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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.4998003232945052 0.43002606983648595 age
0.8388131602958759 0.354930799281888 workclass=Private
-0.9276237230745648 -0.05326351197810797 workclass=Self-emp-not-inc
0.4056560772320259 0.8892221024543079 workclass=Self-emp-inc
-0.633330584124508 0.42945117716986503 workclass=Federal-gov
0.8055986257184069 -0.6914244587978293 workclass=Local-gov
0.6827370511369073 -0.3999397203760362 workclass=State-gov
0.11254802782653717 -0.3762980837943868 workclass=Without-pay
-0.6547070044848169 -0.2334672712295589 workclass=Never-worked
0.9109794985106714 0.8719622113786365 fnlwgt
0.6847512284894801 0.38659210874748196 education=Bachelors
-0.8449794032260496 -0.9967773259690802 education=Some-college
-0.6939136693353982 -0.39967280652533455 education=11th
0.7389543822609308 0.13361634114812793 education=HS-grad
0.9198174426912398 -0.2407093071396087 education=Prof-school
0.9634855935420326 0.44602029452582403 education=Assoc-acdm
0.7132568508881252 0.6986713510250473 education=Assoc-voc
-0.8291016844915462 -0.3765448312308928 education=9th
0.5093069209675669 0.7629568004260856 education=7th-8th
-0.2961371015222962 0.24541455369582388 education=12th
0.42930392133525097 -0.94547265967198 education=Masters
0.5737676076745586 -0.4954009391122427 education=1st-4th
-0.45078779249614764 -0.10202613526842552 education=10th
-0.9195550359157545 -0.17132010297542677 education=Doctorate
0.18713032449353362 0.6885093005234684 education=5th-6th
0.600177172207335 -0.5966850112770068 education=Preschool
-0.4744000026472208 -0.07272047845544494 education-num
0.06578803337833627 0.5422019972818086 marital-status=Married-civ-spouse
-0.2356269551487269 0.8650704920268661 marital-status=Divorced
0.7331002404153497 0.6597462544804578 marital-status=Never-married
-0.10339192362658545 0.5229930066017963 marital-status=Separated
-0.18754809246588855 0.06295533895785876 marital-status=Widowed
-0.5487995602500477 0.3970938413868448 marital-status=Married-spouse-absent
0.8114588297086327 -0.34877783301052645 marital-status=Married-AF-spouse
-0.43788360801516735 0.5651356188707644 occupation=Tech-support
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0.15511377184024333 -0.7415999610983115 occupation=Exec-managerial
-0.030157802858102434 -0.23107209812176688 occupation=Prof-specialty
-0.14726532331911613 0.7659171590851133 occupation=Handlers-cleaners
0.1564664100762403 0.3940978092664671 occupation=Machine-op-inspct
-0.760828902727035 -0.9760616894494154 occupation=Adm-clerical
-0.11514927437236788 -0.1933725884238795 occupation=Farming-fishing
0.6958899916196524 -0.16685593148699707 occupation=Transport-moving
0.176244332294744 0.32718522155022667 occupation=Priv-house-serv
-0.41567569083962486 -0.6483456945839361 occupation=Protective-serv
0.6612806884468085 0.5510319382663114 occupation=Armed-Forces
0.9295669592080276 -0.9664385001465401 relationship=Wife
-0.6741294527811692 -0.10869562086501228 relationship=Own-child
-0.2809412133029894 -0.5354978618894091 relationship=Husband
-0.9145022833283005 0.2522756573251541 relationship=Not-in-family
0.09392681655813351 -0.9522854124153453 relationship=Other-relative
-0.10430878103567909 0.05200334424832498 relationship=Unmarried
0.9189799610087885 0.7498078830266419 race=White
0.9136170238609418 -0.08602311505850757 race=Asian-Pac-Islander
-0.29217466833043004 -0.8202870188818348 race=Amer-Indian-Eskimo
-0.19183494035133553 -0.46173071577173963 race=Other
0.6931429853570386 -0.5463532517422012 race=Black
0.386505036682367 -0.6021935974253174 sex
0.9786202910526245 -0.38121769898842794 capital-gain
0.19547655696296773 -0.19304242532443716 capital-loss
0.666907431895825 0.11282468923569255 hours-per-week
0.31676621571283214 -0.13126690193708979 native-country=United-States
-0.9255116044269278 0.7887307853821852 native-country=Cambodia
-0.9252612725773675 0.08321874044888444 native-country=England
-0.4644287814283947 0.6150279721091703 native-country=Puerto-Rico
0.40292793552876716 -0.27800074810694064 native-country=Canada
-0.2522352726869259 0.1729657042490138 native-country=Germany
0.9761933283781623 -0.8615160994383664 native-country=Outlying-US(Guam-USVI-etc)
-0.524069144663909 0.6312205972471958 native-country=India
-0.5641994517452575 -0.8417318793431996 native-country=Japan
0.0294589261475815 0.8249595005526809 native-country=Greece
0.8583311206496183 -0.28829045968816946 native-country=South
-0.9466963639201016 0.45538430942244945 native-country=China
0.5092570896747177 -0.4637227271378823 native-country=Cuba
0.5842422844636577 -0.9661690815368476 native-country=Iran
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-0.7675585778420302 -0.46727785317573733 native-country=Italy
-0.8781590202547194 -0.6880275632520614 native-country=Poland
-0.607940370263865 -0.9463536410583491 native-country=Jamaica
-0.23785747255333445 -0.01661455726564398 native-country=Vietnam
-0.7373199597938542 0.9769841256159619 native-country=Mexico
0.00491056124820477 -0.9935793824796457 native-country=Portugal
0.2657388283868234 -0.5469649363986178 native-country=Ireland
0.19030262802511655 -0.4774353820619013 native-country=France
-0.7618622540869 -0.9962910789634225 native-country=Dominican-Republic
0.8751091053724023 0.4079325053741516 native-country=Laos
0.9762052722252905 0.6674715830517606 native-country=Ecuador
-0.8815495800596984 0.23827135091369644 native-country=Taiwan
0.3865236152541407 -0.12086914039863217 native-country=Haiti
0.7382247471041488 -0.7585054420064079 native-country=Columbia
0.934825260821482 -0.8579596471175146 native-country=Hungary
-0.5471892452271985 -0.6076843747105505 native-country=Guatemala
0.7209189761188342 -0.4925698040778763 native-country=Nicaragua
-0.4941437752805349 0.8692595484919494 native-country=Scotland
0.7399447393254228 -0.9437843608391248 native-country=Thailand
0.6362441893841464 -0.6545314870750292 native-country=Yugoslavia
-0.19393551115176 0.211300087456618 native-country=El-Salvador
0.48528352230472005 -0.578330439150121 native-country=Trinadad&Tobago
-0.4793802814335084 -0.009649122995951886 native-country=Peru
-0.41765571600269413 0.551581241329322 native-country=Hong
