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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.13387304349050222 -0.32774006216245644 age
-0.9402874603892206 0.8578799043449603 workclass=Private
0.4786090803945302 0.6632234910310071 workclass=Self-emp-not-inc
-0.14383250830574634 -0.6062991461227611 workclass=Self-emp-inc
0.08735687817797388 0.2572343656877836 workclass=Federal-gov
-0.30482941415925646 0.4630015385866766 workclass=Local-gov
0.676009520228908 0.7277052939506718 workclass=State-gov
0.5557115345498003 0.9262980579965574 workclass=Without-pay
-0.6987714395769089 0.636263406585674 workclass=Never-worked
0.47259190269864293 -0.09949274227764882 fnlwgt
-0.7029977754381149 0.4989130845931342 education=Bachelors
0.5688160354991301 -0.08789418876850785 education=Some-college
0.2345067254564368 0.9920396995378795 education=11th
0.8975783197899183 -0.4370382346586479 education=HS-grad
-0.9692303176247954 -0.8462469286156729 education=Prof-school
0.15578221994389896 0.765474607930112 education=Assoc-acdm
-0.8104166810401712 0.46829485946122773 education=Assoc-voc
-0.5339874014109851 0.3436888271835401 education=9th
-0.7711682739953352 -0.818337271150634 education=7th-8th
-0.18050928699249558 -0.9103137759315465 education=12th
0.34477291879317495 0.5387416128986087 education=Masters
0.4385324241297852 -0.7647939747363794 education=1st-4th
-0.7825084172678247 0.6783552200269987 education=10th
-0.26807338376752354 0.9912289817401816 education=Doctorate
-0.7768947363946395 -0.036236594610202566 education=5th-6th
-0.8722907325086213 -0.7139170682891411 education=Preschool
0.05650413791111131 0.8220068813478763 education-num
-0.20894540379508264 0.27712373539049273 marital-status=Married-civ-spouse
-0.5286771879667151 -0.555345690405668 marital-status=Divorced
-0.04480461242075018 -0.4773933928292875 marital-status=Never-married
-0.6818755031595993 0.6621984076302052 marital-status=Separated
-0.3360596768347981 0.9981307188154629 marital-status=Widowed
-0.1671876830268011 -0.8893989692286672 marital-status=Married-spouse-absent
0.46774278447211803 -0.7360952323800314 marital-status=Married-AF-spouse
0.9392095466812311 -0.4039391847592477 occupation=Tech-support
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0.6454632027706437 -0.06350846838451107 occupation=Other-service
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0.11506209410860091 0.08771652746580716 occupation=Exec-managerial
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-0.9197876133811336 -0.909976288060516 occupation=Handlers-cleaners
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-0.44277803222858103 -0.6937514225090957 occupation=Adm-clerical
0.3475851644344845 -0.8399227518577037 occupation=Farming-fishing
-0.34169941117007685 -0.9555206141965962 occupation=Transport-moving
0.9314379937102815 0.2305721254112567 occupation=Priv-house-serv
0.22842387940617015 0.4140695105192589 occupation=Protective-serv
0.3968412721092691 0.8725209857835439 occupation=Armed-Forces
-0.6549696779593415 -0.9310816265782449 relationship=Wife
-0.23648142830414698 -0.0320558167129672 relationship=Own-child
0.8964587276799898 0.2317040148847569 relationship=Husband
-0.39690427447226573 -0.9163560578643619 relationship=Not-in-family
0.7150818587325887 -0.5795607217277192 relationship=Other-relative
-0.6059873034161702 -0.16966858307315946 relationship=Unmarried
0.5146890235879213 -0.06336158962610439 race=White
-3.1852081420913336E-4 -0.3892446908433176 race=Asian-Pac-Islander
0.3192092681805636 -0.7864566912349673 race=Amer-Indian-Eskimo
-0.14619438775721827 0.8909287654403899 race=Other
-0.45951412206255493 -0.6769680499638713 race=Black
0.03306733174137033 0.2429711365909366 sex
0.4544031344256161 0.529528070418763 capital-gain
-0.1031235492264535 0.5458134106947301 capital-loss
0.8438704074005416 0.9557246513596593 hours-per-week
0.23007885793584615 -0.4897949247319897 native-country=United-States
-0.9506259817799307 -0.14577013304442588 native-country=Cambodia
0.6597039632922237 0.45499876052859034 native-country=England
-0.162842471119085 0.2961174016799961 native-country=Puerto-Rico
-0.17799229108715542 -0.44079075475855256 native-country=Canada
0.32447437279294267 -0.6046774519823104 native-country=Germany
-0.40899344223156353 0.9242478444865598 native-country=Outlying-US(Guam-USVI-etc)
0.8724162934383293 -0.44085907924226153 native-country=India
0.3729112336570317 -0.8028489910060193 native-country=Japan
