Matrix === a b <-- classified as 4526 3315 | a = >50K 1650 23070 | b = <=50K === Error on test data === Correctly Classified Instances 13711 84.2147 % Incorrectly Classified Instances 2570 15.7853 % Mean absolute error 0.2694 Root mean squared error 0.3369 Relative absolute error 74.151 % Root relative squared error 79.3095 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 2166 1680 | a = >50K 890 11545 | b = <=50K