-0.41179003758071464 0.906291521771659 native-country=Holand-Netherlands
Hidden Weights:
0.9652163910939082 -0.2299046720848934
0.3193525623269813 0.2163714285833256
>50K <=50K
Error sum for iteration 100 = 68.62339856852189
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.48335150779788594 0.26666648158578776 age
0.7305814963097 0.8237444552587819 workclass=Private
-0.9594771982088531 -0.06586790865040075 workclass=Self-emp-not-inc
0.41404298835386955 0.6767284248315992 workclass=Self-emp-inc
-0.6183034894546542 0.2952296796704792 workclass=Federal-gov
0.7785728096842148 -0.39324924574165226 workclass=Local-gov
0.6695837629904452 -0.40473922194673384 workclass=State-gov
0.10134443943300482 -0.34752166981810384 workclass=Without-pay
-0.6659105928783431 -0.20469085725327324 workclass=Never-worked
0.8993067169383078 0.9198367042754995 fnlwgt
0.6957914502976329 -0.05472518651184861 education=Bachelors
-0.9265565227154017 -0.5137205771986993 education=Some-college
-0.7318697512964016 -0.1448047102447431 education=11th
0.6929940284117095 0.63584034751469 education=HS-grad
0.9141342188604784 -0.4073155853359529 education=Prof-school
0.9467689399514685 0.4155730329805127 education=Assoc-acdm
0.7072829290855834 0.5915794933844437 education=Assoc-voc
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0.4962392022761325 0.7832450390240057 education=7th-8th
-0.3015715598311261 0.25079468922014847 education=12th
0.4335001929129307 -1.0658901313421882 education=Masters
0.5585508669571226 -0.40327550913110866 education=1st-4th
-0.47288397269629107 0.016541533012175546 education=10th
-0.9003703154962733 -0.3067738524519787 education=Doctorate
0.17294780604377957 0.7542176795543055 education=5th-6th
0.5887726605912985 -0.5610452960567496 education=Preschool
-0.49297561634809467 -0.4528908106065998 education-num
0.08543697905290273 -0.4821915875857524 marital-status=Married-civ-spouse
-0.26199771567589486 1.0134387179324136 marital-status=Divorced
0.645589856088807 1.5275828580657371 marital-status=Never-married
-0.12457242061042222 0.6637174033332673 marital-status=Separated
-0.20791256531243457 0.20831984074128468 marital-status=Widowed
-0.5695641022878954 0.5031150468005937 marital-status=Married-spouse-absent
0.7999467148530343 -0.30105297191812364 marital-status=Married-AF-spouse
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0.17635847087008807 -1.2730059558843032 occupation=Exec-managerial
0.003935134908003041 -0.6069775182816807 occupation=Prof-specialty
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0.1378725484507694 0.4308163641537929 occupation=Machine-op-inspct
-0.8042733258728995 -0.6970921765676645 occupation=Adm-clerical
-0.13013464333162178 -0.11529101254067511 occupation=Farming-fishing
0.6707030843037333 0.1583581491573095 occupation=Transport-moving
0.16504074390120937 0.3559616355265096 occupation=Priv-house-serv
-0.4305955737281178 -0.6029670150644795 occupation=Protective-serv
0.6498388461999364 0.5837927474106065 occupation=Armed-Forces
0.9247906093775516 -1.2800393523508873 relationship=Wife
-0.7420512679317134 0.4513566260046471 relationship=Own-child
-0.26301245665688255 -1.2205798038629385 relationship=Husband
-0.9626759380353439 0.6461944092835142 relationship=Not-in-family
0.07293029052606295 -0.7943638605758624 relationship=Other-relative
-0.13721942947110072 0.3416633834267247 relationship=Unmarried
0.8508548356184579 0.5890412066933551 race=White
0.9188677343831027 -0.11979424915714587 race=Asian-Pac-Islander
-0.31076367826140544 -0.7429500079003942 race=Amer-Indian-Eskimo
-0.21288643020954282 -0.38407559094982113 race=Other
0.6500112508984791 -0.13271419542193244 race=Black
0.3320780834704383 -0.5285221820460623 sex
0.9691476942826838 -0.37099339898337924 capital-gain
0.19018084311007757 -0.261604860186181 capital-loss
0.6553816106201917 -0.03602692292779524 hours-per-week
0.22291649135059288 0.0274617903442761 native-country=United-States
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0.393552851385526 -0.2883871473854129 native-country=Canada
-0.26456137438023003 0.2210432731356611 native-country=Germany
0.9649897399846361 -0.832739685462083 native-country=Outlying-US(Guam-USVI-etc)
-0.5326260269074016 0.6391907969517427 native-country=India
-0.5754030401387837 -0.8129554653669162 native-country=Japan
0.018255337754049143 0.8537359145289642 native-country=Greece
0.8506878495080166 -0.27252542516047457 native-country=South
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0.49699798568693515 -0.4001879794989139 native-country=Cuba
0.5768913133709948 -0.9582792777468451 native-country=Iran
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-0.7795090005939309 -0.4297665770912406 native-country=Italy
-0.8924727466233001 -0.6282136718081894 native-country=Poland
-0.6205630893716741 -0.9078321130775971 native-country=Jamaica
-0.24906106094686908 0.012161856710641968 native-country=Vietnam
-0.7539719159022843 1.0511908850987834 native-country=Mexico
-0.013804975991052394 -0.9441617151257509 native-country=Portugal
0.25453523999329836 -0.5181885224223344 native-country=Ireland
0.17841992333816672 -0.44331877582090856 native-country=France
-0.7733831587180829 -0.9633884729635928 native-country=Dominican-Republic
0.8621779866377133 0.45121415063454245 native-country=Laos
0.9645087443501813 0.71250494128669 native-country=Ecuador
-0.8893760857825326 0.25703634443788154 native-country=Taiwan
0.3750872732863196 -0.08526426745294303 native-country=Haiti
0.7263535606007111 -0.7200223925095431 native-country=Columbia
0.9236216724279558 -0.8291832331412312 native-country=Hungary
-0.5583928336207247 -0.5789079607342671 native-country=Guatemala
0.709715387725308 -0.4637933901015934 native-country=Nicaragua
-0.5053473636740582 0.8980359624682328 native-country=Scotland
0.7309595682376256 -0.9217449396086905 native-country=Thailand
0.6250406009906202 -0.6257550730987458 native-country=Yugoslavia
-0.20533424694542765 0.24169469492883144 native-country=El-Salvador
0.474079933911195 -0.5495540251738376 native-country=Trinadad&Tobago
-0.49058386982703345 0.01912729098033376 native-country=Peru
-0.42885930439621917 0.5803576553056053 native-country=Hong
-0.4229936259742397 0.9350679357479423 native-country=Holand-Netherlands
