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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.2921651923882511 -0.8455874900385763 age
-0.15693755749452776 0.6654289192773923 workclass=Private
-0.512854669552141 -0.21117862910800822 workclass=Self-emp-not-inc
-0.520176647065046 0.7794922714718628 workclass=Self-emp-inc
0.9247304170075044 0.5486835164961423 workclass=Federal-gov
0.9840373856644857 0.2592218143040954 workclass=Local-gov
0.873467024619532 -0.493875113152042 workclass=State-gov
-0.549259053184947 -0.48656161192586134 workclass=Without-pay
0.9537761581334938 -0.21752632762695145 workclass=Never-worked
0.20677870597458314 0.09583793103900962 fnlwgt
0.44002194783801274 0.12680146206169152 education=Bachelors
-0.9226053918747574 0.20457520599746237 education=Some-college
0.5003290204258377 0.7841574075606825 education=11th
0.5517721667502986 0.5708082418178477 education=HS-grad
0.026380651786980458 0.8484158136705022 education=Prof-school
0.7653085537658166 -0.37140784964301576 education=Assoc-acdm
-0.7550751075360727 -0.944835648276475 education=Assoc-voc
-0.35695188751058304 0.8630957756505433 education=9th
0.8943385095314691 -0.35891263058708045 education=7th-8th
0.3604776593321939 -0.38495574026454826 education=12th
-0.6047031156296414 -0.3170719929915249 education=Masters
0.46112025689493197 0.9410126426879815 education=1st-4th
0.2400764317264028 -0.71983009473834 education=10th
0.8551379154383953 -0.9500795983218364 education=Doctorate
-0.5402708700697738 0.4536442190011154 education=5th-6th
-0.31670682715121456 0.607750354392121 education=Preschool
0.2855163317510978 0.9336658269592539 education-num
-0.8162975409976343 -0.8291532387147611 marital-status=Married-civ-spouse
0.3775289802463375 0.6861159511495907 marital-status=Divorced
-0.3938284393958471 -0.8874138504243778 marital-status=Never-married
-0.2799492808597088 -0.5030584013923778 marital-status=Separated
0.5856097497602348 0.6819637521158106 marital-status=Widowed
0.544398904217597 0.9724145372246658 marital-status=Married-spouse-absent
0.7609044918604277 0.9026551530002662 marital-status=Married-AF-spouse
-0.40609585112048485 0.5255137638363421 occupation=Tech-support
0.7012818460817511 -0.3919068430535624 occupation=Craft-repair
0.4443164624583922 0.26304070338096674 occupation=Other-service
-0.8850962704983318 0.3265064040506489 occupation=Sales
0.2819613571516424 -0.03762348399497517 occupation=Exec-managerial
-0.055654738822058514 -0.6121096550757839 occupation=Prof-specialty
0.9608592841439567 0.6737212459088988 occupation=Handlers-cleaners
0.22447581915116221 0.5244898597122758 occupation=Machine-op-inspct
0.8419761694268846 0.8895476946382697 occupation=Adm-clerical
-0.24228126042829534 -0.5267454832228511 occupation=Farming-fishing
-0.010258843399330031 -0.9820691274599866 occupation=Transport-moving
0.8610132807278263 -0.6476519093765181 occupation=Priv-house-serv
0.9836526212646155 0.2542102234528627 occupation=Protective-serv
0.11312666984660757 -0.3426518990096732 occupation=Armed-Forces
-0.28934894765704766 -0.6163180663207961 relationship=Wife
0.4790907928970929 -0.016784292859653993 relationship=Own-child
0.9451680170627343 0.9280312387638767 relationship=Husband
0.05304909403635105 0.4961542439938429 relationship=Not-in-family
-0.19968245785759509 -0.9249229214544388 relationship=Other-relative
0.42801765506076017 -0.18044277698613675 relationship=Unmarried
-0.15871372879757617 0.5539438265522874 race=White
0.20107245620639813 -0.48141997166765216 race=Asian-Pac-Islander
-0.019952216084985208 0.9285740713283228 race=Amer-Indian-Eskimo
0.029099238641933756 0.5204024120102615 race=Other
0.5022873394769953 0.41787812057631135 race=Black
-0.01894100481774985 0.4376908859620492 sex
0.5898186789605635 0.3908646072333797 capital-gain
-0.4509352455500226 0.31056571769002494 capital-loss
0.46551679351397457 -0.9463661660513218 hours-per-week
0.7875050024378818 0.28073936450449066 native-country=United-States
0.3673258824315877 -0.190278412965329 native-country=Cambodia
0.6958198795431381 -0.7126347070175816 native-country=England
0.6114380508555748 0.4472878010134458 native-country=Puerto-Rico
-0.4610878348832168 -0.7517696468132153 native-country=Canada
0.28422482930071014 -0.8588764194187595 native-country=Germany
-0.4541116163506964 -0.8233152358845002 native-country=Outlying-US(Guam-USVI-etc)
0.9536479418147163 -0.4467665722222638 native-country=India
