Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 4 Number Output Nodes: 2 -I 8000 -E 0.0112 -S 1805502473 -H 4 -M 0.0445 Input Weights: -0.9511889882696107 0.8271540848471861 -0.6326017521625518 0.36443299853681976 age 0.881432018672214 -0.8810518376973293 -0.8160474690039299 -0.9682462990359311 workclass=Private 0.37823933773504503 0.21454592616475687 0.10249848641580983 -0.4550071520481589 workclass=Self-emp-not-inc -0.3000674620782884 0.9362500966927871 0.7840243118613375 -0.6101053001182011 workclass=Self-emp-inc -0.6744947026459946 -0.8520435160896402 0.316438539750594 0.21708028670127644 workclass=Federal-gov 0.052862366672454586 -0.7490820985073068 -0.882510667809375 0.39405662491457205 workclass=Local-gov 0.8287678390377426 -0.15932142838439134 0.9327052249662304 0.8902087467906343 workclass=State-gov -0.36820059272918915 -0.08149764082421806 -0.8701045081729648 0.7734299576798371 workclass=Without-pay 0.38109301199165646 0.8742474528454185 0.39685783280111653 0.15214648926524976 workclass=Never-worked -0.9266128442261461 0.6047277342303843 0.37712974670360144 0.4550004130843357 fnlwgt -0.45546217454899596 -0.31892184121029077 -0.9270116517752092 0.8729613462823893 education=Bachelors -0.1760387122041207 0.5590730624819855 0.6307401603677294 0.977519264920091 education=Some-college 0.4720391084247657 -0.23501994986566488 0.5206319948762828 0.7456042991979634 education=11th 0.8503657817182113 -0.08064140928149177 -0.44950029933967617 0.5417821034674524 education=HS-grad -0.2932807572462157 0.1750903503920016 -0.42963216252575864 0.27281984300064166 education=Prof-school 0.46947218866750196 -0.2006664389397843 -0.007611702258861985 -0.11175444131609624 education=Assoc-acdm 0.7081291807504706 -0.7944068178044312 0.5556572437522092 -0.9335657721138699 education=Assoc-voc -0.24061421942575856 0.008039366856094743 -0.06414255079300157 3.6145443088742013E-4 education=9th -0.9642381334211705 -0.34223500706955745 0.581883792077786 -0.7749867870236593 education=7th-8th 0.8670432408127318 -0.9092354758105645 0.3900125000367807 0.06057273071867808 education=12th -0.8696007473626297 -0.7334498770360984 0.7058435668264667 -1.1115062725131075E-4 education=Masters 0.3465258071471924 -0.33602330668317903 -0.3129087233549903 0.9892149607419758 education=1st-4th -0.8167277956790722 -0.9135863589393431 0.02610996403624033 0.8792707673766966 education=10th 0.7878156648994752 -0.7807680378694088 -0.462522817258358 -0.09064052952929758 education=Doctorate -0.03737106121044187 -0.6927186014346831 -0.6059751197526604 -0.42152781045066234 education=5th-6th -0.7039451796392546 -0.04651553519580287 0.37884686133433476 0.9189431316199956 education=Preschool -0.25061215762800937 -0.2811473040256278 0.4750638852980775 -0.28466627594939187 education-num 0.7570139763148025 -0.7135320765166084 0.7095630803542929 0.31261424191649145 marital-status=Married-civ-spouse 0.07161483908527733 -0.02040282128248827 0.7307554776597209 0.6991132954699191 marital-status=Divorced -0.2929146652991399 -0.1278399509192012 0.09096665264291759 0.8581041564016825 marital-status=Never-married -0.1436248509099467 0.125715959228466 -0.6567849341995451 0.6250627718483424 marital-status=Separated 0.47856872552529284 0.7042873900527513 0.7039443927561857 -0.3446275682842497 marital-status=Widowed 0.3530818927280175 0.05689944046420581 0.7399516113269649 -0.16647117759888652 marital-status=Married-spouse-absent 0.10746472754848435 0.7401447001416164 0.15243879219802503 0.5322886087957603 marital-status=Married-AF-spouse 0.9220652998926835 0.7727389942372884 -0.9505660761908634 -0.11916838036402955 occupation=Tech-support -0.7031877691307598 -0.011289660140685331 -0.4479385856204541 -0.3195322689916189 occupation=Craft-repair 0.004231694607287784 0.15029045332556845 -0.8372709424047018 -0.37021539467745024 occupation=Other-service -0.9195462037006454 