Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 10 Number Output Nodes: 2 -I 6000 -E 1.0E-4 -S 1708355992 -H 10 -M 1.0E-4 Input Weights: -0.802325796196343 -0.8044584974601683 -0.8299227146237034 -0.49387625173148053 -0.9496290545280894 0.656444340408536 0.8069299683722582 -0.30859235883542047 0.8293947751380446 -0.7799838924080631 age -0.2354297486521424 0.5854992341643592 0.08130567986916537 -0.7463582293844215 -0.6388912150578168 -0.8895712929879258 0.31277308643144464 -0.04792139610294499 0.3960950360211355 0.3052576245886518 workclass=Private -0.6132349531985757 0.5186384586337722 -0.3005422436786829 0.24641055024880565 0.11464147304478955 -0.8442170374403548 -0.18930386997452509 -0.22050330445965494 -0.5445911884181991 0.940820182715483 workclass=Self-emp-not-inc 0.8643208645933391 -0.884960465618011 -0.2551695870002004 -0.22256639167874637 -0.47823041633681007 0.3249764737011749 0.016590326792103705 0.2829383639362322 0.14731260041987415 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0.05891107517767691 0.9299925014953598 0.9035019875276602 0.712079061498669 -0.3821167165587531 0.6815690181017753 native-country=Poland 0.5686803269003184 0.14026987512832267 -0.6912372919311591 -0.12727172966482092 -0.03695682462774985 0.7794520666089171 -0.025424996360395413 0.8752560273984196 -0.9562808286065605 -0.6365703936493956 native-country=Jamaica -0.9623092698094886 0.26508811778000774 -0.3298332074220025 0.5945704604270552 -0.30739802529636817 0.6841767846633307 0.8246753544255652 0.34208712772864613 0.6325470929197301 0.17485319659380028 native-country=Vietnam -0.414323798353071 0.9042900052986023 -0.6046049614794153 0.8720419468609693 -0.49434784605146276 0.5676821778021572 0.5817590416318872 -0.9627484958533008 0.04583772544839504 0.5379197445885564 native-country=Mexico 0.08988974043732045 -0.49822652994150474 -0.46190698615287284 0.5542624331981028 0.8566169858209975 0.9189108154462817 -0.34035184915091343 0.41483625479155295 -0.10116409591348186 0.4424525125293115 native-country=Portugal -0.8713848147650791 0.40231076576379254 -0.47191975421690624 -0.06509336977053293 -0.41627435267550994 -0.7836445363271676 -0.24711106730398424 0.0170811586764823 -0.07705907242903653 -0.5076420147497944 native-country=Ireland 0.6618954248198778 -0.8814352066993463 0.12336307443867223 -0.3872025106601005 -0.24661170794709664 -0.04055844696848254 0.5008864549132193 0.0964354134928207 -0.4018300072250067 -0.5381275820356313 native-country=France -0.9039113700041665 0.33868059125323535 0.5775461457124897 -0.10010791337313041 -0.5656842295906497 0.40062957698395496 -0.004580081129862856 -0.04943699556836778 -0.7332736646181164 -0.9789351373911304 native-country=Dominican-Republic 0.35776658670016137 0.6468499938610404 -7.776614475223376E-4 -0.036182848070277274 0.3390129018333943 -0.011425128352142488 0.47050916994997194 0.18040915661464396 0.08990071190119786 -0.551321953077444 native-country=Laos -0.11642782780170058 -0.24649972763996364 -0.2929525563055002 0.8724572598229359 0.07794473423988602 0.6566751157817323 0.13977387583973933 0.5105852119767647 -0.9295633756122876 -0.5279040662462946 native-country=Ecuador 0.4434404025064491 -0.02946694296151242 0.904151118246157 -0.4530546917393887 0.9901119448098408 -0.5821497859198188 0.9989135220097021 0.8782666507922292 -0.5610015565342588 0.46083056215340945 native-country=Taiwan -0.23083340870086633 -0.19229426101600144 0.059296088740944386 -0.7586884406219696 0.4258968805208019 -0.7757767021533701 0.29490413342943644 0.9594047948647457 0.7345568420802286 -0.033938253077609115 native-country=Haiti 0.25557738717460077 0.6508278859475625 0.4772364889338354 0.6307267473023805 -0.24201910246075675 0.07681602193506532 -0.4713143131200157 0.6824448503008635 -0.9935954673384078 0.6908838084212445 native-country=Columbia 0.46011523942988486 -0.7758611637148192 0.3389318708078852 -0.5016405297680206 -0.37646417932383325 -0.9145230655489598 0.800666451441002 0.8781725543121701 -0.43307659675496746 0.40909074301401316 native-country=Hungary 0.1918228170856886 -0.5854759779690981 0.834471819208574 0.15456612155474847 0.5461223736205518 -0.0956980298655159 0.22807962159174133 -0.5832426646167641 -0.06901711045127756 -0.4417942060907609 native-country=Guatemala -0.31592534934376215 -0.8155878501125946 0.7738386973235087 -0.1312783025191755 0.9362788101261783 0.3709650821228496 -0.22881289689068396 0.09035549424449707 -0.2927879493375751 0.663065314123138 native-country=Nicaragua 0.9045489635040447 -0.3934122152961681 -0.714683284565679 0.5523671312535792 -0.794292146709981 0.6078802557588185 0.11512820509474886 -0.6915766684486129 -0.6909354994565078 0.5740545108306201 native-country=Scotland -0.3021673498451889 0.4098485239442553 -0.6770436878348016 0.03944003710208288 -0.6863384410431057 0.06562280181056046 0.4267581009280428 0.19722506475796386 -0.10502387578715022 -0.033995323077206985 native-country=Thailand 0.09883716969470657 0.6278780363107002 -0.43155194797084895 -0.09216327538545444 -0.2927812388437421 -0.9713500201118879 0.05571275956354871 0.8479473788696557 -0.8158953711910342 -0.15538165502359313 native-country=Yugoslavia 0.018608568897862554 0.611936931954532 -0.6678305400537101 0.20150409369689704 0.6449275243429133 0.8139872998135567 0.25768325729457975 0.4507169573433829 0.019275456360910104 0.4773375349790794 native-country=El-Salvador 0.6565094274957826 0.9838065844290089 -0.5584271968299859 0.37217803381753867 -0.23570193503578674 0.33502233438508267 -0.7632561585787658 0.5067785528001434 0.7062948673820884 0.19048002251703644 native-country=Trinadad&Tobago -0.7200585023684727 -0.8425787329977061 -0.12467533618752413 -0.8551282748751903 -0.07003021469038817 -0.6717578400420876 -0.5335995824351611 -0.5806790524527443 0.7821676126597259 -0.5443746698483032 native-country=Peru 0.7515101131863535 0.9681560802605829 0.15378463245093532 -0.7514045420243971 0.7002806862305475 0.6420319724645993 0.8528191106961183 0.05974866226884212 0.2151672754015863 0.7285874619497361 native-country=Hong -0.5600752009444352 -0.07709186432563975 -0.1498644758883061 -0.6809864176694136 0.25920109712073525 -0.22300445186499673 -0.24768472532890318 0.1675613687669888 0.7673888667115054 -0.5473500759224263 native-country=Holand-Netherlands Hidden Weights: 0.7978856272195196 -0.8047106417458996 0.3989078113661424 -0.3445249367181453 -0.2383391654168634 0.600990935123251 0.2750679607942861 0.46814233953513495 -0.9042726502278506 -3.0149030621151596E-5 -0.8258490337670212 -0.23737480332654193 -0.9101094610170164 -0.11434720296938083 -0.49260009083692236 -0.7276637302533393 0.3393561602053021 -0.25591091863103643 -0.6429692851021624 -0.3292570810692612 >50K <=50K Error sum for iteration 100 = 960.2542925706939 Error sum for iteration 200 = 987.6316313145688 