Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 4 Number Output Nodes: 2 -I 15000 -E 0.0010 -S -1924166165 -H 4 -M 0.0445 Input Weights: 0.6936569472993879 0.5879473006520151 -0.22111365399650595 -0.17918442168960125 age 0.9531463793506056 0.2869992035259956 -0.73210402062062 -0.4982601777475071 workclass=Private -0.606711497188537 -0.4204699957779523 0.3365504864719895 -0.4112910825859737 workclass=Self-emp-not-inc 0.19781441534224253 0.595534654462851 0.2940417062454148 0.7263251260334924 workclass=Self-emp-inc 0.11059060621729122 -0.19304675623919199 -0.14593423068439293 0.2611773991862487 workclass=Federal-gov 0.65039900675954 -0.707951055235515 0.2518851878831856 -0.8831808180395213 workclass=Local-gov -0.019921267942015097 -0.582218617227646 0.1379898540958293 0.8343218026677415 workclass=State-gov -0.01804337322820304 -0.4279227333385345 0.19774227358674556 0.5093315082268701 workclass=Without-pay -0.4871690379384708 0.37161887908570845 -0.858244406202247 -0.5668412387843831 workclass=Never-worked 0.24459226848062898 -0.3220026058625678 0.4097085972938408 -0.26180244018079324 fnlwgt 0.22811609979011105 0.27303224620104816 -0.2853650257435696 0.5313840689657057 education=Bachelors -0.3904655857977457 0.25535845211917385 0.6093862402446659 0.11150238832657222 education=Some-college 0.620614218519429 0.993862239902215 0.0131824632969193 0.11600053472752636 education=11th -0.29966240272467126 0.6621142268214264 -0.8880990979111352 -0.2816703557054101 education=HS-grad -0.30148833132938435 -0.8848797084397348 0.04165023296774217 0.9984593854319856 education=Prof-school 0.4325253867350163 0.8787872419206237 0.8934714901231477 0.9512434731424868 education=Assoc-acdm 0.8834573036174158 -0.834949119570217 -0.08746181686679111 -0.27532609448523626 education=Assoc-voc 0.7889075315630909 -0.07175226867777962 -0.7799315153794244 -0.7323147811549964 education=9th -9.285432617907041E-4 0.28934298981153006 -0.27805059799526166 -0.6230602510298455 education=7th-8th -0.5241036422573193 0.09468899382827689 0.5725934335987108 -0.883040579873561 education=12th 0.1970541042766314 0.0591530419253643 -0.3703524534674403 -0.6550477544257625 education=Masters -0.569829563626054 0.2579087473475581 -0.7004552285319905 0.556933512334479 education=1st-4th -0.18317473717035937 -0.41892561148576246 0.5648068657560434 -0.9944841339251547 education=10th -0.5319880371209547 -0.6121966418679936 -0.32542633959307454 -0.16062474993092568 education=Doctorate -0.28480241716045374 0.680222048364914 -0.2792064041739881 -0.3927928947299073 education=5th-6th -0.4361684569997559 -0.23705888260735053 0.062188561385577934 -0.8508612386138283 education=Preschool -0.06278631520799838 0.7242084765575039 -0.03744087237566074 -0.2955531925337027 education-num 0.163319505437026 -0.5946585459059526 0.7099078067330047 0.7655796940834305 marital-status=Married-civ-spouse -0.34037911691246947 -0.5357642001454705 0.7862568226125966 0.7036770976831639 marital-status=Divorced 0.21508080122061934 -0.7884596420026018 0.5804014272707239 -0.2687331327126292 marital-status=Never-married 0.08739677089242348 -0.8066658484522196 0.4116485171107209 -0.26761384903877383 marital-status=Separated 0.15854293217943072 -0.5106919905536673 0.6848678285193903 0.2511593502005156 marital-status=Widowed -0.08458340304862699 -0.5542956939276975 -0.14585846166770544 -0.3394017050850846 marital-status=Married-spouse-absent -0.3673623770561303 -0.7071046436175672 0.9325817985376297 -0.37593285645011987 