0.675396279528732 -0.2114306481367243 -0.587410789925003 occupation=Sales 0.5521353933189499 0.32493050893343023 0.009363763552051374 -0.8178384062514581 occupation=Exec-managerial -0.6821330418426335 -0.36469919296372244 0.6727975905968102 -0.5871392765754 occupation=Prof-specialty 0.4505668187859737 -0.9300610446865192 0.8736766715083297 0.656582216868483 occupation=Handlers-cleaners -0.11049244350711152 0.009293450905425438 0.08110612500054448 0.8212621599270449 occupation=Machine-op-inspct -0.691868494520304 -0.19693618671806012 0.05983975507910522 -0.8926810336237185 occupation=Adm-clerical 0.604362172474135 0.41367460518342103 -0.8898647831169169 0.8870772256759778 occupation=Farming-fishing -0.936229684086735 -0.6501679752255418 -0.2808023441235139 -0.04218791575174907 occupation=Transport-moving 0.05873841105089439 -0.40321910666809146 -0.12044039555375186 -0.02348518031393665 occupation=Priv-house-serv -0.4914785519869249 0.7639356515390374 -0.7763809593395963 0.493861584799713 occupation=Protective-serv 0.7106293084038091 -0.9617325234456724 -0.4942702287248746 0.43270077052707734 occupation=Armed-Forces 0.739061927976177 0.2763051697782848 -0.07455943525138098 0.5634302309301593 relationship=Wife 0.5014089535671729 0.6236547782121904 -0.4070195058789634 -0.5450026716236831 relationship=Own-child 0.1829550527487993 -0.22064430400571222 0.5918265491932502 -0.468112730703764 relationship=Husband -0.25845735085314825 0.3540972733502672 0.5296083448052284 0.8607536818964983 relationship=Not-in-family -0.10540891432740707 -0.35449024310573596 0.12373233072974288 0.6437313930414699 relationship=Other-relative -0.5139351352710884 0.7264804392977118 0.14497028385802802 0.6697151199988334 relationship=Unmarried 0.8253011803298325 -0.34515368428413473 0.5331621430483879 0.676002253246357 race=White -0.9033120876707306 0.9203928990358814 0.6269634635770847 -0.9558086243488344 race=Asian-Pac-Islander 0.512068543569558 -0.5777583194148155 0.5043169824281064 -0.4023932817061264 race=Amer-Indian-Eskimo 0.48968638227287276 -0.9839771691073684 -0.20928392138938223 -0.35727973222935705 race=Other 0.6789209260562308 0.05754639713686305 0.4330549498388214 0.8667926987982213 race=Black -0.897444338980647 -0.8183949025579744 -0.8637210246892983 0.09862613864082892 sex -0.5430204572112245 -0.5176783800265996 0.634593132857403 -0.9686094403272567 capital-gain -0.19049900109210882 -0.06703836737645275 0.973356619767602 -0.40391985937019137 capital-loss -0.0619729250883605 0.5138300893737098 -0.2774081565274773 0.9998497308922341 hours-per-week -0.1610263476917564 0.2844530401550873 -0.9062092053925539 -0.3552134067705861 native-country=United-States 0.4983604483416251 -0.30701778785005107 0.06593604687689436 -0.686584595474754 native-country=Cambodia -0.3101339979908766 0.7650543654295145 0.9380028506283324 -0.30873753371674817 native-country=England 0.4618699940505331 -0.9093338096484396 0.07618682918158037 0.09016187538788278 native-country=Puerto-Rico 0.6320069383648426 -0.9686974151792802 -0.6384500106951023 -0.5278907178329375 native-country=Canada -0.8077366279541003 -0.27951653590085135 0.0035777612710261586 -0.8195895426627005 native-country=Germany -0.3321046043329061 0.1177997717735706 -0.5747491624304712 0.6162170004330911 native-country=Outlying-US(Guam-USVI-etc) 0.3738825867773119 0.4907596689745173 -0.6614000763327128 0.15195592266918712 native-country=India 0.9140698157810068 0.4543122007346583 0.10112261078999807 -0.6767488133422745 native-country=Japan 0.0996721500338098 0.15144294055829532 0.026912182896058123 0.7253948709725277 native-country=Greece 0.8512710438094737 0.6560462121599187 0.43204138638170764 -0.3489263633823996 native-country=South -0.7441953363089409 -0.2299677179768269 0.9860533847033379 -0.5511676258100462 native-country=China 0.4430109491865184 0.051422910012047574 -0.9377752423768106 0.4821999624010793 native-country=Cuba -0.32122521748112765 -0.22586644953112245 -0.8770188937422458 -0.9872680392749098 native-country=Iran 0.9139434962799797 -0.9781211530912235 0.7562356835859629 0.3375184422166282 native-country=Honduras 0.5472008430381947 0.42701531606025056 0.7328350499041136 0.46630750776886054 native-country=Philippines 0.22544636308217547 0.8444101859984545 0.6653587237719452 -0.6259482190324672 native-country=Italy 0.62313795000761 0.18826690473033048 -0.8662120099763666 0.5445264448520677 native-country=Poland -0.2698060920431755 0.9845109864674038 -0.16770742351834622 0.9335488098895828 native-country=Jamaica -0.7763259879148854 0.21724285307484004 0.26391796589254324 0.7186388107086981 native-country=Vietnam 0.9056326674498016 0.10085483031786624 -0.5702198661539546 -0.5275842224095246 native-country=Mexico 0.4114692395785826 0.2965455738442202 -0.8815226162190495 -0.1564371955023851 native-country=Portugal 0.764793691141473 0.5907955694376601 -0.781051879777287 -0.5455491576380482 native-country=Ireland -0.1475310152860081 0.7117489815248057 -0.9942325366152864 -0.6759222265181686 native-country=France 0.8596874073694607 0.8060321380913651 -0.06710780840353103 -0.5392045399838816 native-country=Dominican-Republic 0.39129418435713004 -0.32146599999672665 -0.9056922094747102 0.5214978145889015 native-country=Laos -0.4032356053483952 0.36036265240780296 0.015813851537344714 -0.7175192713758018 native-country=Ecuador 0.712050320237144 -0.6527105341665818 0.3416458771189379 0.16745796953993453 native-country=Taiwan -0.22402111247517187 -0.22264189246661537 -0.8155702533568008 0.807187360752591 native-country=Haiti -0.16198519897081876 -0.6428370401476486 -0.8542625030610274 0.3670362515354866 native-country=Columbia 0.27650600444972695 -0.5927197846436725 0.4643263007463809 0.07187473143997436 native-country=Hungary -0.18736995333534212 -0.4930774297276219 0.7343673315714891 -0.5837067727420182 native-country=Guatemala -0.8939754828692459 -0.31682738490417717 0.05855939066747751 0.6865289951618971 native-country=Nicaragua 0.11245814668444032 -0.9595521783565519 0.9788321811566452 -0.782665160670426 native-country=Scotland 0.6008270228006749 -0.22947436017448042 0.029494976778761783 -0.017548795466707734 native-country=Thailand 0.36750989392825795 -0.97690016450469 0.8385943045435413 -0.8336746574937284 native-country=Yugoslavia 0.4362512818101161 0.1592798869910419 0.24928970852404286 0.523517320190171 native-country=El-Salvador -0.7158369032855632 -0.44423289092020957 -0.351405464222593 -0.33310595640085916 native-country=Trinadad&Tobago 0.8376760046096223 0.1984464076371375 0.3624124937653608 -0.8557901439129865 native-country=Peru 0.5404956818144595 0.4114337204249294 0.8664091371712028 0.06472777441753874 native-country=Hong 0.5594878631518168 -0.2891926450311346 0.09934954882977465 0.3287108567607693 native-country=Holand-Netherlands Hidden Weights: 0.021714058797201785 -0.5875484402994169 -0.8422214587412362 -0.2904940892989565 -0.1863631610412919 -0.8674699488839788 0.21403415145898608 -0.10606481808314183 >50K <=50K Error sum for iteration 100 = 826.3418374856484 Error sum for iteration 200 = 829.9594688572255 Error sum for iteration 300 = 829.7740350344293 Error sum for iteration 400 = 826.4687511032082 Error sum for iteration 500 = 817.8091134727387 Error sum for iteration 600 = 810.8196436424428 Error sum for iteration 700 = 810.6938669996514 Error sum for iteration 800 = 817.2802648599528 Error sum for iteration 900 = 826.567434556844 Error sum for iteration 1000 = 833.119943300648 Error sum for iteration 1100 = 837.1147075923409 Error sum for iteration 1200 = 839.6846204396926 Error sum for iteration 1300 = 841.9817507479403 Error sum for iteration 1400 = 844.4874872605144 Error sum for iteration 1500 = 846.2362807865717 Error sum for iteration 