Hidden Weights:
0.44358891211066986 -0.585898945859042
-1.8535108097799855 1.874368841551791
>50K <=50K
Error sum for iteration 200 = 69.22377501277367
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.4779881833438886 0.1744697827094542 age
0.5820930025839501 0.9554017403819173 workclass=Private
-1.089399084867186 0.059257274203382254 workclass=Self-emp-not-inc
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0.08705513530144195 -0.32747102825391244 workclass=Without-pay
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0.8998643932196919 0.9373531169171254 fnlwgt
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0.4849117275656722 0.7600624512205982 education=7th-8th
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0.4331728238689158 -1.0322551333966152 education=Masters
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0.5767372359708882 0.2419387841285938 race=Black
0.23320586176970742 -0.15620281970597458 sex
0.9645846237827521 -0.3826133317587601 capital-gain
0.22615457804810257 -0.43934770477964663 capital-loss
0.7158830117816966 -0.2681424177814313 hours-per-week
0.0941561645589909 0.06408091846474104 native-country=United-States
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0.950700435853074 -0.8126890438978909 native-country=Outlying-US(Guam-USVI-etc)
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0.2402459358617346 -0.4981378808581452 native-country=Ireland
0.1628066133661568 -0.4214930864116113 native-country=France
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0.8348535188987558 0.5312581212659857 native-country=Laos
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0.45979062977962754 -0.5295033836096454 native-country=Trinadad&Tobago
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Hidden Weights:
0.919887131780699 -1.0322322979895784
-2.609865786232408 2.6039618031611362
>50K <=50K
Error sum for iteration 300 = 68.69923895905589
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.49476290793984923 0.03578005416257332 age
0.5427398384610752 0.9777146909249881 workclass=Private
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0.20648311700941238 -0.034436715981171574 sex
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0.30450937065223005 -0.647067998407784 capital-loss
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Hidden Weights:
1.1456061863119211 -1.2322344472741997
-2.9589786299701784 2.949495100091621
>50K <=50K
Error sum for iteration 400 = 68.96730221103628
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.5087283531657754 -0.09847792786614645 age
0.5501563313019466 1.0085230972580455 workclass=Private
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0.963497226752592 0.9135258485012357 fnlwgt
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Hidden Weights:
1.3181755182887795 -1.386244136618018
-3.190572626341908 3.182283252121602
>50K <=50K
Error sum for iteration 500 = 69.93920095843689
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.5174855368809463 -0.23171173967096903 age
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0.62616265877483 0.4368309815800889 race=Black
0.15685114960545132 0.039661540548415815 sex
0.9985116753472327 -0.42265022031648253 capital-gain
0.49242456079236 -1.1110479069545471 capital-loss
0.9810023906084935 -0.6040195664356993 hours-per-week
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0.15463160670297488 -0.3796601971522484 native-country=France
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0.7671141173392153 0.8486948486928476 native-country=Laos
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Hidden Weights:
1.494621545085626 -1.549276838684024
-3.4060640972733554 3.399823099065142
>50K <=50K
Error sum for iteration 600 = 71.1913052762668
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.5250642619386385 -0.359952471737975 age
0.5703484892630338 1.0229211272209033 workclass=Private
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Hidden Weights:
1.6852117273831353 -1.7297126511316654
-3.6399272661181254 3.635636475714799
>50K <=50K
Error sum for iteration 700 = 72.17084155210509
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.5269393674614611 -0.4737190438314509 age
0.5638292949377186 1.0224012292992732 workclass=Private
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1.093312463997254 0.8041626329757127 fnlwgt
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1.02174009112157 -0.45236098768886385 capital-gain
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Hidden Weights:
1.8792396014194483 -1.91583713379231
-3.892042345384207 3.8892795771890034
>50K <=50K
Error sum for iteration 800 = 72.83579402619176
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.5144526917929517 -0.5530404738032558 age
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0.8188072880350801 0.2939671358730081 race=Black
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1.030117141441125 -0.46874156058003064 capital-gain
0.748786385666922 -1.822778749355037 capital-loss
1.180664781686169 -0.4836504129648304 hours-per-week
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Hidden Weights:
2.0643869476955206 -2.09457904775378
-4.13085931560148 4.1293222783550725
>50K <=50K
Error sum for iteration 900 = 73.346490161701
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.4846417396067579 -0.5920464949296993 age
0.583099905211846 1.016108426099173 workclass=Private
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Hidden Weights:
2.2409537118176477 -2.2657571176952707
-4.341733767714113 4.3412480046185955
>50K <=50K
Error sum for iteration 1000 = 73.77610256561654
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.44032909012205856 -0.6013912621920453 age
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1.0421391851868262 -0.50453942395517 capital-gain
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Hidden Weights:
2.4133319775400337 -2.433526694462007
-4.529156255839862 4.529570519017411
>50K <=50K
Error sum for iteration 1100 = 74.06299257822901
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.3865586912236904 -0.5947544572153145 age
0.6657304143244137 1.019282370232876 workclass=Private