0.26994382690455243 -0.7692279473774537 native-country=Greece
-0.2803736395056058 -0.5585474616668806 native-country=South
0.8070765812102758 0.6796700357496794 native-country=China
-0.5152045720542102 -0.17077318950633136 native-country=Cuba
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0.9290267800454586 0.3233811933031687 native-country=Philippines
-0.38473526277082426 0.12033039164581982 native-country=Italy
0.7690817656503433 0.7481927818273493 native-country=Poland
-0.7636338820839041 -0.3569830398052154 native-country=Jamaica
-0.8389359870515138 -0.6288085713882379 native-country=Vietnam
-0.05638723732999318 0.7518081285339593 native-country=Mexico
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0.17576506249951862 0.11993464597193615 native-country=Ireland
-0.36942714583630476 0.7380571750617753 native-country=France
-0.9407813461974055 0.6228496858371488 native-country=Dominican-Republic
0.02966907904595617 -0.827426990505854 native-country=Laos
0.47699738900837385 -0.4014896927585634 native-country=Ecuador
0.2938246319373148 0.7560528802952458 native-country=Taiwan
-0.9784954109199986 0.26207814578789246 native-country=Haiti
-0.5366394924178777 0.2541924985633166 native-country=Columbia
-0.8187396614732205 -0.37032769217544415 native-country=Hungary
-0.6546943708435149 0.658289057254861 native-country=Guatemala
-0.946399753024272 -0.9315811727144927 native-country=Nicaragua
-0.11250901674835223 -0.3033677532335879 native-country=Scotland
-0.6977076571222172 0.4892487164107975 native-country=Thailand
-0.37900344420086585 -0.05562919225371621 native-country=Yugoslavia
-0.21774920629497507 0.2913425554899738 native-country=El-Salvador
-0.9610640676831863 -0.2899984462522667 native-country=Trinadad&Tobago
0.9927616914993662 -0.7718076865157826 native-country=Peru
-0.8794569071299831 0.5897377926022087 native-country=Hong
0.524396374289311 -0.6109062250738073 native-country=Holand-Netherlands
Hidden Weights:
0.13034210335338514 -0.810617327194026
-0.8732281026377231 0.18036773906706305
>50K <=50K
Error sum for iteration 100 = 68.87045613167103
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.3578173386045288 -0.28694085554842175 age
-1.0400019582224291 1.366909163863385 workclass=Private
0.39782126385817224 0.7641888326697447 workclass=Self-emp-not-inc
0.039568243203703626 -0.6568339770140537 workclass=Self-emp-inc
0.24127724660470504 0.24339411400520092 workclass=Federal-gov
-0.40963540259285675 0.5856043893438575 workclass=Local-gov
0.768590990680572 0.7522261716906352 workclass=State-gov
0.5660396979487122 0.9757797185023097 workclass=Without-pay
-0.6884432761779969 0.6857450670914264 workclass=Never-worked
0.4882062736437276 -0.027613627170157782 fnlwgt
-0.13639942112454478 0.4269324509780803 education=Bachelors
0.43885838828602813 0.08341398242451349 education=Some-college
0.06964939999371272 1.1026254059868388 education=11th
0.16895371548751767 0.005552220928542002 education=HS-grad
-0.8362206406490533 -0.8733233123488071 education=Prof-school
0.20136784273417457 0.8357646481612558 education=Assoc-acdm
-0.6291379230260802 0.48672211757249567 education=Assoc-voc
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-0.7395063898125948 -0.7621069677273751 education=7th-8th
-0.16029270046689562 -0.8723294985258385 education=12th
0.5963992409408602 0.5370133823586442 education=Masters
0.39584784566395953 -0.6891522333086989 education=1st-4th
-0.8194432137281901 0.7614035015721555 education=10th
-0.06606944838818268 0.9990640456096336 education=Doctorate
-0.7960913199625659 0.03541833778098757 education=5th-6th
-0.8638266622773649 -0.6601165038009029 education=Preschool
0.6772372303152758 0.9146244145888024 education-num
0.8806291524961879 -0.07606215247020891 marital-status=Married-civ-spouse
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-0.7493389190200278 0.08005802308307715 marital-status=Never-married
-0.7109058607359957 0.7470329145698568 marital-status=Separated
-0.37981843350811634 1.0758616937299248 marital-status=Widowed
-0.19813731152085512 -0.7952355091673217 marital-status=Married-spouse-absent
0.469096419776093 -0.681141033750518 marital-status=Married-AF-spouse
0.9386936422011847 -0.3404383973594441 occupation=Tech-support
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0.7853853205243561 -0.06244171280079695 occupation=Exec-managerial
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-1.0431633535272997 -0.7704054417625342 occupation=Handlers-cleaners
