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Experiments
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:
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0.8643208645933391 -0.884960465618011 -0.2551695870002004 -0.22256639167874637 -0.47823041633681007 0.3249764737011749 0.016590326792103705 0.2829383639362322 0.14731260041987415 0.18604540657759894 workclass=Self-emp-inc
-0.11616361720001267 -0.7092522404837758 -0.9356893482656814 0.48802771640574116 -0.2174202063246864 -0.8456222012237706 -0.39319452378126707 0.2711872108650668 -0.12982137166677377 0.4590936106258918 workclass=Federal-gov
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0.9619303554867364 -0.72770295598789 -0.9123511932412249 -0.6630714217338058 0.10563803132325456 -0.5539683426527751 0.14714320785668655 0.2961231145067249 -0.7349884155467841 -0.005873585861070341 workclass=State-gov
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0.9860708826375688 0.13200388084956272 0.17088625091656517 0.12810764716438539 0.21658196377552796 0.8155360663027529 -0.8970709180005854 0.9437402015441727 -0.07115443323470849 -0.3883189874563435 fnlwgt
0.22735289861438224 -0.9572679457087274 0.6980347518553287 -0.408995243177418 -0.3350338195561062 -0.5084406944982423 0.13277654011286955 0.7095444629364935 0.7772284866823005 -0.8086278458622587 education=Bachelors
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0.4889217019460401 0.7926193918662059 0.7582529073460635 0.1455314457652921 -0.9565167792794638 -0.4768669754510404 0.025389701713582458 -0.03971296259783008 -0.7533262762861406 0.32319335054527043 native-country=Italy
-0.16370958398720603 0.16669138932304017 0.3886287650444309 0.5089022072182994 0.05891107517767691 0.9299925014953598 0.9035019875276602 0.712079061498669 -0.3821167165587531 0.6815690181017753 native-country=Poland
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-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 -0.556504024823879 0.5585244677802252 0.4979079992080134 education=Doctorate
0.6721168680880018 1.0062516300365443 0.4341023414010881 0.19021539237636764 -0.6294238362357301 -0.34778502288526186 -0.0290504987651227 0.7796558580937059 0.38018863228596333 -0.29913763388223374 education=5th-6th
-0.001363142711220571 0.803992435240685 0.6707206055193452 -0.4213050226549512 0.9453181874099211 0.759376572680407 -0.9530288762158002 -0.6768356795173955 0.7118432616893436 -0.8540291968746857 education=Preschool
1.4487636201735923 -0.4404242022536564 -1.503350129550848 -0.8092315831126297 -0.9624013038743052 0.4920459433509112 0.5378341373555984 0.15740327109915497 0.6705976530876129 -1.3001524202267871 education-num
-0.12488741216398257 -1.5545342460046372 -0.7725013140663619 0.09050996192314958 -0.07927226277357981 -0.20953472227116307 0.21710534826590439 -0.6847075728686015 -0.12367155964619045 -0.0950959017001564 marital-status=Married-civ-spouse
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0.46310632882200137 1.0055655964538475 -0.0479333341210392 0.09700883090508423 -0.7607798510210537 -0.72193007885777 0.8490494756780006 0.16781795744807718 -0.4825349324559926 0.3018416720674713 marital-status=Married-spouse-absent
0.1017595836651651 0.32024320261744976 0.6531824759078996 0.9541161320784266 0.5975591515533032 -0.7595389720314191 0.518886661369049 -0.28724534094513837 -0.2624467058946692 0.07977132488284319 marital-status=Married-AF-spouse
0.7398990199092172 -0.93261724995192 -0.4139402492584009 -0.13180686819392695 -0.7519426876350347 0.6240141528734058 0.908940202876857 0.42550896584467773 -0.16112189291020865 -1.0152543484901777 occupation=Tech-support
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0.6857059216159499 0.6071859466774974 0.05958411237641661 0.5067682946634431 -0.40706257877110835 -0.4671478640890731 0.41891561335834626 0.6825741349993165 -0.796402596034608 0.1434616495914985 occupation=Other-service
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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
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0.7189125958411936 1.014069631751159 0.2023092892488801 -0.7479493263568558 0.7212539247561086 0.6381631725458466 0.8743602096272357 0.06575252297654582 0.18586981344166317 0.7418302185462192 native-country=Hong
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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
|
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