Error sum for iteration 300 = 1016.9173879695836 Error sum for iteration 400 = 1022.1133495351351 Error sum for iteration 500 = 1012.3177771030921 Error sum for iteration 600 = 998.8407064437401 Error sum for iteration 700 = 986.7223526314863 Error sum for iteration 800 = 977.1146067404617 Error sum for iteration 900 = 969.6964245020514 Error sum for iteration 1000 = 965.0656603899424 Error sum for iteration 1100 = 966.3734153462483 Error sum for iteration 1200 = 968.8706911430904 Error sum for iteration 1300 = 971.8317757840853 Error sum for iteration 1400 = 975.0635594153576 Error sum for iteration 1500 = 978.4447488679588 Error sum for iteration 1600 = 981.9068367848809 Error sum for iteration 1700 = 985.4033524658236 Error sum for iteration 1800 = 988.8707757196404 Error sum for iteration 1900 = 992.2873661911539 Error sum for iteration 2000 = 995.6302471251976 Error sum for iteration 2100 = 998.8802913032274 Error sum for iteration 2200 = 1002.0345439787983 Error sum for iteration 2300 = 1005.0900403834669 Error sum for iteration 2400 = 1008.0463767251971 Error sum for iteration 2500 = 1010.9058610060804 Error sum for iteration 2600 = 1013.6794955049477 Error sum for iteration 2700 = 1016.3752726958613 Error sum for iteration 2800 = 1019.0003831770945 Error sum for iteration 2900 = 1021.5652598087157 Error sum for iteration 3000 = 1024.0772319450998 Error sum for iteration 3100 = 1026.5427853441279 Error sum for iteration 3200 = 1028.967588449068 Error sum for iteration 3300 = 1031.3573329036096 Error sum for iteration 3400 = 1033.71689592932 Error sum for iteration 3500 = 1036.0500368921728 Error sum for iteration 3600 = 1038.363081744215 Error sum for iteration 3700 = 1040.6590220953053 Error sum for iteration 3800 = 1042.9403510618854 Error sum for iteration 3900 = 1045.209718260925 Error sum for iteration 4000 = 1047.4694585669174 Error sum for iteration 4100 = 1049.719955714938 Error sum for iteration 4200 = 1051.9627968177288 Error sum for iteration 4300 = 1054.1976822184579 Error sum for iteration 4400 = 1056.4244063319916 Error sum for iteration 4500 = 1058.6432212247191 Error sum for iteration 4600 = 1060.8540022003683 Error sum for iteration 4700 = 1063.0565290799802 Error sum for iteration 4800 = 1065.2507531954366 Error sum for iteration 4900 = 1067.4367811814302 Error sum for iteration 5000 = 1069.6142082769825 Error sum for iteration 5100 = 1071.7824293055623 Error sum for iteration 5200 = 1073.9399547609285 Error sum for iteration 5300 = 1076.0856410312697 Error sum for iteration 5400 = 1078.2194462959399 Error sum for iteration 5500 = 1080.3397652703009 Error sum for iteration 5600 = 1082.4457326659985 Error sum for iteration 5700 = 1084.5363150578937 Error sum for iteration 5800 = 1086.6109461050617 Error sum for iteration 5900 = 1088.668550255551 Options: -I 6000 -H 10 -E 0.0001 -M 0.0001 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 10 Number Output Nodes: 2 -I 6000 -E 1.0E-4 -S 1708355992 -H 10 -M 1.0E-4 Input Weights: -0.896506391878102 -0.9110007293482699 -0.876992221256114 -0.4309187371646345 -0.9039787507444628 0.5430786412586409 0.8017683498846476 -0.35507927149088925 0.7737947874926083 -0.8679825013511314 age -0.5122517434151274 0.452821685706906 0.11954320540901067 -0.8099500960914138 -0.3642949478457924 -0.8410126351788632 0.5055170499519257 -0.0012111723239779857 0.15650852651348848 