0.9229481111219169 0.19234263852467604 native-country=Japan
-0.8468744909649213 -0.28458241183163024 native-country=Greece
0.7836074543243505 0.9140490084563235 native-country=South
-0.7026062460607074 0.3671525974697245 native-country=China
-0.7933731336463627 0.8726041614298605 native-country=Cuba
0.7677312990236169 -0.16776613067040835 native-country=Iran
-0.2096534024248191 0.5377136906497495 native-country=Honduras
0.873708434035793 0.021923569527793063 native-country=Philippines
-0.2633080217125481 0.6017978225205818 native-country=Italy
-0.425160099207174 -0.231678869031404 native-country=Poland
0.467721769826118 0.17959603264033963 native-country=Jamaica
-0.363640439228768 0.2806714309303091 native-country=Vietnam
0.1948383996660512 -0.46234836916602795 native-country=Mexico
0.3007533109455851 -0.715577659917634 native-country=Portugal
-0.28801955969592896 0.42620240340618354 native-country=Ireland
0.6763837198318654 -0.6031297387837842 native-country=France
0.2993629372602786 -0.29405474262050935 native-country=Dominican-Republic
0.5659704329023489 0.906764575919621 native-country=Laos
0.17743565625325974 0.9955372505609761 native-country=Ecuador
0.164058796874488 0.5946104429860808 native-country=Taiwan
-0.040714634707666564 -0.14175595701129828 native-country=Haiti
0.32086581993799945 -0.8643096655537557 native-country=Columbia
-0.6249691627058089 0.5373044397404563 native-country=Hungary
0.37074207985305163 0.3928466436118401 native-country=Guatemala
-0.11106416638184458 -0.5274513432922157 native-country=Nicaragua
-0.0786150641926684 -0.7015901079548552 native-country=Scotland
-0.7521800966462064 -0.5874579398634003 native-country=Thailand
0.6530824817620231 0.6556456664138464 native-country=Yugoslavia
-0.6195426123884045 0.5977270357894457 native-country=El-Salvador
-0.16238518400461932 0.01480800371741986 native-country=Trinadad&Tobago
0.14835081382094106 -0.4548415992517718 native-country=Peru
0.7996918657232222 0.5961562961047999 native-country=Hong
-0.691374203677622 -0.17732611171330404 native-country=Holand-Netherlands
Hidden Weights:
0.6136425479591694 0.8616654961003078
0.8454390390960851 0.9952265167353549
>50K <=50K
Error sum for iteration 100 = 67.04041734517371
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.2626314929949021 -1.0866087411611123 age
-0.13703672274672618 0.9223336186249204 workclass=Private
-0.5036137352634961 -0.1367056398639249 workclass=Self-emp-not-inc
-0.5532201784068884 0.5682485305647389 workclass=Self-emp-inc
0.9153432153975378 0.3720791818710073 workclass=Federal-gov
0.9897271870197072 0.33974458127637863 workclass=Local-gov
0.8675322513563704 -0.4990171976827807 workclass=State-gov
-0.550225762886615 -0.4852108765329402 workclass=Without-pay
0.9528094484318259 -0.21617559223403032 workclass=Never-worked
0.20958927393607665 0.11739305824696837 fnlwgt
0.42494555566179665 -0.21980576185844491 education=Bachelors
-0.9082020004916455 0.3019197759477729 education=Some-college
0.5067539952477425 0.9391087626991201 education=11th
0.5538856790139088 0.8882041637920851 education=HS-grad
0.0034661759016716065 0.6910217293141775 education=Prof-school
0.7654489528890506 -0.37004561078372716 education=Assoc-acdm
-0.7607970852485723 -0.952096601861432 education=Assoc-voc
-0.34930453226886854 0.9366092510275438 education=9th
0.8919488878714559 -0.3592476778875017 education=7th-8th
0.3592064820272142 -0.4024398814080985 education=12th
-0.6262370487301423 -0.5158590637347799 education=Masters
0.4618192414776422 0.9816386120133463 education=1st-4th
0.24557992011579213 -0.6187058438112707 education=10th
0.8462207724670056 -1.0561055081297512 education=Doctorate
-0.5219938027188065 0.524957164924824 education=5th-6th
-0.31729231233681704 0.6164317072033545 education=Preschool
0.23733223590030228 0.48528504455818045 education-num
-0.9371359694642599 -1.985643677548232 marital-status=Married-civ-spouse
0.38327894287473885 0.7570307374198549 marital-status=Divorced
-0.29801457705221174 0.013128027595168868 marital-status=Never-married
-0.27580750471822896 -0.4181591901294552 marital-status=Separated
0.586887018584466 0.762972171032585 marital-status=Widowed
0.5446722053777644 1.008837051008948 marital-status=Married-spouse-absent
0.7599861037042001 0.9056198144737685 marital-status=Married-AF-spouse
-0.41329691466427393 0.4641363247362313 occupation=Tech-support
0.7123436834474712 -0.12240868828338092 occupation=Craft-repair
0.46212685730123787 0.4812508948255347 occupation=Other-service