1600 = 846.4201283642273 Error sum for iteration 1700 = 845.2875602183658 Error sum for iteration 1800 = 843.3707306984599 Error sum for iteration 1900 = 841.1801825982836 Error sum for iteration 2000 = 838.9622951348921 Error sum for iteration 2100 = 836.7934553172688 Error sum for iteration 2200 = 834.7417155203656 Error sum for iteration 2300 = 832.8349706107691 Error sum for iteration 2400 = 831.0764904431305 Error sum for iteration 2500 = 829.4194091268308 Error sum for iteration 2600 = 827.8528220290478 Error sum for iteration 2700 = 826.3443087365844 Error sum for iteration 2800 = 824.8751701019024 Error sum for iteration 2900 = 823.4045996735908 Error sum for iteration 3000 = 821.9155015703357 Error sum for iteration 3100 = 820.4034017179893 Error sum for iteration 3200 = 818.891716338561 Error sum for iteration 3300 = 817.4080467691437 Error sum for iteration 3400 = 815.9767773421152 Error sum for iteration 3500 = 814.6095330205252 Error sum for iteration 3600 = 813.3124774892639 Error sum for iteration 3700 = 812.0837293152981 Error sum for iteration 3800 = 810.9102470329092 Error sum for iteration 3900 = 809.7763450228963 Error sum for iteration 4000 = 808.6720939814318 Error sum for iteration 4100 = 807.5882177435951 Error sum for iteration 4200 = 806.5229120289629 Error sum for iteration 4300 = 805.4678624063239 Error sum for iteration 4400 = 804.4183946117494 Error sum for iteration 4500 = 803.3642276156523 Error sum for iteration 4600 = 802.2974296222587 Error sum for iteration 4700 = 801.2021837069605 Error sum for iteration 4800 = 800.0691836648789 Error sum for iteration 4900 = 798.9153255520479 Error sum for iteration 5000 = 797.7225667443751 Error sum for iteration 5100 = 796.4764475498405 Error sum for iteration 5200 = 795.1831433305174 Error sum for iteration 5300 = 793.8299532188443 Error sum for iteration 5400 = 792.3929616032887 Error sum for iteration 5500 = 790.8418680192954 Error sum for iteration 5600 = 789.1390825242697 Error sum for iteration 5700 = 787.2590989826957 Error sum for iteration 5800 = 785.1993214950793 Error sum for iteration 5900 = 782.9632042076049 Error sum for iteration 6000 = 780.5732993643056 Error sum for iteration 6100 = 778.0835946164208 Error sum for iteration 6200 = 775.5408865054982 Error sum for iteration 6300 = 772.9807981620199 Error sum for iteration 6400 = 770.4205742216999 Error sum for iteration 6500 = 767.8837818584161 Error sum for iteration 6600 = 765.3863891840645 Error sum for iteration 6700 = 762.9401114352024 Error sum for iteration 6800 = 760.5616882600688 Error sum for iteration 6900 = 758.2527143548785 Error sum for iteration 7000 = 756.0155352452075 Error sum for iteration 7100 = 753.8525144952945 Error sum for iteration 7200 = 751.7608489807152 Error sum for iteration 7300 = 749.7408820284331 Error sum for iteration 7400 = 747.7929505889525 Error sum for iteration 7500 = 745.9163774815104 Error sum for iteration 7600 = 744.103120547194 Error sum for iteration 7700 = 742.346301731783 Error sum for iteration 7800 = 740.6419057128888 Error sum for iteration 7900 = 738.9927646047119 Error sum for iteration 8000 = 737.3953537523628 Options: -I 8000 -H 4 -E 0.0112 -M 0.0445 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 4 Number Output Nodes: 2 -I 8000 -E 0.0112 -S 1805502473 -H 4 -M 0.0445 Input Weights: -9.031687484102982 -1.2194588409355005 6.555002442545317 -4.136659218691583 age 0.9175441097667675 0.815100095569443 -1.8061321835511945 -0.5221451168568092 workclass=Private -1.5367230207333236 -0.5365742173102227 1.9058099065583787 2.548376822080008 workclass=Self-emp-not-inc 2.2322759093185573 -0.012453074015515892 -3.4482868709729524 -1.409884111751666 workclass=Self-emp-inc -0.7345832673157784 -3.432055228258223 -0.11041531849993967 -1.0047447034611285 workclass=Federal-gov 0.3789889104414027 1.0019466090517952 