Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 6000 -E 0.0112 -S 1788414564 -H 2 -M 0.0445 Input Weights: 0.06394897732886107 -0.9569251401769667 age -0.5854545892637408 0.7341978224453647 workclass=Private 0.28147664233275416 0.7099202810005598 workclass=Self-emp-not-inc -0.7611559728253388 -0.9673193478140287 workclass=Self-emp-inc 0.7613415402290038 0.377104007801053 workclass=Federal-gov 0.20372262150520593 0.5142833879463466 workclass=Local-gov 0.942825558017643 0.6259448674392323 workclass=State-gov 0.4322026342023486 -0.577798373305437 workclass=Without-pay 0.7200197009717042 -0.12203646636580334 workclass=Never-worked -0.6719742290684916 0.1998826800904796 fnlwgt -0.5758783628962341 0.37863233295068244 education=Bachelors 0.8503225103633791 -0.6384220462724013 education=Some-college -0.8185775177285262 -0.9206667108578521 education=11th 0.6914789022141605 -0.4262094053798293 education=HS-grad -0.6572346217679836 0.6795878191900964 education=Prof-school 0.3226806217319751 -0.715928256513104 education=Assoc-acdm 0.3883965439338033 0.2780917005283645 education=Assoc-voc 0.9927756800220751 0.1314539886502759 education=9th 0.31711790098278536 -0.6256298081595977 education=7th-8th 0.359305409685595 0.27296553964927184 education=12th 0.5793165393402717 -0.010085093544430324 education=Masters -0.3459893105072118 0.27446876260916 education=1st-4th -0.9976297942184564 0.1591774187919115 education=10th -0.10921952869158358 0.29659492603923243 education=Doctorate -0.3795632487404619 -0.7087700052243782 education=5th-6th -0.5424272358843751 -0.2433723637818106 education=Preschool 0.9388072893380741 0.33046242722025054 education-num 0.9347639490683759 0.6073999251414839 marital-status=Married-civ-spouse -0.14033531571479796 -0.7486803552944505 marital-status=Divorced -0.3161357639265079 0.8309428856766159 marital-status=Never-married -0.4611770492715408 -0.6964976073778644 marital-status=Separated -0.22046139895511363 -0.9721656710907176 marital-status=Widowed -0.0568487307943113 0.2697013358226181 marital-status=Married-spouse-absent -0.5649118829472122 -0.7332268885565512 marital-status=Married-AF-spouse -0.709007644771527 -0.4089777586121899 occupation=Tech-support 0.011435785965604905 -0.839574396042688 occupation=Craft-repair 0.18179419571927657 -0.06726459353846548 occupation=Other-service 0.91042208678793 -0.18561456629151185 occupation=Sales -0.3010360527681133 0.07555166898092702 occupation=Exec-managerial -0.36319508848536874 -0.4387693056347426 occupation=Prof-specialty 0.5879549852581856 0.9897409494259279 occupation=Handlers-cleaners 0.6654784696503766 -0.21001250493498724 occupation=Machine-op-inspct 0.5998854410727463 -0.26072643758749625 occupation=Adm-clerical -0.3394722468382221 0.6053866940998767 occupation=Farming-fishing 0.923393288209921 -0.7772697069762375 occupation=Transport-moving -0.6559748109960577 -0.7625323851377193 occupation=Priv-house-serv 0.3215308759563813 0.532698073656519 occupation=Protective-serv -0.21809494982047606 -0.8495916616385577 occupation=Armed-Forces 0.007624821021663619 0.3451972059783448 relationship=Wife -0.9874776207186762 0.5937835262040083 relationship=Own-child -0.36075054712674404 0.7685773658786217 relationship=Husband 0.35507178982829446 0.16733689680044272 relationship=Not-in-family -0.8683875322463066 -0.3857744409113131 relationship=Other-relative 0.058107363559056324 0.9431438512434251 relationship=Unmarried 0.6833103189857344 -0.6799486475347329 race=White 0.43492441105330215 0.2617988912532103 race=Asian-Pac-Islander -0.29509628476147376 -0.4234893768252108 race=Amer-Indian-Eskimo 0.6282375168544727 -0.2091702230539092 race=Other 0.8241691086219609 -0.017904522501629216 race=Black -0.4091279130182395 0.44648593084109556 sex 0.23502998296426392 0.29271515107629686 capital-gain 0.7952804239730527 0.8207067156042906 capital-loss -0.8723622392591188 0.6229174339167378 hours-per-week 0.21955247961954427 0.6535195434203955 native-country=United-States 0.3961871409356603 0.49590895385922296 native-country=Cambodia -0.9780825231875538 -0.6788202158971706 native-country=England -0.7761108944161486 -0.7929702877562494 native-country=Puerto-Rico -0.6760199505670754 0.28961930042432327 