0.15659622982639582 workclass=Private -0.5880030871984958 0.4817304037339874 -0.37847003628130094 0.222884587154485 0.05869360045896263 -0.8461488470811782 -0.1441481216944868 -0.2630944679300721 -0.5851538243559756 0.9553135782537042 workclass=Self-emp-not-inc 0.909573702255389 -0.8383467846657024 -0.4329821687860047 -0.21431147700720912 -0.4651927816815807 0.1938758412885764 0.01967260800225755 0.2962825308528472 0.30976691470831025 0.02714476482708789 workclass=Self-emp-inc 0.02189352886960383 -0.74338124442159 -0.961509109889501 0.42554838594983585 -0.2563440726725934 -0.945967066945475 -0.3477217298543847 0.26912519888584363 0.10423175300009566 0.361353594930609 workclass=Federal-gov -0.6964101136029053 -0.625271072463968 -0.2581552699373363 -0.20202959388567884 -0.7225736159649011 -0.7682748736568212 0.07199546506257698 0.42434140702430456 -1.1489094463017102 0.5747047346701512 workclass=Local-gov 0.8144561863819365 -0.23520022616460565 -0.4314912948116851 -0.5180031369875855 0.16168629494419567 -0.49187550843042827 0.14920488050867545 0.3460800231081524 -1.0680170395892477 0.32555150112805664 workclass=State-gov -0.8485402912617993 -0.41025527884581553 0.3393991480130881 0.5711471177284638 0.9090280825311873 0.25001617353671934 -0.4151133648047497 -0.1539148348479194 -0.4183511461454126 -0.5714604939248331 workclass=Without-pay -1.0042504838020279 0.8187418434046246 1.0027983467776609 0.5186328517755145 -0.3219155673049529 -0.8868951557686653 0.23006146616235035 -0.8423602144822883 0.23242384061855217 -0.8152664867520958 workclass=Never-worked 0.9507199479062198 0.19075573903474938 0.24178157549699628 0.11935729410532048 0.23461111283046449 0.8066239864173695 -0.8630725617436832 0.956465572445188 -0.11007322208303778 -0.3707728225976312 fnlwgt -0.041118555013058194 -0.6250566195309889 0.9273325686233178 -0.3680296060945593 -0.3293764025861616 -0.47420138074694157 0.14598263649544257 0.8642107395026337 0.33429857018969544 -0.6416780032011735 education=Bachelors 0.15635919393277534 0.6185211206854159 0.6060418480420635 -0.27862006822730845 0.4754410712470913 -0.40191117025585293 0.08161323621762029 -0.2290617153245811 0.36096217403291186 1.052734685431742 education=Some-college 0.4395576130860906 1.0751318224707722 0.8355668907647718 0.928374098323521 0.6498416768765444 0.47483845185423756 0.9731015884352057 0.25449949806698124 0.2467553754401266 -0.7419438838918071 education=11th -0.2555258505311322 -0.2950709006512635 0.2258667194080133 -0.8456180261178101 -0.3705430005141712 0.31847225556218217 -0.5613598258253756 -0.7271267126628973 -0.3804116929160706 0.8635414015642375 education=HS-grad -0.07612829062792427 0.21892558297088974 -0.24892574496075404 -0.7792890003922633 -0.45909916584651916 -0.7214266753330739 0.33669016971804666 -0.19902550218687107 0.8060194448695015 -1.029633209655806 education=Prof-school 0.7529412217358145 -0.3435989765541783 -0.39012119082349705 0.038596324578596006 -0.9467636691987056 -0.6218076284897083 0.9771265098263077 0.7389281180917029 -0.4952287139889243 0.7818487912059175 education=Assoc-acdm -0.34769722267531034 0.43235593553029716 0.8527312788113192 -0.5009084425082714 0.4642045717981134 -0.2606622915690673 0.757175333032548 -0.5133724817191664 0.5403596876984891 0.09082963367346042 education=Assoc-voc -1.2293849794029137 0.06938955493372487 -0.337427015835592 -0.7308044552110882 -0.39834979969939954 