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1.210272502732752 0.6639879973922094 fnlwgt
0.3338796728211468 0.27781013384298303 education=Bachelors
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0.768898229716309 -0.00556827359809613 marital-status=Married-AF-spouse
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1.044158643407071 0.13622482363522614 race=Black
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1.046150994408193 -0.5241882183266006 capital-gain
0.8757936161620684 -2.262212159098233 capital-loss
1.3571499634079527 -0.30110179927475805 hours-per-week
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Hidden Weights:
2.5845471489716667 -2.6008112875181637
-4.699569135217638 4.700705412804171
>50K <=50K
Error sum for iteration 1200 = 74.1785631122363
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.3271049151638111 -0.5816988375827508 age
0.7114499946476586 1.0289396559381214 workclass=Private
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0.9074829200075323 -0.01083558597788803 workclass=Self-emp-inc
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0.0975076758250215 -0.2542566474996162 workclass=Without-pay
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1.227721654161856 0.6342725979354928 fnlwgt
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1.123565306402655 0.09268286979110162 race=Black
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1.0487267096906199 -0.544232617382524 capital-gain
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Hidden Weights:
2.7563832526584515 -2.7693555972532713
-4.856461107052473 4.858110884128114
>50K <=50K
Error sum for iteration 1300 = 74.17326837211587
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.2638035776306122 -0.5671673110713937 age
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0.2532914040704425 -0.4238627545632898 native-country=Ireland
0.1612817727389258 -0.3338442552522042 native-country=France
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0.738461895712223 1.289630937450017 native-country=Laos
0.8639081640415613 1.1956577242255346 native-country=Ecuador
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0.36792958086149263 0.012222105901665113 native-country=Haiti
0.650518830004738 -0.46594547709476125 native-country=Columbia
0.9223778365051086 -0.7348574652821456 native-country=Hungary
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0.7084715518024608 -0.3694676222425466 native-country=Nicaragua
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0.7574522885000678 -0.8474695596167047 native-country=Thailand
0.623796765067773 -0.5314293052396601 native-country=Yugoslavia
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0.4728360979883405 -0.4552282573147537 native-country=Trinadad&Tobago
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-0.4301031403190737 0.674683423164691 native-country=Hong
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Hidden Weights:
2.9299587288897766 -2.9402358368143653
-5.001229008962365 5.003187063238692
>50K <=50K
Error sum for iteration 1400 = 74.08420675609838
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.19774833317649526 -0.5538472788261714 age
0.792761851792296 1.0638006234869002 workclass=Private
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1.0033619917587056 0.06159661870301704 workclass=Self-emp-inc
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1.4465739337733372 1.0455169455806568 workclass=Local-gov
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0.10254006201235535 -0.25236417430892777 workclass=Without-pay
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1.2521495782443024 0.5832907896134338 fnlwgt
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0.5603830983310538 -0.40842968414239467 education=Preschool
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1.4141878233172496 -0.6630595157036177 relationship=Wife
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1.2699550247320885 0.021310802637991698 race=Black
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1.0495589422112337 -0.5856610773653499 capital-gain
0.885450831062699 -2.444965199772658 capital-loss
1.5246862372937673 -0.13112671863272998 hours-per-week
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0.7399276684015549 1.3227382656841071 native-country=Laos
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0.47527555649054803 -0.4543965296646244 native-country=Trinadad&Tobago
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Hidden Weights:
3.1056048617072953 -3.1137162656987374
-5.134958304008731 5.137052711281601
>50K <=50K
Error sum for iteration 1500 = 73.90527081424328
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.12990398046975826 -0.5434855373488235 age
0.8278540272710366 1.085817999395034 workclass=Private
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1.2618307887941138 0.5574848655730609 fnlwgt
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0.5557326086324758 -1.065546670687612 education=12th
1.3514213744353951 1.1894868460798693 education=Masters
0.1815625931536171 0.632361816276305 education=1st-4th
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0.5599762659857994 -0.40381990790948125 education=Preschool
0.3435106428150161 -1.804046196490112 education-num
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1.0481936992136818 -0.6084269719891209 capital-gain
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Hidden Weights:
3.2833973633079823 -3.2897924703072294
-5.258932396546642 5.261034492155094
>50K <=50K
Error sum for iteration 1600 = 73.55560760262469
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
0.061492035694477594 -0.5379302315019259 age
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1.0459844073296134 -0.6335871587261579 capital-gain
0.8595611454017242 -2.4951943194566932 capital-loss
1.649880770913438 -0.040036667843162156 hours-per-week
0.17399111041403195 0.1667667855842345 native-country=United-States
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1.0378325072129284 -0.7996607409101394 native-country=South
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0.1799089057629147 1.5306003625692688 native-country=Cuba