0.4016412275555352 1.6598044184362044 workclass=Local-gov 2.4851904663253213 -1.016926776270781 0.07758199176254306 2.5976385110342246 workclass=State-gov -0.13869981298715836 -0.3904376210979196 -1.0922324040219449 1.0756013810389171 workclass=Without-pay 0.5681233113350114 0.7409674719333522 0.15425532818917323 0.4656951783077109 workclass=Never-worked -6.82999789310667 3.103830977153839 5.962338087436405 -1.5322476722624783 fnlwgt -2.587548636050896 -1.0452058212540685 1.539705094533498 -0.9649073522914438 education=Bachelors 1.3705805239865616 -1.1615304399269415 -1.2288741038997286 0.981585603887063 education=Some-college 1.4458007764759244 -1.2324188147831387 1.4974830452219108 5.102805766282891 education=11th 1.5919617120221847 -0.36710843512821756 -1.5069388386590659 0.6168380388666429 education=HS-grad -2.2803537118251764 0.11263131861154256 1.9083576988161177 -2.6274931026372474 education=Prof-school 1.9392514153554195 -1.6778097750253396 -2.6398486212226357 0.01757618296940926 education=Assoc-acdm -0.2637542706294735 -0.3552760485814787 1.351267264050007 1.4674247241542988 education=Assoc-voc -1.30085555907419 -4.055182298848068 -1.4539673921050038 0.5936765207030006 education=9th -3.040775528349291 0.9818782708988953 -0.3266417018309451 -1.229295344887263 education=7th-8th 4.171616731196142 1.582753972322463 -0.8033058453795714 5.213203234906248 education=12th 1.143440979530389 -0.3751485900913193 -2.335906664491304 -1.3674461330805412 education=Masters 0.3453042808116072 -0.3064785649550874 -2.856945471782039 2.6356020571170458 education=1st-4th -1.5791308146098726 1.7745513336303593 0.13951570967421842 -0.4599999049416186 education=10th 0.39305289371465857 0.47631202056971417 1.866133959706961 0.19086550154997847 education=Doctorate 3.4900245191926738 -3.022428256812642 -0.45757697253198204 -0.026509503315415097 education=5th-6th -0.40577593582636107 -0.1702452899355043 0.015503785465598514 1.3077056584376898 education=Preschool -0.793408445857719 0.23568880324381503 2.4869034462659405 -2.6717374344584948 education-num -2.486942254520243 -3.7197793013854508 1.9889806216266148 -4.140024091520489 marital-status=Married-civ-spouse -0.226753274353516 2.01478638042768 0.5796661155424019 1.3822097105260074 marital-status=Divorced 2.8233227572305397 -0.010028404278412763 -2.7423972760562916 2.0034033633449675 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1.6710869193654498 native-country=Yugoslavia -0.707963518576012 -0.22612972204981238 0.6418667781076991 2.4406003487069974 native-country=El-Salvador -0.3532993315686991 0.12107962931632879 -1.3283739780725388 0.8574572174328254 native-country=Trinadad&Tobago 1.8672049858969773 2.325758780580656 -0.632635600801758 0.22963645017438464 native-country=Peru 0.6371540706779826 0.5539771450193683 0.15078002902950507 0.3964413574642711 native-country=Hong 0.7465181624950253 -0.42247262594355844 -0.14325295578212957 0.6422595458033155 native-country=Holand-Netherlands Hidden Weights: 4.7613058220874205 -4.761305822087419 -9.01566497543065 9.01566497543065 4.813618538610622 -4.813618538610625 -3.5351316011477025 3.5351316011477025 >50K <=50K === Error on training data === Correctly Classified Instances 4356 86.8594 % Incorrectly Classified Instances 659 13.1406 % Mean absolute error 0.2512 Root mean squared error 0.3182 Relative absolute error 68.0347 % Root relative squared error 74.0502 % Total Number of Instances 5015 === Confusion Matrix === a b <-- classified as 931 294 | a = >50K 365 3425 | b = <=50K === Error on test data === Correctly Classified Instances 13264 81.4692 % Incorrectly Classified Instances 3017 18.5308 % Mean absolute error 0.2793 Root mean squared error 0.3592 Relative absolute error 76.4806 % Root relative squared error 84.5408 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 2488 1358 | a = >50K 1659 10776 | b = <=50K