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-0.5355832693641693 -0.5439135863357628 occupation=Adm-clerical
0.2771971672761337 -0.7561600249754109 occupation=Farming-fishing
-0.647867741760687 -0.7728117796516265 occupation=Transport-moving
0.9417661571091934 0.2800537859170035 occupation=Priv-house-serv
0.24775253706151315 0.45302743755925245 occupation=Protective-serv
0.39063010704977214 0.9255089994777963 occupation=Armed-Forces
-0.3119079541751944 -1.0088982802397388 relationship=Wife
-0.5856466924068197 0.25153591984973617 relationship=Own-child
1.646642432284661 0.002869638474550587 relationship=Husband
-0.7880318654804087 -0.4956558357820886 relationship=Not-in-family
0.6373506400794869 -0.4836323212039987 relationship=Other-relative
-0.7366143704563779 0.029505334910255903 relationship=Unmarried
0.5378091242220543 0.2666023080036755 race=White
0.2103434915109119 -0.3983775744512126 race=Asian-Pac-Islander
0.29429567626388137 -0.7141555875168146 race=Amer-Indian-Eskimo
-0.15891939706400698 0.9511356745554561 race=Other
-0.5213915096125714 -0.4870454902442871 race=Black
0.189970195928812 0.42272217474840645 sex
0.4742595998639157 0.573957168471603 capital-gain
-0.015140930926669691 0.5658274930110562 capital-loss
1.0821558996304517 1.0488680452811554 hours-per-week
0.30242408286250216 -0.04644386420062641 native-country=United-States
-0.9065381978601148 -0.11332249871706818 native-country=Cambodia
0.6562503990275889 0.5102900783307309 native-country=England
-0.17467244126653825 0.35081172883782424 native-country=Puerto-Rico
-0.1542539317524689 -0.3995959877277743 native-country=Canada
0.3313393935446106 -0.5482888280624284 native-country=Germany
-0.3986652788326587 0.9737295049923121 native-country=Outlying-US(Guam-USVI-etc)
0.9100251586352021 -0.40534126129744497 native-country=India
0.38323939705593657 -0.7533673305002669 native-country=Japan
0.2802719903034573 -0.7197462868717014 native-country=Greece
-0.2274024450698812 -0.5257844965988162 native-country=South
0.8174047446091878 0.7291516962554317 native-country=China
-0.5237648229169268 -0.11496609582083787 native-country=Cuba
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0.9210975579955863 0.37932972958871025 native-country=Philippines
-0.37771078392505414 0.1729818515387116 native-country=Italy
0.7458164019782558 0.804358915602948 native-country=Poland
-0.7539968885969761 -0.3030042432607685 native-country=Jamaica
-0.8286078236526019 -0.5793269108824856 native-country=Vietnam
-0.0877756667658379 0.8234949044819333 native-country=Mexico
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0.1860932258984251 0.16941630647768086 native-country=Ireland
-0.3634702795405874 0.7898438416907374 native-country=France
-0.9318746641073934 0.675277717362115 native-country=Dominican-Republic
0.033956876519343565 -0.7722984128553515 native-country=Laos
0.46895255262835933 -0.34456735597450905 native-country=Ecuador
0.33484686680535103 0.8014659732627883 native-country=Taiwan
-0.9686390402595211 0.3150471006429141 native-country=Haiti
-0.526943751470056 0.3057785781563622 native-country=Columbia
-0.8084114980743086 -0.3208460316696976 native-country=Hungary
-0.6443662074446029 0.7077707177606133 native-country=Guatemala
-0.9360715896253601 -0.8820995122087404 native-country=Nicaragua
-0.10218085334944857 -0.25388609272784135 native-country=Scotland
-0.6602572193894508 0.5240287949496655 native-country=Thailand
-0.368675280801961 -0.006147531747973405 native-country=Yugoslavia
-0.20968003645920175 0.3431094007560553 native-country=El-Salvador
-0.9507359042842743 -0.2405167857465233 native-country=Trinadad&Tobago
1.0030898548982556 -0.7223260260100303 native-country=Peru
-0.8691287437310712 0.639219453107961 native-country=Hong
0.5347245376882229 -0.561424564568055 native-country=Holand-Netherlands
Hidden Weights:
1.6590303360054632 -1.816261302114848
-0.6298470393441742 0.157838486783928
>50K <=50K
Error sum for iteration 200 = 67.64903733714847
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.4144628099253776 -0.2857493464268718 age
-0.8365980936842091 1.3455089424158935 workclass=Private
-0.07360188171261152 0.8655971440513729 workclass=Self-emp-not-inc
0.20712322712529596 -0.7226508525985655 workclass=Self-emp-inc
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0.5129831706348645 -0.020976352997716458 fnlwgt
0.24769538104319855 0.35149063653323526 education=Bachelors