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0.1607587957690956 -0.32252436137220103 native-country=France
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0.7434130838653279 1.3732837353508691 native-country=Laos
0.805343951037988 1.3997206709817984 native-country=Ecuador
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0.3745119930263264 0.014371472608608809 native-country=Haiti
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0.9293801158909343 -0.733280394158547 native-country=Hungary
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0.7631373675879535 -0.8419282831328259 native-country=Thailand
0.6307990444535987 -0.5298522341160615 native-country=Yugoslavia
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0.47983837737418167 -0.45365118619113204 native-country=Trinadad&Tobago
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Hidden Weights:
3.463355274589641 -3.4684049354024085
-5.373753462150688 5.375774591387411
>50K <=50K
Error sum for iteration 1700 = 73.00824883924915
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
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0.8909402968269581 1.1433860165310152 workclass=Private
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1.203295856561682 0.19318456025483297 workclass=Self-emp-inc
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1.9341809607975862 1.2420425181510573 workclass=Local-gov
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1.2819118080671523 0.4948801741918672 fnlwgt
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0.5596222691436505 -0.3964655815567005 education=Preschool
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1.4333986798647842 -0.06365122773076004 race=Black
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0.4820184500919958 -0.4536230983622222 native-country=Trinadad&Tobago
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Hidden Weights:
3.6446229197960514 -3.648627107592925
-5.478917035408405 5.48080097065379
>50K <=50K
Error sum for iteration 1800 = 72.33681232935601
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
-0.0715119671994489 -0.547589434061539 age
0.9224924810911886 1.1808436775326445 workclass=Private
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1.294228832303467 0.4550961698237173 fnlwgt
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1.544601018955964 1.3101130005865476 education=Masters
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1.0399148197964807 -0.6928765666268797 capital-gain
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Hidden Weights:
3.825104721218431 -3.828300542903211
-5.574131217775828 5.5758471240447465
>50K <=50K
Error sum for iteration 1900 = 71.62782299014503
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
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0.9548536891331816 1.223015645025314 workclass=Private
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0.7693604578851181 0.4112422827014507 occupation=Adm-clerical
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0.4300775282490982 2.2179497054278836 occupation=Transport-moving
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2.6829438972764748 -0.2769000581507427 race=Asian-Pac-Islander
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1.5040188290991285 -0.1186991636805351 race=Black
-0.4677399202162895 0.14991488175260492 sex
1.0364340150666647 -0.7272602791568675 capital-gain
0.8260888859949633 -2.553480164561459 capital-loss
1.8500177868181724 0.11317029455905038 hours-per-week
0.23453657752064733 0.15232657933479735 native-country=United-States
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0.9937975617852989 -1.4467046909361534 native-country=Canada
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1.0470725583351694 -0.8231769899710499 native-country=South
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0.13511030481397 1.6265630204579913 native-country=Cuba
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0.15638618276096786 -0.30712470782740947 native-country=France
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0.7489549643197255 1.4214750260440392 native-country=Laos
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Hidden Weights:
4.002799595246643 -4.005370145573521
-5.660206320654012 5.66174260162667
>50K <=50K
Error sum for iteration 2000 = 70.88152787677987
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
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0.987456329516361 1.2685445681755847 workclass=Private
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2.4176710003474993 1.4631540092653303 workclass=Local-gov
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1.3250004513977611 0.3598333822006383 fnlwgt
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0.5597353249848892 -0.3886939506280974 education=Preschool
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1.529587103401289 -0.1491558567758881 race=Black
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Hidden Weights:
4.176829208795755 -4.178914038240465
-5.738472864774487 5.7398309651561865
>50K <=50K
Error sum for iteration 2100 = 70.03122390233683
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
-0.2534056453559689 -0.5977180309174234 age
1.0178850272278295 1.3152973406840054 workclass=Private
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1.6313634937597468 1.390728780494517 education=Masters
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0.6404305091324292 -0.5314128534720457 native-country=Yugoslavia
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Hidden Weights:
4.3474955847273895 -4.349201138917351
-5.80961431333056 5.810802912701621
>50K <=50K
Error sum for iteration 2200 = 69.03703624223952
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
-0.3063217910940502 -0.6166966001037988 age
1.0415000521187818 1.3606861608991023 workclass=Private
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1.3614470299702346 0.2666441970709366 fnlwgt
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1.6451498900230805 1.42419698026808 education=Masters
0.07615364533978435 0.8417202758399973 education=1st-4th
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0.13527331341331725 -1.8231568389276205 education=Doctorate