marital-status=Married-AF-spouse -0.39283706087522763 0.5511867409364817 0.8465278377038226 -0.9835897176576351 occupation=Tech-support 0.14775993136245646 -0.16844087948599729 0.7059830435393022 0.6778096135047342 occupation=Craft-repair -0.853042572750788 0.5623481185674222 -0.2764224616919104 0.3457264724203497 occupation=Other-service 0.15257442092584705 0.08174512274661416 -0.37812669591418113 -0.8783391925954303 occupation=Sales 0.17943292938454602 -0.38293692603359664 -0.16029161735864705 -0.34371212942449025 occupation=Exec-managerial 0.8683756136967251 0.8693331598149381 -0.5554834205805645 0.6573227920400431 occupation=Prof-specialty -0.8209903143523416 -0.3034581573657127 0.7864011291171931 0.6234212467505462 occupation=Handlers-cleaners 0.7791906193142373 0.44265771942430665 0.3542062011096072 0.3469314101693912 occupation=Machine-op-inspct -0.8566304531496409 0.2785251735567973 -0.8314975932476176 -0.3330823602427111 occupation=Adm-clerical -0.1408514134036376 0.7987566614675388 -0.9950574023905412 -0.10113004994201646 occupation=Farming-fishing -0.5400061877157709 -0.35989328389122766 -0.4250646009518497 0.563603400867891 occupation=Transport-moving -0.6254001875702846 0.6548536805304557 -0.4317290634720532 0.006079695389314299 occupation=Priv-house-serv 0.2666180232338262 -0.11213822128270778 -0.24122669597083157 -0.5517462462139893 occupation=Protective-serv 0.5830635183119062 -0.5939061513752262 -0.42067802295428125 0.49500904241693355 occupation=Armed-Forces -0.44088602606294836 0.31942816968469634 -0.9254956692815541 -0.3324632623579875 relationship=Wife 0.8115833352696737 -0.8580869206137776 -0.5207962750479604 0.1854700720097855 relationship=Own-child -0.7307802525101497 0.8664138867492344 0.5882751577114933 -0.44007140052097915 relationship=Husband -0.5380125478755515 0.8012725266283889 0.6698636582446382 0.4228665077758107 relationship=Not-in-family -0.15365700040399632 -0.669236943790136 0.6928325301427427 -0.3074727013513585 relationship=Other-relative -0.5303459288472852 -0.14328066383779436 -0.6705956824404455 -0.8438382522949504 relationship=Unmarried -0.12974450513860503 -0.6159859109675532 0.7669272140536953 -0.971827934042907 race=White 0.9266856349531825 -0.914512943834408 -0.37514984165468723 -0.8395441076940959 race=Asian-Pac-Islander -0.23598432553658144 0.11099376903162628 0.6944963152138068 0.8392719470821208 race=Amer-Indian-Eskimo 0.04216479910375348 0.6005102028925264 0.03404716150927167 -0.963716666858504 race=Other 0.6692911891961266 0.7874279522931342 -0.29136412841600645 -0.3744807186535286 race=Black -0.2950851560509544 -0.5055579578897811 0.7584959793755266 -0.5158870446096662 sex -0.5789519729747188 0.906975698671298 0.8871086291509196 0.8097309817102953 capital-gain -0.22731347893108733 0.34592067999959464 0.4654878665271778 -0.8913249860161279 capital-loss -0.22178477222918502 -0.17917205000319436 0.06904038824408443 -0.6608127750078492 hours-per-week -0.7480485766091127 -0.8689320585016351 0.41319802724066723 -0.2584589192847744 native-country=United-States -0.37443368503355057 0.1070160653562473 0.3869355486590573 0.5500380535581173 native-country=Cambodia -0.048227662083585754 -0.5125812344952116 -0.760093679452162 0.6009885647556015 native-country=England 0.7850700498816103 0.6129700386069676 0.9458268551506477 -0.41810744775501885 native-country=Puerto-Rico -0.5279467954865675 0.036304945074389305 0.9730289893283626 -0.8140220877902149 native-country=Canada -0.08100472457416852 -0.5390883283180063 0.39515768145405183 -0.6378976192367842 native-country=Germany 0.7806128151218428 0.8585510674405459 0.05117111540735331 0.8077004610809662 native-country=Outlying-US(Guam-USVI-etc) 0.359998973552353 0.8998835963839815 0.7230177264434996 -0.40072656790301675 native-country=India -0.3140057446049236 -0.956183841802019 0.050213533044029424 -0.689491111930693 native-country=Japan -0.31557962343753876 0.24036528348348019 -0.9179946257649798 -0.5008009235106272 native-country=Greece -0.4540193244465749 -0.6660705155264213 -0.6589535424773678 -0.4317405112499466 native-country=South 0.604442673124143 -0.9914728720288493 -0.11208746454914764 -0.00903207925037397 native-country=China 0.16895164912491545 -0.3757412443039614 -0.1582809428985823 0.5375689762465192 native-country=Cuba -0.025695427869097953 0.4794894160166001 0.9045127675558069 0.3549831709007003 native-country=Iran -0.548748422285418 -0.12509234559193216 0.4015082126846379 -0.687144506903151 native-country=Honduras 0.09823633906544549 0.7460012801458507 0.15911834135123604 -0.7122063451358116 native-country=Philippines -0.4853339763012836 0.7470046628706184 -0.009016948163023564 0.0971899444854345 native-country=Italy -0.6625937004649141 0.08549790942697677 -0.025349747800608613 0.9120040349784626 native-country=Poland -0.5888203265661942 -0.018590050262985436 -0.12592836850385636 -0.8529381303078636 native-country=Jamaica 0.5152742883509303 0.5205526772203175 -0.6636230354966355 -0.8846374242957886 native-country=Vietnam -0.42406457569928246 0.6719710905675886 -0.8098105758840985 -0.5314339072670073 native-country=Mexico -0.3779904479607925 0.8225760075156885 0.44811188551140013 0.23493779207849563 native-country=Portugal -0.35650326846265545 0.6783921261905683 -0.9573219297650541 -0.23113024397630477 native-country=Ireland 0.6569239666292441 0.7647415042415802 -0.5823411720352292 0.624856218322813 native-country=France 0.7881451986250889 -0.4685162929823248 0.22139737022536465 0.36302638658565445 native-country=Dominican-Republic -0.5076555400961493 -0.05268965387122426 0.32004886851546654 -0.5246047826756746 native-country=Laos -0.02170596093224897 0.39392856247853647 -0.6891748792675145 -0.6036023430543065 native-country=Ecuador 0.7933868558092856 0.03778761935076402 0.7262611946820303 -0.41542300960394396 native-country=Taiwan 0.3016756047018767 -0.4281366265817339 0.16021597350694705 0.8925171752523704 native-country=Haiti 0.21734072102317303 -0.38804934355207243 0.4925564080370426 -0.900695921395547 native-country=Columbia -0.543462414437105 0.37693592010553467 0.8102681781308905 -0.6681740526100513 native-country=Hungary -0.6932795717075866 -0.9467503261390136 -0.9495871364845658 -0.19871792828921286 native-country=Guatemala -0.46932943991603016 -0.00330797518469228 0.05360977508618925 0.29621548741199866 native-country=Nicaragua 0.17562316448950943 -0.947834160898265 0.519736629503647 -0.14549535255896417 native-country=Scotland -0.9980431257955977 0.656059266227865 -0.7922404032173567 -0.7031291922979084 native-country=Thailand 0.7952489783531473 -0.6901677301651448 0.12015323767014596 0.37819673329791037 native-country=Yugoslavia 0.46979048522461975 0.4884779892463016 0.5338101687269232 -0.611092471745835 native-country=El-Salvador -0.5320767732220986 -0.9611521988937775 0.03967576825436159 -0.6346612203999595 native-country=Trinadad&Tobago -0.2740609632884279 -0.042737518315794976 0.4579343150736932 -0.7526214326557406 native-country=Peru 