0.1286333457680052 0.11702955596868349 education=Some-college
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0.5964970523453532 0.5558173901226067 education=Masters
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0.21877556045006508 0.9710979782520892 education=Doctorate
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1.3209002091562152 0.8176961611385067 education-num
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-0.4446663613435425 0.4877943290824013 sex
0.48665535887884526 0.5699439930702914 capital-gain
0.20120614793780425 0.5266658437427271 capital-loss
1.271822730408884 0.9996823881374314 hours-per-week
0.22914149344947016 0.009730953499984495 native-country=United-States
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0.6146288336167711 0.5146889737892953 native-country=England
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0.31468931488341256 -0.5443687042538972 native-country=Germany
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0.6675211402268741 0.8095459852316846 native-country=Poland
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0.17535175871778572 0.17137101761116566 native-country=Ireland
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0.4184888728048721 -0.33435949800258724 native-country=Ecuador
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0.9923483877176252 -0.7203713148765577 native-country=Peru
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Hidden Weights:
2.7016608419101527 -2.727911730016747
-0.81561355440203 0.37385659422564715
>50K <=50K
Error sum for iteration 300 = 66.89149203868824
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.4940668880484159 -0.3113814514468366 age
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1.5713342259492262 0.7439898265651381 education-num
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0.41982015242709475 -0.6716653073898323 marital-status=Married-AF-spouse
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0.504304669854433 0.5597524279034403 capital-gain
0.4988094117321148 0.46703766140713426 capital-loss
1.4388659668276929 0.9314850726372427 hours-per-week
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Hidden Weights:
3.2135676237124837 -3.2296839430362927
-0.9456822110626918 0.5613079672023638
>50K <=50K
Error sum for iteration 400 = 67.88322164485592
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.5743986664327908 -0.33816038921862884 age
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Hidden Weights:
3.538845950586197 -3.554750372245527
-1.0089897112737527 0.6897401956883479
>50K <=50K
Error sum for iteration 500 = 69.5357529085669
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
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0.5293410640657881 0.5421131020619386 capital-gain
1.1472963544369397 0.32332969614964524 capital-loss
1.4845368109865535 0.8244265235537624 hours-per-week
0.21956513391791246 0.0597907056396226 native-country=United-States
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Hidden Weights:
3.8527089790418803 -3.8653651468155554
-1.0605650000928735 0.8043288784177007
>50K <=50K
Error sum for iteration 600 = 70.65769798363903
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
4.160743810363717 -4.168146095522326
-1.1164809765161512 0.9151491240149181
>50K <=50K
Error sum for iteration 700 = 71.25867941396268
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8448991754651626 -0.38124286383117373 age
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Hidden Weights:
4.431705430353542 -4.434160930388137
-1.1711696106438325 1.0133343350217583
>50K <=50K
Error sum for iteration 800 = 71.59627313513955
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
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1.1601937485742753 -0.14830973970338734 marital-status=Married-civ-spouse
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-0.3004385951904867 0.18745006445670137 sex
0.5640307772709469 0.5282134027136123 capital-gain
2.095766432557079 0.11632537382632223 capital-loss
1.2724173403603267 0.747810440554023 hours-per-week
0.10512542909112338 0.21472547423733926 native-country=United-States
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Hidden Weights:
4.660671215982184 -4.6592671670947245
-1.2246976111384489 1.0999334845568036
>50K <=50K
Error sum for iteration 900 = 71.76960609146059
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8972958912085479 -0.34600241297485823 age