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0.23620529735834106 -0.6447222388388191 occupation=Exec-managerial
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0.9641994892727755 0.7968748687889328 occupation=Handlers-cleaners
0.2238642281385411 0.559982143465544 occupation=Machine-op-inspct
0.8417037675178068 0.8614292606899144 occupation=Adm-clerical
-0.24182356540178432 -0.4663060696141886 occupation=Farming-fishing
0.01493711077148015 -0.7126390315844273 occupation=Transport-moving
0.8600465710261584 -0.6463011739835978 occupation=Priv-house-serv
0.9825386215797397 0.203860179308525 occupation=Protective-serv
0.1123288468577872 -0.3334960643142015 occupation=Armed-Forces
-0.3170818891894211 -0.7977245695728707 relationship=Wife
0.5206612825867357 0.4296146843171547 relationship=Own-child
0.8392152628625039 -0.07502557004407691 relationship=Husband
0.10080015365441404 0.8699038003156975 relationship=Not-in-family
-0.1736474229832137 -0.7682343125593799 relationship=Other-relative
0.43281283078800364 0.04609368818106222 relationship=Unmarried
-0.17678016058687587 0.3669655264758105 race=White
0.1885909612359122 -0.5199881361350737 race=Asian-Pac-Islander
-0.017584158466298197 0.9622523161449897 race=Amer-Indian-Eskimo
0.03330611006917642 0.5601377570493236 race=Other
0.5136931110692498 0.5875705553724486 race=Black
-0.045273630877637444 0.11562073569356128 sex
0.5871570107771089 0.3832931156547747 capital-gain
-0.47154766833130046 0.2303165435316252 capital-loss
0.43872522466685526 -1.1660732943430934 hours-per-week
0.7607994657856479 0.1206232785049855 native-country=United-States
0.36335249418699045 -0.20309169981957143 native-country=Cambodia
0.6957881130278147 -0.6836583090826075 native-country=England
0.6125154802687192 0.47968228056463397 native-country=Puerto-Rico
-0.4636391756225319 -0.762650952981865 native-country=Canada
0.2854106046996281 -0.8294332615061688 native-country=Germany
-0.45507832605235277 -0.8219645004915799 native-country=Outlying-US(Guam-USVI-etc)
0.9519702652344729 -0.45215324298287923 native-country=India
0.921981401420249 0.19369337391759717 native-country=Japan
-0.8478412006665892 -0.2832316764387132 native-country=Greece
0.7801855644151536 0.8856212541416935 native-country=South
-0.7035729557623753 0.36850333286264153 native-country=China
-0.7893722697395079 0.900723750096286 native-country=Cuba
0.7630606246806582 -0.20822527853226125 native-country=Iran
-0.21839691147815268 0.5113998458500858 native-country=Honduras
0.874779346653832 0.04795436280604102 native-country=Philippines
-0.263870663360744 0.6075912089299734 native-country=Italy
-0.42237595568208486 -0.20595932621517232 native-country=Poland
0.46682573733638577 0.18183091485521247 native-country=Jamaica
-0.36460714893042434 0.28202216632322613 native-country=Vietnam
0.21605816054742039 -0.37164468709804926 native-country=Mexico
0.30290679166478157 -0.6909154810825086 native-country=Portugal
-0.2889862693975853 0.42755313879910056 native-country=Ireland
0.6759298400620629 -0.5933222907593867 native-country=France
0.2986270551264015 -0.2886149067101907 native-country=Dominican-Republic
0.5673694969539392 0.9235476707352746 native-country=Laos
0.17704676734333946 1.0113030315002522 native-country=Ecuador
0.15899216693396023 0.5703003874271507 native-country=Taiwan
-0.04086207874124897 -0.1351434179913593 native-country=Haiti
0.3204264238490707 -0.8535667343724551 native-country=Columbia
-0.6259358724074768 0.5386551751333766 native-country=Hungary
0.3697753701513953 0.3941973790047571 native-country=Guatemala
-0.1120308760835069 -0.5261006078992954 native-country=Nicaragua
-0.07958177389433072 -0.7002393725619349 native-country=Scotland
-0.7599762877128583 -0.5984928544280913 native-country=Thailand
0.6521157720603552 0.6569964018067667 native-country=Yugoslavia
-0.6190394046407164 0.6041653864536011 native-country=El-Salvador
-0.16335189370627992 0.0161587391103408 native-country=Trinadad&Tobago
0.14738410411928046 -0.4534908638588548 native-country=Peru
0.7987251560215543 0.5975070314977202 native-country=Hong
-0.6923409133792899 -0.1759753763203829 native-country=Holand-Netherlands
Hidden Weights:
0.44444980387435185 0.37047273479376724
-1.5336403353086938 2.00227807908598
>50K <=50K
Error sum for iteration 200 = 65.99536219789837
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.2818217399177073 -1.1059227947065275 age
-0.1118907303458046 0.9865710340944213 workclass=Private