native-country=Canada 0.28991922669113834 -0.5613295161570906 native-country=Germany 0.08330630202169798 -0.12745029677913378 native-country=Outlying-US(Guam-USVI-etc) -0.6263163096836253 0.41430171687212547 native-country=India 0.15042327945210388 -0.36105610547697986 native-country=Japan -0.9662694037131359 -0.3302446663297822 native-country=Greece -0.6304756323531377 -0.515571932624588 native-country=South 0.14215741694052486 0.40937376606181153 native-country=China 0.6856354421024726 0.10792957354460198 native-country=Cuba 0.5342552349814547 0.6550664953492178 native-country=Iran 0.4468951082040622 -0.34492409399385116 native-country=Honduras 0.40496317007723004 -0.6666061523106719 native-country=Philippines -0.18410876908732132 -0.8165974113080328 native-country=Italy -0.29018545072364677 0.01898730501844259 native-country=Poland 0.8993759810781519 0.7952303447457676 native-country=Jamaica -0.5864889583424764 -0.7048848355208612 native-country=Vietnam 0.9356106655190108 0.5396956863376081 native-country=Mexico -0.4771018469964974 -0.7690319040568241 native-country=Portugal -0.1987346489249251 0.1171892328583739 native-country=Ireland 0.3355070474712387 0.030971428996266814 native-country=France 0.9671784614952963 0.9824514320472437 native-country=Dominican-Republic -0.033694351719561366 -0.20141563743402768 native-country=Laos 0.6900639613120216 -0.5643744982106265 native-country=Ecuador -0.9360586697266255 0.9838249374798538 native-country=Taiwan 0.1148960664394647 -0.14375087908559525 native-country=Haiti 0.6173906509315163 0.45211297732169453 native-country=Columbia 0.6134045138188369 0.3598065264251875 native-country=Hungary -0.8478688234792344 -0.6823400989316459 native-country=Guatemala 0.2248320586285253 -0.8298557804500948 native-country=Nicaragua 0.5330500975074517 -0.5829990126255071 native-country=Scotland 0.7165410423629155 -0.9224029719338043 native-country=Thailand -0.5156229997645063 0.34057254848039764 native-country=Yugoslavia -0.6413367566916157 0.009663069824877413 native-country=El-Salvador -0.8961925872698662 0.6694294656970554 native-country=Trinadad&Tobago 0.9169675978423371 -0.660172645607656 native-country=Peru -0.26875774191720403 -0.04901308287978745 native-country=Hong -0.8865716077100392 0.8057481910977078 native-country=Holand-Netherlands Hidden Weights: 0.4803148626412872 0.3493108663364197 -0.23457811102490989 0.052103642477259404 >50K <=50K Error sum for iteration 100 = 728.809692818818 Error sum for iteration 200 = 742.181867453327 Error sum for iteration 300 = 747.538795748706 Error sum for iteration 400 = 755.0298964417495 Error sum for iteration 500 = 765.9758534180057 Error sum for iteration 600 = 774.9424228536351 Error sum for iteration 700 = 781.0015290884276 Error sum for iteration 800 = 786.9899994332775 Error sum for iteration 900 = 790.7251222521592 Error sum for iteration 1000 = 791.2785595270259 Error sum for iteration 1100 = 789.4480365630699 Error sum for iteration 1200 = 785.8706511662403 Error sum for iteration 1300 = 781.0448021457207 Error sum for iteration 1400 = 775.6182687079067 Error sum for iteration 1500 = 770.1552808069116 Error sum for iteration 1600 = 765.0097482807386 Error sum for iteration 1700 = 760.3469442433882 Error sum for iteration 1800 = 756.233003508745 Error sum for iteration 1900 = 752.6621642419711 Error sum for iteration 2000 = 749.6065878632277 Error sum for iteration 2100 = 747.0286661597434 Error sum for iteration 2200 = 744.8964393373616 Error sum for iteration 2300 = 743.1683997586706 Error sum for iteration 2400 = 741.7929470887532 Error sum for iteration 2500 = 740.7297994864728 Error sum for iteration 2600 = 739.928921683008 Error sum for iteration 2700 = 739.3076896524265 Error sum for iteration 2800 = 738.756443895763 Error sum for iteration 2900 = 738.1850475881434 Error sum for iteration 3000 = 737.5295625604181 Error sum for iteration 3100 = 736.7660052209924 Error sum for iteration 3200 = 735.9035132559874 Error sum for iteration 3300 = 734.9433568515283 Error sum for iteration 3400 = 733.8990017171568 Error sum for iteration 3500 = 732.7881866780317 Error sum for iteration 3600 = 731.6325608623207 Error sum for iteration 3700 = 730.4522695237122 Error sum