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0.4637890269427903 -0.5591985403071112 native-country=Holand-Netherlands
Hidden Weights:
4.8544691444785295 -4.850386071544428
-1.2787639474473664 1.1790448075400304
>50K <=50K
Error sum for iteration 1000 = 71.83295141247048
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8978296607779995 -0.31755401586685195 age
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1.3938774866061203 0.6698759661627925 education=Doctorate
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2.1973567080690177 0.4441983295644663 education-num
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0.5853033950933942 0.5209269078680873 capital-gain
2.502756533230181 0.03500133743961366 capital-loss
1.1624466454673819 0.7148348399474783 hours-per-week
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1.0585439280507816 -0.490025763096075 native-country=India
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0.6613293755465293 0.6754750482726201 native-country=Mexico
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0.1115282383213965 0.1739190345555086 native-country=Ireland
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0.5217580435852976 0.7679431359019442 native-country=Taiwan
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0.9285248673212484 -0.7178232979322519 native-country=Peru
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0.46015955011118026 -0.5569218364902766 native-country=Holand-Netherlands
Hidden Weights:
5.020235291014342 -5.01452644934389
-1.3337754874624617 1.2531914973887586
>50K <=50K
Error sum for iteration 1100 = 71.83496039338452
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8934473873223784 -0.2854645704426392 age
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0.37397991309853607 -0.045003347117106025 fnlwgt
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0.45719601943457033 -0.5548712307969139 native-country=Holand-Netherlands
Hidden Weights:
5.163212059046075 -5.156654073574907
-1.3907699708222532 1.3250133856212993
>50K <=50K
Error sum for iteration 1200 = 71.8120579409899
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8877377665961789 -0.2506091579387704 age
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Hidden Weights:
5.287710381196497 -5.2807948777529745
-1.4515351774974183 1.3974579773387132
>50K <=50K
Error sum for iteration 1300 = 71.75825463951459
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
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0.9279862424494572 0.6366790861318132 native-country=Mexico
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0.10425934330819175 0.1794938269656355 native-country=Ireland
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0.921255972308033 -0.7122485055221498 native-country=Peru
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0.4528906550979807 -0.5513470440801745 native-country=Holand-Netherlands
Hidden Weights:
5.397686706262634 -5.390716962887543
-1.5167162699230836 1.4719947250246537
>50K <=50K
Error sum for iteration 1400 = 71.65172471645351
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8783092774687485 -0.17446503525119952 age
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0.13760956763408838 -0.2699154399331103 race=Black
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0.6459789318695178 0.49820516074906346 capital-gain
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0.9603351842963215 0.6522945411402252 hours-per-week
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Hidden Weights:
5.496197276260504 -5.489375870340528
-1.5853450035631078 1.548232256245196
>50K <=50K
Error sum for iteration 1500 = 71.50934917897072
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8771457118867674 -0.1344263615710539 age
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2.610693652986521 0.3913058469612817 education-num
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Hidden Weights:
5.5849627412612035 -5.578425675514606
-1.6564450963056123 1.6255969335529352
>50K <=50K
Error sum for iteration 1600 = 71.36932208113126
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8788339623377944 -0.09343932788751093 age
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0.17075229092529645 -0.24658115000590963 race=Black
-0.22814382143059567 0.48852792505093295 sex
0.6800303518218822 0.48294354775374304 capital-gain
3.0175568956236876 -0.032084705326347725 capital-loss
0.8789418785334697 0.6206848866006479 hours-per-week