-0.5162874296699383 0.32697144031871295 workclass=Self-emp-not-inc
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0.9252926354848368 0.02666212895519649 workclass=Federal-gov
0.984423498431195 0.6781911006805805 workclass=Local-gov
0.8727008400748182 -0.2630858646942416 workclass=State-gov
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0.9568559256496066 -0.1818101820763226 workclass=Never-worked
0.21312569349641639 0.15846978052375904 fnlwgt
0.4260221757094067 -0.4334223988716948 education=Bachelors
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0.504942350099885 1.256677535041502 education=11th
0.5624012148645393 1.2276679780492241 education=HS-grad
0.029527950894965526 0.44612788888837057 education=Prof-school
0.7693316606751883 -0.37739074448220944 education=Assoc-acdm
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0.8964449767304831 -0.28846521737406866 education=7th-8th
0.3637949034175697 -0.3851769077529766 education=12th
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0.4639908561912699 1.1094549914495913 education=1st-4th
0.24366719953582378 -0.3702470245953077 education=10th
0.8561362480551837 -1.1834785937651464 education=Doctorate
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0.28784892768141634 -0.010829491958583015 education-num
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0.030947628748939686 0.6750259703552647 race=Other
0.5098931438305441 0.7860615222463341 race=Black
-0.017749822483498316 0.32675620273385503 sex
0.5931538321610017 0.3956315734803816 capital-gain
-0.4439476678543355 0.05726613043832217 capital-loss
0.46955378066262565 -1.3547305274591221 hours-per-week
0.8021082670873638 -0.07841465391218244 native-country=United-States
0.3703206664543253 -0.21243561805398875 native-country=Cambodia
0.6990663396848658 -0.5788981645443612 native-country=England
0.613843809890824 0.5998568381571673 native-country=Puerto-Rico
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0.287992802078369 -0.7407039574571121 native-country=Germany
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0.9565204491069615 -0.42322253254392 native-country=India
0.9260278786380297 0.2280587840753049 native-country=Japan
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0.7700691438190663 -0.21576429165026037 native-country=Iran
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0.8771807594829121 0.14937302926625723 native-country=Philippines
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0.47080881979573413 0.2163995708796601 native-country=Jamaica
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0.20906112551602554 -0.16188179839280173 native-country=Mexico
0.3027621006244513 -0.5479263491437797 native-country=Portugal
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0.6797263807286328 -0.5521556281749741 native-country=France
0.30259485894011084 -0.25346374713313846 native-country=Dominican-Republic
0.5688254896123748 1.0098335132572371 native-country=Laos
0.18026638509297654 1.0984885727764817 native-country=Ecuador
0.16685327473185907 0.572588331190686 native-country=Taiwan
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0.3241368220137266 -0.8078537819491268 native-country=Columbia
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0.3738218473691744 0.4285627891624688 native-country=Guatemala
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0.6561622492781359 0.6913618119644761 native-country=Yugoslavia
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0.15143058133706144 -0.41912545370114307 native-country=Peru
0.802771633239335 0.6318724416554297 native-country=Hong
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Hidden Weights:
0.7889283100886283 0.03984993583006096
-2.7179889730569986 2.7962377533737457
>50K <=50K
Error sum for iteration 300 = 64.28014370103996
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.27750360341181063 -1.0993863393968974 age
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0.9304743932124977 -0.24358476092611805 workclass=Federal-gov
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0.21167459518860926 0.13638188251382033 fnlwgt
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0.4608783437714086 1.203058748679997 education=1st-4th
0.23246810582458102 -0.06850929892683048 education=10th
0.8622512909412939 -1.2943286724441663 education=Doctorate
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0.29475116224262915 -0.27831019554788666 education-num