for iteration 3800 = 729.2646585835779 Error sum for iteration 3900 = 728.0829722328135 Error sum for iteration 4000 = 726.9200726800101 Error sum for iteration 4100 = 725.7848580414659 Error sum for iteration 4200 = 724.6826171859041 Error sum for iteration 4300 = 723.6163235127259 Error sum for iteration 4400 = 722.5878113793857 Error sum for iteration 4500 = 721.597066546855 Error sum for iteration 4600 = 720.645449647441 Error sum for iteration 4700 = 719.7294590408977 Error sum for iteration 4800 = 718.8460406855671 Error sum for iteration 4900 = 717.9932187166252 Error sum for iteration 5000 = 717.1676283443135 Error sum for iteration 5100 = 716.3662064644741 Error sum for iteration 5200 = 715.5857386603632 Error sum for iteration 5300 = 714.8236609440064 Error sum for iteration 5400 = 714.077066449311 Error sum for iteration 5500 = 713.3437716937265 Error sum for iteration 5600 = 712.6214981884239 Error sum for iteration 5700 = 711.9080786853162 Error sum for iteration 5800 = 711.2024777450366 Error sum for iteration 5900 = 710.5047400544927 Error sum for iteration 6000 = 709.8144756340874 Options: -I 6000 -H 2 -E 0.0112 -M 0.0445 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 6000 -E 0.0112 -S 1788414564 -H 2 -M 0.0445 Input Weights: 1.5577994841697838 -1.4418990690938376 age -0.5562759030822412 0.7900698690986533 workclass=Private -0.3676100042212433 1.6673837228403472 workclass=Self-emp-not-inc -0.15800151161285436 0.20526466400547225 workclass=Self-emp-inc 3.871565964824538 0.6737277958412013 workclass=Federal-gov -0.342244947781222 1.2964933609590419 workclass=Local-gov 0.41366241632165585 1.1696851257532705 workclass=State-gov 0.5622127970738773 -0.1896984978485743 workclass=Without-pay 0.8632430594597631 0.15773642664326853 workclass=Never-worked 1.828194537003007 0.43418253469172874 fnlwgt 0.20800411612827535 0.020115550825728908 education=Bachelors 1.186700433362196 0.6430236797857685 education=Some-college 2.151856385732148 1.2304025949960493 education=11th -0.052656593522801 0.11492503251658222 education=HS-grad -0.2037912883562625 -0.9035255194739751 education=Prof-school -0.24779863438161626 -0.1183959550914453 education=Assoc-acdm 1.352795183530025 0.5368116831448306 education=Assoc-voc 3.504682045381343 1.2621373968646685 education=9th 1.033983402567099 0.4939233639673326 education=7th-8th 2.9259025361922903 2.9407381416257765 education=12th -0.7214448671888979 -0.3922912146676846 education=Masters -0.0012566427201481608 3.021553528420958 education=1st-4th -3.8151848244848807 -1.5198291708602003 education=10th -1.2479203540255617 -1.8111118493703806 education=Doctorate -2.065997871808743 -1.4482615467263995 education=5th-6th -0.49563793484571406 0.8262225149382306 education=Preschool 0.7446402597485889 -2.544486695713148 education-num 2.6039245063190757 -2.0209931178662157 marital-status=Married-civ-spouse -2.4201535001803567 -0.0011696415876168834 marital-status=Divorced -0.4181650132345399 1.0622269291883013 marital-status=Never-married -1.8559137218586597 -0.11121105758397465 marital-status=Separated 2.2928160986911155 0.5012690399953306 marital-status=Widowed 1.6361922825530817 2.8149258289696477 marital-status=Married-spouse-absent -0.5154564675052244 0.5090190383430713 marital-status=Married-AF-spouse 0.17479425133175636 -0.624801953315932 occupation=Tech-support -0.704762500176512 -0.2507615242661028 occupation=Craft-repair 0.07373340832476655 0.553630155656767 occupation=Other-service -0.317301048161601 -0.18780724008386562 occupation=Sales 0.6264008830766011 -0.6461119996989446 occupation=Exec-managerial 0.4510063730099052 -0.1500388328249739 occupation=Prof-specialty 3.339918331578058 1.188850691251527 occupation=Handlers-cleaners 0.0038890906076099936 0.42499098008527686 occupation=Machine-op-inspct -0.14252405474051294 0.30144013234515576 occupation=Adm-clerical 0.12786308138504945 1.5063628361556964 occupation=Farming-fishing 1.7612096289268284 0.6578326877445909 occupation=Transport-moving -0.284314844000629 0.7031610271532793 occupation=Priv-house-serv -0.2109507041260619 -0.4345548713099852 occupation=Protective-serv -0.13293367535383224 0.5158556270759524 occupation=Armed-Forces -4.891346386925246 -0.8740360300958255 relationship=Wife 2.07800908900333 1.8827066377152195 relationship=Own-child -2.1818712978209858 1.4029841531677425 relationship=Husband 0.24267484417563367 0.41007751420060995 relationship=Not-in-family 3.1003837207856475 2.0282215737523743 relationship=Other-relative 1.8614653239345742 1.49913105858049 relationship=Unmarried 0.4772456741825599 -0.6905941595911178 race=White -1.2562385664016305 -1.908097625911083 race=Asian-Pac-Islander 0.5185914952036892 0.5438545109245896 race=Amer-Indian-Eskimo 2.493244455860276 4.9173649628078255 race=Other 1.9046056722565665 -0.2941939577724978 race=Black 0.37871902045563094 -0.1732962954559495 sex 3.1243289895359547 -5.810827774846043 capital-gain 3.5942529641904013 -1.4547337817856336 capital-loss -7.501917664703809 -5.895218938894396 hours-per-week 0.966186241217186 -0.05468144852377581 native-country=United-States 1.0158124710661782 -3.103524247153493 native-country=Cambodia -1.7033483368164208 0.27561023171416904 native-country=England 1.3145009856839933 -0.06697915828929575 native-country=Puerto-Rico -2.3618070676224603 -2.1468257076290076 native-country=Canada -2.0233273493654362 -1.536075113704056 native-country=Germany 0.007358960507156278 0.460522861223687 native-country=Outlying-US(Guam-USVI-etc) -1.5764327897369967 0.8646909962025372 native-country=India 0.9177517413312096 3.7337970712489597 native-country=Japan -1.4645854935010385 0.8370450018492396 native-country=Greece 0.12674268244310757 -0.6517346100386613 native-country=South -1.3125257308693281 0.2140356652233513 native-country=China -1.7284057214004303 0.7382198114983998 native-country=Cuba 1.6409509617473452 -1.7110243740773343 native-country=Iran 1.8214551608638179 1.495410552239741 native-country=Honduras -1.6094934370557796 -1.489318552663817 native-country=Philippines 2.1422595878426995 -1.58477250380676 native-country=Italy -1.6092260071974949 0.6497930383879675 native-country=Poland 1.9813181937770894 -1.1546679744672557 native-country=Jamaica -0.40499458096746616 0.47973791351575157 native-country=Vietnam 0.7457534033034849 0.5673777162984309 native-country=Mexico -0.17311674334354243 -1.0435662678552806 native-country=Portugal 1.9188985466826798 -0.8873674830964019 native-country=Ireland 0.7445368236487974 -0.36425515532476554 native-country=France 2.791949985314449 -0.24735554226743173 native-country=Dominican-Republic -0.20972592834308645 1.0059950510748286 native-country=Laos 0.5538035181587204 0.8429642195735896 native-country=Ecuador 3.885450350020104 1.3245208996700015 native-country=Taiwan -0.5568318446058956 2.4085380502534823 native-country=Haiti 0.22321040078707657 5.145949734731103 native-country=Columbia 0.7566278723068958 0.6395794194339461 native-country=Hungary -0.1471734239664774 -2.366024451551012 native-country=Guatemala -0.003794256046835832 2.02787400951126 native-country=Nicaragua 0.5377569991588295 0.6378923786032007 native-country=Scotland 0.9707438797170729 0.8388833092398534 native-country=Thailand -0.7885202915609766 1.4044256330045266 native-country=Yugoslavia 1.8289972571879478 0.4550688935350172 native-country=El-Salvador -0.9907385730941624 1.4123033096295128 native-country=Trinadad&Tobago -0.9247070954988144 0.2344632342730714 native-country=Peru -0.03990351746252326 0.16241473234759268 native-country=Hong -0.7433482492219803 1.085521084107169 native-country=Holand-Netherlands Hidden Weights: 4.3503237377990205 -4.350323737799031 -4.2060398986750585 4.206039898675062 >50K <=50K === Error on training data === Correctly Classified Instances 4282 85.3838 % Incorrectly Classified Instances 733 14.6162 % Mean absolute error 0.2604 Root mean squared error 0.3284 Relative absolute error 70.5259 % Root relative squared error 76.4317 % Total Number of Instances 5015 === Confusion Matrix === a b <-- classified as 734 491 | a = >50K 242 3548 | b = <=50K === Error on test data === Correctly Classified Instances 13478 82.7836 % Incorrectly Classified Instances 2803 17.2164 % Mean absolute error 0.2739 Root mean squared error 0.3474 Relative absolute error 75.0042 % Root relative squared error 81.7759 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 2112 1734 | a = >50K 1069 11366 | b = <=50K