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1.0948773131665757 0.6190113271244976 native-country=Mexico
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Hidden Weights:
5.665036429112328 -5.658866781994209
-1.729973594573274 1.7043368918893664
>50K <=50K
Error sum for iteration 1700 = 71.25153652292607
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8826363707448255 -0.05127653699482409 age
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Hidden Weights:
5.737556453329106 -5.731801878260268
-1.8062536543777634 1.7849884441536121
>50K <=50K
Error sum for iteration 1800 = 71.16475412639807
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8877004856224598 -0.007676145946768068 age
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Hidden Weights:
5.803864260014928 -5.798550928371202
-1.8855157526487303 1.8679378227790502
>50K <=50K
Error sum for iteration 1900 = 71.1004041056232
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8933626744664328 0.037481563552409496 age
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2.777731960231848 0.39358681299926757 education-num
1.4175041054336242 -0.0650294295491452 marital-status=Married-civ-spouse
-0.31073389143404945 -0.5709349925756344 marital-status=Divorced
-0.8202348271880109 -0.10798110906870802 marital-status=Never-married
-0.8807470233616599 0.7530220776838658 marital-status=Separated
-1.5870032944459511 1.2455994495613574 marital-status=Widowed
-0.7385971374728626 -0.41452619682229735 marital-status=Married-spouse-absent
0.19003377682104605 -0.5430566923051288 marital-status=Married-AF-spouse
-0.07769834602372325 -0.12001485016645896 occupation=Tech-support
-0.2689038511457802 -1.138496594474226 occupation=Craft-repair
0.05994690078959301 0.41438000675575326 occupation=Other-service
-0.22114976948330986 0.24747844265032534 occupation=Sales
0.989726641992167 0.011665894966249325 occupation=Exec-managerial
-0.44826928509517544 -1.7857516287934305 occupation=Prof-specialty
-1.7635415014924756 -0.566549985312552 occupation=Handlers-cleaners
0.03785210529585005 -0.45824159559524713 occupation=Machine-op-inspct
-0.08739315350388482 0.7178023632589492 occupation=Adm-clerical
-0.2741091714773723 -0.9318648077954685 occupation=Farming-fishing
-2.0948058956022297 -0.5067914734377432 occupation=Transport-moving
0.8494399264491916 0.2984303607400612 occupation=Priv-house-serv
0.9039548107480777 0.17464631064904323 occupation=Protective-serv
0.288418370492435 0.9430392916989098 occupation=Armed-Forces
-0.020615119747576707 -1.4216690815111437 relationship=Wife
-1.586434012882775 0.2824655460255426 relationship=Own-child
0.7286517525563918 0.4191126600491792 relationship=Husband
0.3554465266576485 -0.42938709086283605 relationship=Not-in-family
0.3539824384172643 -0.039804896584550276 relationship=Other-relative
-1.2618066243953299 -0.25772063358462705 relationship=Unmarried
0.2594040303744313 -0.5301888431631212 race=White
0.5563500617511399 -0.16109799824834437 race=Asian-Pac-Islander
-0.5467542716431336 -0.3887955616182795 race=Amer-Indian-Eskimo
-1.3059046943796986 1.1620061498607988 race=Other
0.1988012606377524 -0.2248689437845088 race=Black
-0.2120164429729613 0.6482155341882228 sex
0.726528746662232 0.456777953307007 capital-gain
3.111933330749004 -0.018010220280018696 capital-loss
0.8130744116403511 0.5759812984083339 hours-per-week
-0.035916012530650666 0.43985840827815004 native-country=United-States
1.58183955482129 -1.0007194039050922 native-country=Cambodia
0.08608684156928356 0.6613678204359912 native-country=England
-1.6498437643528423 0.47572357941352456 native-country=Puerto-Rico
1.3348457850923838 -0.6689409358159742 native-country=Canada
0.08161161550134052 -0.39757389001340576 native-country=Germany
-0.49099150949265385 0.9921060798152785 native-country=Outlying-US(Guam-USVI-etc)
1.2352156233269722 -0.5370583928582717 native-country=India
0.2909131663959414 -0.7349907556773005 native-country=Japan
0.1879457596434801 -0.701369712048735 native-country=Greece
1.000663106226115 -0.8352344859005689 native-country=South
0.725078513949186 0.7475282710783981 native-country=China
-2.070617071689391 0.2541581921558428 native-country=Cuba
0.5246017775191204 0.49428938251436255 native-country=Iran
-0.2643825176271659 -0.29486462651651313 native-country=Honduras
-0.39932781079194607 0.597058440077078 native-country=Philippines
-0.4700688430891174 0.1875346025045433 native-country=Italy