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0.7629765330778013 0.9633689783391615 marital-status=Married-AF-spouse
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0.8323815527355874 0.611036977408587 occupation=Adm-clerical
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0.013978941148186208 0.7765423209094396 race=Other
0.49732314685925866 0.7901720237151515 race=Black
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0.5965075545606351 0.3935418847247888 capital-gain
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0.4795529097412623 -1.5482268919265745 hours-per-week
0.7997154301050522 -0.22781049522572416 native-country=United-States
0.37538182378851614 -0.2988237803789911 native-country=Cambodia
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0.20031280405913565 -0.11812050051137148 native-country=Mexico
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0.6785376991589538 -0.5269801033344267 native-country=France
0.30158834743537133 -0.2312067052989229 native-country=Dominican-Republic
0.562472998643558 1.098048508783465 native-country=Laos
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0.171020695533291 0.5662533139514906 native-country=Taiwan
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0.32271403754141753 -0.7761182649270546 native-country=Columbia
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0.3728403023230484 0.45072131479453054 native-country=Guatemala
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0.6551807042320121 0.713520337596546 native-country=Yugoslavia
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0.15044903629092896 -0.39696692806908135 native-country=Peru
0.8017900881932112 0.6540309672874995 native-country=Hong
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Hidden Weights:
0.9535457960385585 -0.1492947451393681
-3.2065869676722114 3.2143751760562522
>50K <=50K
Error sum for iteration 400 = 64.44620357616338
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.2649846675859305 -1.070674911333187 age
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0.21084188719637803 0.075530046773671 fnlwgt
0.346127120596395 -0.31880643682385246 education=Bachelors
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0.3639563622627395 -0.43622735706315846 education=12th
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0.4567865956178048 1.2723733204388485 education=1st-4th
0.21967713069025635 0.20624807717103424 education=10th
0.8676043158787614 -1.3907394065663157 education=Doctorate
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0.28423250641064135 -0.4308757089253626 education-num
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0.760990117992215 0.9776271740104694 marital-status=Married-AF-spouse
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0.7998206581481501 0.6680928509265596 native-country=Hong
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Hidden Weights:
1.0658477490729703 -0.29311656813191533
-3.488871337242197 3.4792153974369193
>50K <=50K
Error sum for iteration 500 = 65.64562510272974
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.25053792627443894 -1.0520942551281482 age
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0.47193104060200575 0.646371318989171 race=Black
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0.6046945388166313 0.36975218503492946 capital-gain
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0.47301878473152564 -1.7409286960727344 hours-per-week
0.7536008219491764 -0.19248173783876055 native-country=United-States
0.39239102184011865 -0.6020543478231539 native-country=Cambodia
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0.6741320528329199 -0.4991678987130199 native-country=France
0.2975764406503066 -0.20730424139051445 native-country=Dominican-Republic
0.5459018603558328 1.2331995989781435 native-country=Laos
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0.3175700784742561 -0.7353086049526042 native-country=Columbia
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Hidden Weights:
1.1745771746353533 -0.4368044854995088
-3.7257405066398612 3.709274885222168
>50K <=50K
Error sum for iteration 600 = 67.27857231726477
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.2370636749755192 -1.0557832313787059 age
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Hidden Weights:
1.2922081795562088 -0.5924592984289099
-3.9740136640944703 3.9525435870162644
>50K <=50K