0.027609303099287663 0.9972582458382595 0.1310197353373297 -0.28300532631000563 native-country=Hong -0.5627861466293063 -0.3172913326593241 -0.4568021469752115 0.7482837887779055 native-country=Holand-Netherlands Hidden Weights: 0.1726520040668733 0.9252470354624431 -0.5238207436998181 0.49458958651402085 0.13963130067176532 -0.5743097665215235 0.47134293993745513 0.13392371332201347 >50K <=50K Error sum for iteration 100 = 5398.880504026105 Error sum for iteration 200 = 5584.426285861244 Error sum for iteration 300 = 5636.099272126814 Error sum for iteration 400 = 5683.257752305447 Error sum for iteration 500 = 5726.657329676132 Error sum for iteration 600 = 5765.480313540982 Error sum for iteration 700 = 5800.962117633138 Error sum for iteration 800 = 5834.860459970996 Error sum for iteration 900 = 5868.513787150625 Error sum for iteration 1000 = 5902.489998872752 Error sum for iteration 1100 = 5936.787835520642 Error sum for iteration 1200 = 5971.15020668451 Error sum for iteration 1300 = 6005.423822292748 Error sum for iteration 1400 = 6039.756972636096 Error sum for iteration 1500 = 6074.3648474110305 Error sum for iteration 1600 = 6109.053215139682 Error sum for iteration 1700 = 6142.756049650488 Error sum for iteration 1800 = 6173.771545206914 Error sum for iteration 1900 = 6200.651881756241 Error sum for iteration 2000 = 6222.4813552259575 Error sum for iteration 2100 = 6239.079520403508 Error sum for iteration 2200 = 6250.912887341671 Error sum for iteration 2300 = 6258.800123959794 Error sum for iteration 2400 = 6263.690583117801 Error sum for iteration 2500 = 6266.524810629452 Error sum for iteration 2600 = 6268.109104658446 Error sum for iteration 2700 = 6269.052322151225 Error sum for iteration 2800 = 6269.787608552043 Error sum for iteration 2900 = 6270.595167205452 Error sum for iteration 3000 = 6271.633573237489 Error sum for iteration 3100 = 6272.932814160145 Error sum for iteration 3200 = 6274.496144820593 Error sum for iteration 3300 = 6276.268440773927 Error sum for iteration 3400 = 6278.1661489233375 Error sum for iteration 3500 = 6280.078460955267 Error sum for iteration 3600 = 6281.896089114863 Error sum for iteration 3700 = 6283.51997966735 Error sum for iteration 3800 = 6284.868343763422 Error sum for iteration 3900 = 6285.878442315704 Error sum for iteration 4000 = 6286.490986472745 Error sum for iteration 4100 = 6286.665453396349 Error sum for iteration 4200 = 6286.370998221701 Error sum for iteration 4300 = 6285.595108228035 Error sum for iteration 4400 = 6284.341054449452 Error sum for iteration 4500 = 6282.610480723975 Error sum for iteration 4600 = 6280.42004603681 Error sum for iteration 4700 = 6277.7935866900925 Error sum for iteration 4800 = 6274.7501972008195 Error sum for iteration 4900 = 6271.322943960893 Error sum for iteration 5000 = 6267.5448286872615 Error sum for iteration 5100 = 6263.445716352302 Error sum for iteration 5200 = 6259.060548780507 Error sum for iteration 5300 = 6254.426233210707 Error sum for iteration 5400 = 6249.5750739797295 Error sum for iteration 5500 = 6244.538502711366 Error sum for iteration 5600 = 6239.349594247148 Error sum for iteration 5700 = 6234.034876198084 Error sum for iteration 5800 = 6228.62154681227 Error sum for iteration 5900 = 6223.131979117248 Error sum for iteration 6000 = 6217.588998731093 Error sum for iteration 6100 = 6212.01292300885 Error sum for iteration 6200 = 6206.422315346278 Error sum for iteration 6300 = 6200.8346413753015 Error sum for