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0.5600310730375918 -0.38449269862050295 education=Preschool
0.4182731054772119 -2.0765769406660843 education-num
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1.55991129799085 -0.2033446116936602 race=Black
-0.3242494647600656 0.3141165757482666 sex
1.0272290502417185 -0.8439460244822643 capital-gain
0.8435370795977021 -2.625972152064897 capital-loss
2.0344606784708783 0.32954954244948453 hours-per-week
0.1886080799902989 0.08186837074878658 native-country=United-States
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0.14428400716887602 -0.2798186013869369 native-country=France
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0.7536717442419619 1.448750816862463 native-country=Laos
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Hidden Weights:
4.515199917164217 -4.5166079578390015
-5.873395146870662 5.874426392338794
>50K <=50K
Error sum for iteration 2300 = 67.92511229354795
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
-0.3540740905188505 -0.6346018069581723 age
1.0541726002955232 1.4026326923328492 workclass=Private
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0.11984404415687946 -0.25335503998097625 workclass=Without-pay
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1.381191079013617 0.23001868118801141 fnlwgt
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1.0251379048634672 -0.8841160236770608 capital-gain
0.862515504078946 -2.649346890672574 capital-loss
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Hidden Weights:
4.679245988835309 -4.6804193237513685
-5.929770710469075 5.930658964578661
>50K <=50K
Error sum for iteration 2400 = 66.77254692777123
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
-0.39670371528566495 -0.6503379306478672 age
1.0547136833972397 1.4399172794894637 workclass=Private
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0.7566607459501095 1.4618933499392248 native-country=Laos
0.6787432123765618 1.7328197838141173 native-country=Ecuador
-0.6757355168231116 -0.4119114614367212 native-country=Taiwan
0.3886237264968276 0.013814347171368075 native-country=Haiti
0.6169735164528902 -0.37780321037554226 native-country=Columbia
0.943674303064685 -0.7345730382678088 native-country=Hungary
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0.7297680183620372 -0.3691831952282248 native-country=Nicaragua
-0.48529473303735476 0.9926461573416552 native-country=Scotland
0.7749806223787931 -0.8275947849774383 native-country=Thailand
0.6450932316273494 -0.5311448782253234 native-country=Yugoslavia
-0.16087623003987483 0.33579698961547966 native-country=El-Salvador
0.4941325645479023 -0.4549438303004319 native-country=Trinadad&Tobago
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-0.4088066737595119 0.6749678501790277 native-country=Hong
-0.4029409953375324 1.0296781306213547 native-country=Holand-Netherlands
Hidden Weights:
4.838005443184877 -4.838992091904835
-5.9795888484705655 5.98034995166799
>50K <=50K
Error sum for iteration 2500 = 65.62489998895379
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
-0.4344096220890583 -0.6628981708122308 age
1.0446166884830685 1.4720556903612168 workclass=Private
-3.320002881836698 -1.0242909499406612 workclass=Self-emp-not-inc
2.0052939710023163 0.6657752942162181 workclass=Self-emp-inc
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3.088972021006348 1.8361633478379213 workclass=Local-gov
-0.9800025634673151 0.12166062124073967 workclass=State-gov
0.12298434834309088 -0.25217524432598754 workclass=Without-pay
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1.4247625002012871 0.17570554179378278 fnlwgt
0.7153762910953784 0.8722910126072035 education=Bachelors
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1.1281468293279717 1.2359985473377284 education=HS-grad
1.2360001748375729 -2.9561934374808994 education=Prof-school
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0.5832115585957034 0.04221733862359664 education=Assoc-voc
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1.1911367869413014 -0.4398779267247795 education=7th-8th
1.0666968059196091 -2.1770401119445766 education=12th
1.6653378795778855 1.517476472995519 education=Masters
0.06500636683636275 0.889514439471207 education=1st-4th
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0.19255391725362933 -1.8052120533641478 education=Doctorate
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0.5610602250595179 -0.376309713418561 education=Preschool
0.42359683833037254 -2.1432206096761504 education-num
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0.7937835510545347 0.06157911659636711 marital-status=Married-AF-spouse
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1.240915292294105 0.6394591346870033 occupation=Adm-clerical
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1.8082735755524793 -0.23000123563357236 relationship=Wife
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1.5632186666820767 -0.21829909281280557 race=Black
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1.0227610747457998 -0.9621861875501785 capital-gain
0.9177783586415217 -2.6957240212449505 capital-loss
2.186345631151355 0.58621265462919 hours-per-week
0.06476457523058898 0.0055655599555156565 native-country=United-States
0.14587132540915404 -1.7646391044555785 native-country=Cambodia
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1.4921344756655825 -1.5587476864384413 native-country=Canada
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0.002926708804031397 -0.7979894379492491 native-country=Mexico
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0.1302527931669824 -0.2487873486087548 native-country=France
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0.7582057101729529 1.4679024920666575 native-country=Laos
0.6668196327487187 1.7625433955614012 native-country=Ecuador
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0.39020849353689907 0.01457733079847269 native-country=Haiti
0.6147122874170277 -0.37089751703243273 native-country=Columbia
0.9452615813380706 -0.7338368076490613 native-country=Hungary
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0.7313552966354228 -0.36844696460947707 native-country=Nicaragua