Error sum for iteration 700 = 68.49390959474593
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.2239505283666142 -1.0699743158271882 age
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Hidden Weights:
1.4073549822638651 -0.7466536296656979
-4.234056414437262 4.207699125128211
>50K <=50K
Error sum for iteration 800 = 69.12302198822408
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
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0.6274206831905818 0.3111516081369285 capital-gain
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Hidden Weights:
1.5091181358041101 -0.885595461344314
-4.47666887402218 4.4462270795358325
>50K <=50K
Error sum for iteration 900 = 69.5278391892875
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.1857386685952678 -1.055348975968665 age
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Hidden Weights:
1.5982015621760548 -1.0090083214418288
-4.686381007999101 4.652638918227513
>50K <=50K
Error sum for iteration 1000 = 69.95927906412884
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.15967521623046435 -1.024166971910037 age
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Hidden Weights:
1.6782213705396825 -1.1216023602487413
-4.865226874164069 4.828075216115064
>50K <=50K
Error sum for iteration 1100 = 70.49869302483016
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.13150619625342513 -0.9859787849881759 age
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0.653589955068196 0.24248932450132463 capital-gain
0.07600703276545316 -2.2487516273391783 capital-loss
0.3521803359183412 -1.202273959376899 hours-per-week
0.7387226643111237 0.24664101964088553 native-country=United-States
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Hidden Weights:
1.752078982852296 -1.2280637220031656
-5.020131187166519 4.978628976563177
>50K <=50K
Error sum for iteration 1200 = 71.11532576667489
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
1.8222071608589707 -1.3325070719492629
-5.157257339770363 5.110038104995033
>50K <=50K
Error sum for iteration 1300 = 71.71609100799654
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
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0.3371005563815434 -0.03639987302016141 native-country=Taiwan
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0.29877075131486647 -0.6114231409199599 native-country=Columbia
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0.3648747600202156 0.503903690858514 native-country=Guatemala
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0.6472151619291544 0.7667027136605084 native-country=Yugoslavia
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0.142483493988073 -0.343784552005073 native-country=Peru
0.7938245458903535 0.7072133433514619 native-country=Hong
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Hidden Weights:
1.8907724711282439 -1.4381428656016408
-5.2807837470817915 5.226620241985522
>50K <=50K
Error sum for iteration 1400 = 72.21923127136516
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.06024506016255224 -0.8731717278829604 age
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0.24783601515734338 -0.3200202473242318 fnlwgt
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0.12902593830771808 1.1933327616676561 education=10th
0.8963119456722543 -1.8449679451977896 education=Doctorate
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0.5365034675535751 0.24222606814254927 race=Black
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0.23802880055413433 -2.5195752181777302 capital-loss
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0.7518165486506182 0.3162676216159992 native-country=United-States
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0.16496282765878306 -0.6490247387600495 native-country=Mexico
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0.6634917942282405 -0.42711526059838406 native-country=France
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0.6469236860222166 0.7681924022759168 native-country=Yugoslavia
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0.14219201808113274 -0.34229486338967313 native-country=Peru
0.7935330699834157 0.7087030319668703 native-country=Hong
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Hidden Weights:
1.9595995137432733 -1.5467501312194847
-5.393191099564055 5.331572634000179
>50K <=50K
Error sum for iteration 1500 = 72.59824984607893
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.046835485251963294 -0.8442632068895066 age