iteration 6400 = 6195.262981369852 Error sum for iteration 6500 = 6189.718640890005 Error sum for iteration 6600 = 6184.212782652435 Error sum for iteration 6700 = 6178.756512511898 Error sum for iteration 6800 = 6173.3546523974965 Error sum for iteration 6900 = 6168.0154498368565 Error sum for iteration 7000 = 6162.748376529003 Error sum for iteration 7100 = 6157.555447181434 Error sum for iteration 7200 = 6152.442143534732 Error sum for iteration 7300 = 6147.410681761269 Error sum for iteration 7400 = 6142.465658274268 Error sum for iteration 7500 = 6137.608702002079 Error sum for iteration 7600 = 6132.841523823433 Error sum for iteration 7700 = 6128.1639328026395 Error sum for iteration 7800 = 6123.577390669014 Error sum for iteration 7900 = 6119.083708451014 Error sum for iteration 8000 = 6114.6849572990595 Error sum for iteration 8100 = 6110.380020409225 Error sum for iteration 8200 = 6106.169725986708 Error sum for iteration 8300 = 6102.054107084522 Error sum for iteration 8400 = 6098.033065404111 Error sum for iteration 8500 = 6094.107271804098 Error sum for iteration 8600 = 6090.277399572324 Error sum for iteration 8700 = 6086.543803238767 Error sum for iteration 8800 = 6082.906170646853 Error sum for iteration 8900 = 6079.365285711663 Error sum for iteration 9000 = 6075.919039633478 Error sum for iteration 9100 = 6072.568756234909 Error sum for iteration 9200 = 6069.314537104116 Error sum for iteration 9300 = 6066.1542202344735 Error sum for iteration 9400 = 6063.089085606553 Error sum for iteration 9500 = 6060.11756816698 Error sum for iteration 9600 = 6057.239000683356 Error sum for iteration 9700 = 6054.45288392797 Error sum for iteration 9800 = 6051.758410740667 Error sum for iteration 9900 = 6049.155153216916 Error sum for iteration 10000 = 6046.644247192351 Error sum for iteration 10100 = 6044.224646340687 Error sum for iteration 10200 = 6041.89428150591 Error sum for iteration 10300 = 6039.652258846074 Error sum for iteration 10400 = 6037.498196345442 Error sum for iteration 10500 = 6035.429519978294 Error sum for iteration 10600 = 6033.444392663753 Error sum for iteration 10700 = 6031.541327415071 Error sum for iteration 10800 = 6029.718793669593 Error sum for iteration 10900 = 6027.975745952866 Error sum for iteration 11000 = 6026.310339939467 Error sum for iteration 11100 = 6024.721220677631 Error sum for iteration 11200 = 6023.207231670702 Error sum for iteration 11300 = 6021.766759016193 Error sum for iteration 11400 = 6020.3981954438905 Error sum for iteration 11500 = 6019.100821855772 Error sum for iteration 11600 = 6017.871609969236 Error sum for iteration 11700 = 6016.710201391854 Error sum for iteration 11800 = 6015.614836197658 Error sum for iteration 11900 = 6014.584316814058 Error sum for iteration 12000 = 6013.618233269823 Error sum for iteration 12100 = 6012.717530905981 Error sum for iteration 12200 = 6011.8818741029445 Error sum for iteration 12300 = 6011.110585539639 Error sum for iteration 12400 = 6010.403833813542 Error sum for iteration 12500 = 6009.763830054694 Error sum for iteration 12600 = 6009.189477631324 Error sum for iteration 12700 = 6008.68277473285 Error sum for iteration 12800 = 6008.243872008667 Error sum for iteration 12900 = 6007.873842399082 Error sum for iteration 13000 = 6007.574081884258 Error sum for iteration 13100 = 6007.34712836637 Error sum for iteration 13200 = 6007.19304406202 Error sum for iteration 13300 = 6007.113565674798 Error sum for iteration 13400 = 6007.110015646535 