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0.7763979721811016 -0.8244009379890955 native-country=Thailand
0.646680509900735 -0.5304086476065759 native-country=Yugoslavia
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0.4957198428212741 -0.45420759968168417 native-country=Trinadad&Tobago
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-0.40721939548614006 0.6757040807977752 native-country=Hong
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Hidden Weights:
4.989856848181287 -4.990693458370561
-6.0242530801837 6.0249033206879075
>50K <=50K
Error sum for iteration 2600 = 64.5180660280331
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
-0.467273062995229 -0.6713923677557279 age
1.0263623964366078 1.4989083790898643 workclass=Private
-3.458532879673664 -1.163174592181791 workclass=Self-emp-not-inc
2.1091885193654414 0.7310613381917489 workclass=Self-emp-inc
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3.1956895445928706 1.8980989461186266 workclass=Local-gov
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0.12460080088894579 -0.2512107095797089 workclass=Without-pay
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1.4482707417825835 0.1552361292136084 fnlwgt
0.72616228080042 0.8936190384715514 education=Bachelors
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1.1404773541348463 1.2576255001639773 education=HS-grad
1.2383897164738176 -2.9833087016133653 education=Prof-school
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1.2046259883672756 -0.43880681112582764 education=7th-8th
1.0948519877774527 -2.210598649437093 education=12th
1.6639918707489492 1.5402704775096905 education=Masters
0.06315677562503162 0.9039189085045354 education=1st-4th
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0.21834724812834605 -1.7977690279047216 education=Doctorate
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0.5615483596310777 -0.373081010666765 education=Preschool
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0.7953722251582124 0.0641059395309356 marital-status=Married-AF-spouse
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1.2810738259408039 0.6756861519214843 occupation=Adm-clerical
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1.560740413246387 -0.21194291583879193 race=Black
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1.0224448174254606 -0.9994486965670252 capital-gain
0.9524920276591572 -2.719719889952834 capital-loss
2.229088191555539 0.6703848302851889 hours-per-week
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0.6482969624465891 -0.5294441128602998 native-country=Yugoslavia
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Hidden Weights:
5.133860175437822 -5.134574840158132
-6.065133723462273 6.065688808823231
>50K <=50K
Error sum for iteration 2700 = 63.46826614387135
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
-0.49507745438232614 -0.6750587278775643 age
1.0021772197215078 1.5204241807846555 workclass=Private
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1.0226272856487766 -1.0351170349446974 capital-gain
0.9905779880426119 -2.7444315749445156 capital-loss
2.2681727372129736 0.7513964695211728 hours-per-week
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0.1525495363557135 -1.7677839052120796 native-country=Cambodia
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1.7056816834036073 -1.578700912203086 native-country=Canada
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0.9898733517661888 -0.7352863547695627 native-country=Outlying-US(Guam-USVI-etc)
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0.043138949535580264 0.9511892452214845 native-country=Greece
1.0648359009207926 -0.8638329907221164 native-country=South
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0.07229743506570524 1.7516775969636937 native-country=Cuba
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0.005370966004654309 -0.8211902162586276 native-country=Mexico
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0.2794188517748239 -0.4207351917298657 native-country=Ireland
0.12215183259735436 -0.23035283740271306 native-country=France
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0.7613754446485534 1.4791902564455754 native-country=Laos
0.6436088251551595 1.8194767086673833 native-country=Ecuador
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0.3934479759893737 0.016728314503150914 native-country=Haiti
0.6104427293366859 -0.35701287682394656 native-country=Columbia
0.9485052842095085 -0.731729902448711 native-country=Hungary
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0.7793585381389956 -0.8170161308307174 native-country=Thailand
0.6499242127721729 -0.5283017424062255 native-country=Yugoslavia
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0.4989635456927219 -0.45210069448132956 native-country=Trinadad&Tobago
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Hidden Weights:
5.269802264503982 -5.270416718003595
-6.103373772738167 6.103848091685549
>50K <=50K
Error sum for iteration 2800 = 62.48292856108774
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
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0.9736291297101448 1.5366132700824047 workclass=Private
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2.3131091204151346 0.8792064926718682 workclass=Self-emp-inc
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3.383073763652037 2.0102916134221394 workclass=Local-gov
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1.4966706138945276 0.12222027504270049 fnlwgt
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1.6493068702922065 1.5720329674437914 education=Masters
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0.27384776004683076 -1.7809313050478026 education=Doctorate
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0.5626231449136819 -0.3662030745921355 education=Preschool
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0.7985672377921725 0.0692044850344717 marital-status=Married-AF-spouse
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1.5573099653221538 -0.19349309025606076 race=Black
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1.0232243834481705 -1.0688264031093107 capital-gain
1.0310801663197526 -2.7697474086637595 capital-loss