-1.0172672628267547 0.9372566015043279 native-country=Poland
-0.8489845007834602 -0.269646164540684 native-country=Jamaica
-0.9209340543126037 -0.5609503360595192 native-country=Vietnam
1.2039289041066998 0.6139430795936625 native-country=Mexico
-1.4171500782189344 -0.217115443335836 native-country=Portugal
0.09376699523844992 0.18779288130073765 native-country=Ireland
-0.4591466626753368 0.8070434817242347 native-country=France
-1.023687510042714 0.6882382087493756 native-country=Dominican-Republic
-1.0784351761419715 -0.4093362064762341 native-country=Laos
-0.8406879380325686 0.08314537580771157 native-country=Ecuador
0.6611987045936718 0.7709636135755946 native-country=Taiwan
-1.0605380286650656 0.32689659986816905 native-country=Haiti
-0.6245734372982296 0.32695385309524705 native-country=Columbia
-0.9007377287343104 -0.3024694568466399 native-country=Hungary
-0.7366924381046047 0.7261472925835797 native-country=Guatemala
-1.0283978202853248 -0.863722937385774 native-country=Nicaragua
-0.1945070840094248 -0.23550951790477812 native-country=Scotland
-0.5093133732171157 0.446697658553423 native-country=Thailand
-0.46100151146195617 0.012229043075077967 native-country=Yugoslavia
-0.30191983385564064 0.3570235058125684 native-country=El-Salvador
-1.0430621349442395 -0.2221402109234665 native-country=Trinadad&Tobago
0.9107636242382571 -0.7039494511870639 native-country=Peru
-0.961454974391073 0.6575960279309274 native-country=Hong
0.4423983070282356 -0.5430479897450886 native-country=Holand-Netherlands
Hidden Weights:
5.865365001493215 -5.860504908902846
-1.9677820083011002 1.9533230119117135
>50K <=50K
Options: -I 2000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1625925991
-H 2
-M 0.01
Input Weights:
0.8991337757824552 0.0836432119700433 age
-0.3522620157582578 1.2368093619402456 workclass=Private
-1.3335225278177134 0.31772329493754675 workclass=Self-emp-not-inc
0.09471724021589199 -0.5423723394422689 workclass=Self-emp-inc
1.0302105147442655 0.44850158475909113 workclass=Federal-gov
-0.17076806485431265 1.500075109931574 workclass=Local-gov
-0.5844887050240286 0.37310267338003844 workclass=State-gov
0.47220155923258295 0.9956619321413387 workclass=Without-pay
-0.7822814148941517 0.7056272807304553 workclass=Never-worked
0.2882318376628002 -0.2514558171381358 fnlwgt
-0.46170354153440185 0.5361312492069796 education=Bachelors
-0.5142792120471741 -0.28784614644275597 education=Some-college
-2.2611587485736715 1.346401770897874 education=11th
-0.7053238149341454 -0.5027076428777786 education=HS-grad
2.1384449241776338 -1.7034476054661456 education=Prof-school
-0.4694198627520027 1.4354576752829458 education=Assoc-acdm
0.3692677573041826 0.5443920555318229 education=Assoc-voc
-1.5680716239669779 0.6881580154639614 education=9th
0.7760425210843233 -0.5808337651877353 education=7th-8th
0.9850559677856341 -1.7043678942809302 education=12th
-0.950439965805141 1.481398148254504 education=Masters
-1.0574759076375277 -0.15315918384979416 education=1st-4th
-1.3945838506930879 0.9204211443865123 education=10th
1.455204452437536 0.6626555032284435 education=Doctorate
-1.402353230924735 0.24392440264213272 education=5th-6th
-0.9715336343622212 -0.599885890702547 education=Preschool
2.800945693769317 0.40186671636211574 education-num
1.43254785902088 -0.09880843870343645 marital-status=Married-civ-spouse
-0.2862950045220954 -0.5408881083711826 marital-status=Divorced
-0.8297180635908762 -0.12404151291696199 marital-status=Never-married
-0.8824984491705783 0.7513582097241294 marital-status=Separated
-1.610018178835789 1.24739767528132 marital-status=Widowed
-0.758192299223566 -0.38329639924668435 marital-status=Married-spouse-absent
0.18171722383179514 -0.5320437366019839 marital-status=Married-AF-spouse
-0.08745054495310398 -0.15118483268878355 occupation=Tech-support
-0.26598096616914657 -1.1333836943014857 occupation=Craft-repair
0.05845167563932214 0.4109266586524677 occupation=Other-service
-0.20987804914776503 0.28946061794205874 occupation=Sales
0.9985652743167256 0.0825502395279812 occupation=Exec-managerial
-0.48389754711923344 -1.869765559681717 occupation=Prof-specialty
-1.7695061070072693 -0.5643830282861546 occupation=Handlers-cleaners
0.02570920994235767 -0.4853698876454007 occupation=Machine-op-inspct
-0.06102295654663346 0.7969699759680714 occupation=Adm-clerical
-0.28941911982314716 -0.9403811566015142 occupation=Farming-fishing
-2.090180113080427 -0.5089136497030742 occupation=Transport-moving