Error sum for iteration 13500 = 6007.182954665951 Error sum for iteration 13600 = 6007.334883196649 Error sum for iteration 13700 = 6007.5669419457945 Error sum for iteration 13800 = 6007.879336540418 Error sum for iteration 13900 = 6008.273610978227 Error sum for iteration 14000 = 6008.750976551386 Error sum for iteration 14100 = 6009.312523226997 Error sum for iteration 14200 = 6009.959936611389 Error sum for iteration 14300 = 6010.692004354773 Error sum for iteration 14400 = 6011.509617656354 Error sum for iteration 14500 = 6012.413317831665 Error sum for iteration 14600 = 6013.403357229361 Error sum for iteration 14700 = 6014.479120379044 Error sum for iteration 14800 = 6015.639330662953 Error sum for iteration 14900 = 6016.886470109007 Error sum for iteration 15000 = 6018.217447347292 Options: -I 15000 -H 4 -E 0.001 -M 0.0445 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 4 Number Output Nodes: 2 -I 15000 -E 0.0010 -S -1924166165 -H 4 -M 0.0445 Input Weights: -1.5533169607962594 -5.769576646250997 -8.7811320769762 2.8667285165773118 age 0.46083575294324935 -1.5073625398529813 0.2920826277033157 -1.2263790104519945 workclass=Private -0.699732752473649 7.090256773099657 1.4282114468070408 1.5826856470932964 workclass=Self-emp-not-inc 0.6590269423008467 -1.4297163479771957 0.9371518939349954 -0.6411631241592202 workclass=Self-emp-inc 0.9430551456252 -1.513480325096684 0.5900804598972337 0.43234175341612424 workclass=Federal-gov 1.6012260113569299 -1.5600702803287236 0.1659570858459493 -0.049811127837127864 workclass=Local-gov 0.040647819326811316 -0.40762434018493354 0.4664126830294279 -0.7646275569510708 workclass=State-gov 0.8777538660779978 1.127892379891881 -0.5572194218047773 -0.07115583979293476 workclass=Without-pay -0.009366321613260627 0.800145961173747 -0.8396831418992554 -0.776303400843854 workclass=Never-worked 0.027797914851947 -1.4468001030451447 -0.9190102847347652 1.345814523737996 fnlwgt -0.21115498590889498 -0.38423584205868344 -0.026470818025961667 -0.32712827255018473 education=Bachelors 0.604954536983068 -0.06748445517499434 0.132836172195211 0.4900508748143915 education=Some-college 0.0856710240681272 0.9586412251536252 -0.1303296549473637 -1.2697884300000863 education=11th 0.5045030120892582 0.13312524979767165 -0.11828111337582865 0.30771628638943066 education=HS-grad 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-0.4344773734230091 0.16381540753384358 -0.3263394619133979 native-country=Hong -0.3087271571898551 -0.07571102882590262 -0.28079962597947344 0.6429847645938679 native-country=Holand-Netherlands Hidden Weights: -5.092644644882423 5.092644644882428 -3.3229982947620087 3.322998294762007 4.163437852160953 -4.163437852160954 3.5841815173132483 -3.584181517313247 >50K <=50K === Error on training data === Correctly Classified Instances 27683 85.0189 % Incorrectly Classified Instances 4878 14.9811 % Mean absolute error 0.2647 Root mean squared error 0.3309 Relative absolute error 72.3863 % Root relative squared error 77.3996 % Total Number of Instances 32561 === Confusion Matrix === a b <-- classified as 4706 3135 | a = >50K 1743 22977 | b = <=50K === Error on test data === Correctly Classified Instances 13699 84.141 % Incorrectly Classified Instances 2582 15.859 % Mean absolute error 0.2684 Root mean squared error 0.3369 Relative absolute error 73.8923 % Root relative squared error 79.3158 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 2219 1627 | a = >50K 955 11480 | b = <=50K