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-0.40235874371453123 0.6790937887349324 native-country=Hong
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Hidden Weights:
5.397986669846721 -5.398517919481511
-6.1399440709242015 6.140350318039326
>50K <=50K
Error sum for iteration 2900 = 61.56951382407422
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
-0.53301070405067 -0.6655683942559263 age
0.9417004929472448 1.5477130680989464 workclass=Private
-3.808234750848846 -1.536113828292478 workclass=Self-emp-not-inc
2.414820229954083 0.965188858082601 workclass=Self-emp-inc
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1.5209009017514667 0.10799262267211163 fnlwgt
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1.0241495106370349 -1.1002092742487861 capital-gain
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Hidden Weights:
5.5190267165055 -5.519488232029232
-6.175725714018804 6.176074806786348
>50K <=50K
Options: -I 3000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 3000
-E 0.01
-S 1626278981
-H 2
-M 0.01
Input Weights:
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0.9074215115231528 1.554385091947363 workclass=Private
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-1.7169192996147375 -0.5738261943987505 occupation=Other-service
1.9108281223394814 1.0449548518810623 occupation=Sales
-0.7843999515437601 -1.3848465404239605 occupation=Exec-managerial
1.4611052965191489 0.49145171151368905 occupation=Prof-specialty
0.06641861365732621 1.5391745084680801 occupation=Handlers-cleaners
-0.6868350774571078 -0.2559578599867233 occupation=Machine-op-inspct
1.3569217053428984 0.8010501574815364 occupation=Adm-clerical
-0.31332115449041004 0.8348489335481091 occupation=Farming-fishing
0.6968388849690355 2.1620344002926313 occupation=Transport-moving
0.19465671834495385 0.4575485388611259 occupation=Priv-house-serv
-1.1501023105765806 -1.5697823998965754 occupation=Protective-serv
0.6662017273327957 0.6931320323842041 occupation=Armed-Forces
2.0160044861488804 -0.04459195361060051 relationship=Wife
0.4024140741380051 1.7625951443549603 relationship=Own-child
-1.0667207718310574 -1.4334002718165129 relationship=Husband
-2.1380620325899753 -1.1161021432844784 relationship=Not-in-family
-0.7516101620526378 -0.3827832398388128 relationship=Other-relative
0.8453598562079526 0.7807305128052845 relationship=Unmarried
-0.5447411406513879 -0.9694388447020011 race=White
3.084930551798278 -0.21951263661713266 race=Asian-Pac-Islander
-0.6931221886647843 0.3154147642317856 race=Amer-Indian-Eskimo
-1.123984757725354 1.5747179347386144 race=Other
1.5580089154410848 -0.17104431103718268 race=Black
-0.007010993102429232 0.5360588947172196 sex
1.0253068504359508 -1.1287029090759453 capital-gain
1.1162458050395176 -2.8210896050430927 capital-loss
2.3654651548549976 0.9698978588157893 hours-per-week
-0.1479002624234692 -0.10596810042558512 native-country=United-States
0.15719822681953546 -1.763668944802118 native-country=Cambodia
-1.1586986039049156 0.7046686257170266 native-country=England
-0.6588451055285908 1.3999017883943965 native-country=Puerto-Rico
2.012534565449353 -1.59427704586677 native-country=Canada
-0.29923145363238673 0.42554984486430614 native-country=Germany
0.9946057144283963 -0.7311527821274262 native-country=Outlying-US(Guam-USVI-etc)
-0.3063705907667734 -0.6431873538675013 native-country=India
-0.5457870656950236 -0.7113685620322594 native-country=Japan
0.04787131219780055 0.955322817863621 native-country=Greece
1.0701199757176025 -0.8645133192051057 native-country=South
-0.9282839778698676 0.5857476267333848 native-country=China
0.04974921295689599 1.7928652968194918 native-country=Cuba
0.6405425752500851 -0.8851283650126056 native-country=Iran
-0.4039585442846428 0.6309238063024821 native-country=Honduras
-0.9041955490832196 0.3175445320386983 native-country=Philippines
-0.7343859560930304 -0.32977162821194506 native-country=Italy
-1.6239717345676485 1.180329376517343 native-country=Poland
-0.5522547764280183 -0.8281717960359741 native-country=Jamaica
-0.21944508650312283 0.11374876004524868 native-country=Vietnam
7.287710126353188E-4 -0.8455750180919344 native-country=Mexico
-0.7698764975482976 0.8021308616493861 native-country=Portugal
0.28415121443704255 -0.4166016190877203 native-country=Ireland
0.11207903654638048 -0.20696379665503864 native-country=France
-0.7412878434265107 -0.8618247398375941 native-country=Dominican-Republic
0.7660137602620585 1.4946287623529684 native-country=Laos
0.6094839196751628 1.8982309356694447 native-country=Ecuador
-0.6607767672478356 -0.5577073385581968 native-country=Taiwan
0.3981745958979282 0.020915453089959655 native-country=Haiti
0.6046285471875105 -0.33740947387841774 native-country=Columbia
0.953237646871716 -0.7275963298065744 native-country=Hungary
-0.5287768591769645 -0.4773210573996193 native-country=Guatemala
0.7393313621690681 -0.3622064867669771 native-country=Nicaragua
-0.4757313892303165 0.9996228658028897 native-country=Scotland
0.7837703539927358 -0.8038035385542551 native-country=Thailand
0.6546565754343804 -0.524168169764089 native-country=Yugoslavia
-0.1450227781629318 0.3426186937921517 native-country=El-Salvador
0.5036959083549274 -0.4479671218391842 native-country=Trinadad&Tobago
-0.46096789538327726 0.12071419431494011 native-country=Peru
-0.39924332995247364 0.6819445586402622 native-country=Hong
-0.39337765153049414 1.0366548390825405 native-country=Holand-Netherlands
Hidden Weights:
5.632566519785168 -5.632969644210191
-6.211174422224735 6.211476038942531
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 478 92.8155 %
Incorrectly Classified Instances 37 7.1845 %
Mean absolute error 0.1986
Root mean squared error 0.2665
Relative absolute error 57.5245 %
Root relative squared error 64.1856 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
89 25 | a = >50K
12 389 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 413 80.1942 %
Incorrectly Classified Instances 102 19.8058 %
Mean absolute error 0.2629
Root mean squared error 0.3728
Relative absolute error 74.9512 %
Root relative squared error 88.4147 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
54 65 | a = >50K
37 359 | b = <=50K
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