0.7940271187411647 0.2661544858618237 -0.5843926546466177 -0.41223067145027004 0.7921150495193768 education=9th -0.7685316540652929 0.5363949964068212 -0.22371994898361675 0.6258764004830127 1.0780835090477012 -0.11534244018478228 0.7266336488206744 -0.9448356732980715 -0.20553468370988737 -0.35445287431204275 education=7th-8th -0.5404316054702684 0.35721353323157645 -0.05714189399125464 0.06633392734914968 0.01361652247453217 -0.8425033493698292 0.4935626158409067 -0.3575847921842753 0.3694354180030607 1.0494288608533333 education=12th -0.8173959652694313 -0.6079600392974525 -0.8333962099050214 -0.5064851176910082 0.3966657909241841 0.11695676058336131 -0.9227975716372103 -0.20684292936232385 0.4066013372492134 -0.25178756796197727 education=Masters -0.7669759363545776 -0.8519128306432365 0.5899397927921175 0.5672838478673966 -0.05406943773510155 -0.12192634001635463 0.7566404066194431 -0.1339286302430231 -0.1497733736629519 0.6591411084654365 education=1st-4th 0.5066471662740438 0.6897024226237607 -0.05340525256445667 0.9292269406355651 0.834002207630027 -0.48964588952723936 0.6683249753438381 -0.8446580574641971 -0.09384610930533796 1.1269356764883163 education=10th -0.36436023024639064 0.28150075341800246 0.12144968297325145 -1.1431452234281918 -0.8906976322305018 -0.25390792886413677 0.7115152760389107 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0.5946010973599979 1.0654589222599735 -0.47045609983323905 0.3883104209650026 -0.20652857467921878 0.3364278493688004 -0.7422749745938536 0.5194368515556197 0.6399321211097406 0.2171949621681193 native-country=Trinadad&Tobago -0.7691849646786786 -0.7724856891336823 -0.05719295889845367 -0.8447813924049046 -0.044549530380759775 -0.6740065712486788 -0.5122483790682834 -0.572958555236963 0.7488987692123052 -0.528902804072515 native-country=Peru 0.7189125958411936 1.014069631751159 0.2023092892488801 -0.7479493263568558 0.7212539247561086 0.6381631725458466 0.8743602096272357 0.06575252297654582 0.18586981344166317 0.7418302185462192 native-country=Hong -0.5912766769316848 -0.0320768764520496 -0.10456300357890087 -0.6784317064059748 0.2797436079370906 -0.22763481081391562 -0.2259725219319142 0.17353484005090472 0.7403565276642681 -0.5356756389227753 native-country=Holand-Netherlands Hidden Weights: 1.236324219565675 -1.0108601104857382 -1.2943080147501165 1.425373631503444 -1.3491149621944802 1.5868460582141175 -0.7860589429216788 1.007543310238153 -1.0627623549567347 0.2807129242001958 -0.4936181236886222 0.31133640477680946 -0.1461531217514388 -0.4380638624966385 -0.9754092497361001 0.07622959715560121 1.7443195472827107 -1.8352069173119532 -0.9877012510997839 0.6954013146350092 >50K <=50K === Error on training data === Correctly Classified Instances 4183 83.4098 % Incorrectly Classified Instances 832 16.5902 % Mean absolute error 0.2791 Root mean squared error 0.3437 Relative absolute error 75.5727 % Root relative squared error 80.0038 % Total Number of Instances 5015 === Confusion Matrix === a b <-- classified as 678 547 | a = >50K 285 3505 | b = <=50K === Error on test data === Correctly Classified Instances 13565 83.318 % Incorrectly Classified Instances 2716 16.682 % Mean absolute error 0.2815 Root mean squared error 0.3466 Relative absolute error 77.0805 % Root relative squared error 81.5916 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 2122 1724 | a = >50K 992 11443 | b = <=50K