0.8479280183930387 0.29993599955612116 occupation=Priv-house-serv
0.8995866635017121 0.1622850143507145 occupation=Protective-serv
0.28730036676149306 0.944109092008155 occupation=Armed-Forces
-0.0814348538441273 -1.5028411995099544 relationship=Wife
-1.6053664912101768 0.2755691426915025 relationship=Own-child
0.7286678230206071 0.45615121606159964 relationship=Husband
0.3884789952717326 -0.36765750829830096 relationship=Not-in-family
0.3767993798706981 0.008497821124081142 relationship=Other-relative
-1.2590866052893372 -0.2956440251125252 relationship=Unmarried
0.2523033906121675 -0.5913078153723255 race=White
0.5680774702852742 -0.09996839101224425 race=Asian-Pac-Islander
-0.5658146588581213 -0.37956377112890277 race=Amer-Indian-Eskimo
-1.3164562197288885 1.1660732234045912 race=Other
0.20413159970000266 -0.21860513823581176 race=Black
-0.1998419087956048 0.692050337488811 sex
0.7410059926018396 0.44723038681073274 capital-gain
3.133751205272774 -0.009235661386861249 capital-loss
0.8039687857883967 0.5643683763214974 hours-per-week
-0.033731328978988 0.4292407882600138 native-country=United-States
1.683624029157749 -1.0346746565993143 native-country=Cambodia
0.07298548679341364 0.6675137285161662 native-country=England
-1.6895877314159917 0.4786342885896973 native-country=Puerto-Rico
1.3498138794179073 -0.6690618107191776 native-country=Canada
0.06747282524587536 -0.37913486418591147 native-country=Germany
-0.49250341754881194 0.9936117186313411 native-country=Outlying-US(Guam-USVI-etc)
1.2503765417586583 -0.5412886677274387 native-country=India
0.2894012583397833 -0.733485116861238 native-country=Japan
0.18643385158732126 -0.6998640732326724 native-country=Greece
1.0261645554007703 -0.8418368583689153 native-country=South
0.723566605893033 0.7490339098944607 native-country=China
-2.103326254899878 0.27581181125729537 native-country=Cuba
0.5367631054667082 0.49307563580549535 native-country=Iran
-0.2664660566353232 -0.29316193723534956 native-country=Honduras
-0.42948419551571965 0.6015616506860264 native-country=Philippines
-0.47157729427126543 0.18898598003403788 native-country=Italy
-1.0603716997295893 0.9401486572546576 native-country=Poland
-0.8504144027379141 -0.2687163874539984 native-country=Jamaica
-0.9224459623687566 -0.5594446972434566 native-country=Vietnam
1.2318433557572872 0.6143321358054148 native-country=Mexico
-1.4379851156589316 -0.21200843282094817 native-country=Portugal
0.0922550871822925 0.18929852011679635 native-country=Ireland
-0.46057321130123974 0.8084234228150272 native-country=France
-1.025133392206478 0.6891090807814685 native-country=Dominican-Republic
-1.1018726926073368 -0.3930914799689548 native-country=Laos
-0.8836339680106933 0.1045814865277335 native-country=Ecuador
0.6653366346516097 0.7723321705998749 native-country=Taiwan
-1.0619963264113013 0.32772387895389765 native-country=Haiti
-0.6255043472431809 0.3283601765508559 native-country=Columbia
-0.9022496367904633 -0.3009638180305799 native-country=Hungary
-0.7382043461607577 0.7276529313996423 native-country=Guatemala
-1.029909728341489 -0.8622172985697114 native-country=Nicaragua
-0.19601899206558362 -0.23400387908871942 native-country=Scotland
-0.4925932304920672 0.4438949151671728 native-country=Thailand
-0.46251341951811425 0.013734681891136738 native-country=Yugoslavia
-0.3034019485254975 0.35809986152244117 native-country=El-Salvador
-1.0445740430004038 -0.2206345721074078 native-country=Trinadad&Tobago
0.9092517161821041 -0.7024438123710013 native-country=Peru
-0.962966882447226 0.65910166674699 native-country=Hong
0.44088639897207754 -0.541542350929026 native-country=Holand-Netherlands
Hidden Weights:
5.922833883643732 -5.918423917689406
-2.051952661359157 2.0401084267294363
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 457 88.7379 %
Incorrectly Classified Instances 58 11.2621 %
Mean absolute error 0.2263
Root mean squared error 0.2948
Relative absolute error 65.5346 %
Root relative squared error 71.0024 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
70 44 | a = >50K
14 387 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 426 82.7184 %
Incorrectly Classified Instances 89 17.2816 %
Mean absolute error 0.2663
Root mean squared error 0.3644
Relative absolute error 75.9398 %
Root relative squared error 86.4385 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
62 57 | a = >50K
32 364 | b = <=50K
|
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