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0.25821991152044 -0.3200412318606742 fnlwgt
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0.40408060788497147 1.6823597313145804 education=1st-4th
0.12102596495644208 1.2344330027723707 education=10th
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Hidden Weights:
2.030167094401271 -1.658726514968139
-5.496059829473948 5.42747038525871
>50K <=50K
Error sum for iteration 1600 = 72.86761603988774
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.039081374024523295 -0.8206366169968978 age
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0.9732017349345221 -0.783990067657737 native-country=India
0.9174199857560864 0.30793778553663337 native-country=Japan
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0.9085668363813915 -0.47280849514837475 native-country=South
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0.1545105472674103 -0.6786755896802442 native-country=Mexico
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0.6618154753406925 -0.41425173416794436 native-country=France
0.29396737366479603 -0.17350895592843463 native-country=Dominican-Republic
0.4843777576379345 1.4945784198410994 native-country=Laos
0.13042890262686715 1.7170773125337881 native-country=Ecuador
0.40964437193776515 -0.19388252917741297 native-country=Taiwan
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0.28913333564951976 -0.5779558467057068 native-country=Columbia
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0.36521395448725136 0.508441790623776 native-country=Guatemala
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0.6475543563961926 0.7712408134257703 native-country=Yugoslavia
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0.14282268845509904 -0.3392464522398135 native-country=Peru
0.7941637403573917 0.7117514431167239 native-country=Hong
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Hidden Weights:
2.1036883854221524 -1.7737384952096908
-5.590650232275429 5.5164299924919575
>50K <=50K
Error sum for iteration 1700 = 73.06043009388934
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.03631884226853082 -0.8014530049712192 age
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1.0674235188019139 0.9915923945794006 workclass=State-gov
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0.10617879772103164 1.3063965796440138 education=10th
0.8931390164831384 -1.8472914568306629 education=Doctorate
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0.3322253691310527 -1.565587258303645 education-num
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0.6180900360976821 0.24225523132820218 race=Black
0.20720774642325737 0.2735520741257474 sex
0.7186195119613186 0.08285485179978974 capital-gain
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Hidden Weights:
2.181120839302242 -1.8913016956464075
-5.678118441772918 5.60009802646885
>50K <=50K
Error sum for iteration 1800 = 73.20218035913744
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.037772955489414506 -0.7856319847397497 age
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0.307473290205471 -0.33184264176490563 fnlwgt
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0.8917403742914739 -1.8438980553437305 education=Doctorate
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Hidden Weights:
2.263132267921064 -2.0110154610223865
-5.759561935312183 5.679700317916985
>50K <=50K
Error sum for iteration 1900 = 73.31345426948242
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.042720684085990925 -0.772144071130274 age
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0.6867368476201089 0.24437979692882345 race=Black
0.3292799063743377 0.33858329997293524 sex
0.7443123131714618 0.02874531619542033 capital-gain
0.49542106759028687 -2.727336115662299 capital-loss
0.14331607708259783 -0.8130008601868716 hours-per-week
0.8164069163568813 0.4070509628521046 native-country=United-States
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0.661281705003006 -0.39681281195582685 native-country=France
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0.2812844253376572 -0.5499840367668887 native-country=Columbia
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Hidden Weights:
2.3501058650830164 -2.132592115277108
-5.836015415214874 5.756149637897677
>50K <=50K
Error sum for iteration 2000 = 73.40396745337908
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.050538873452089544 -0.7601174594975251 age
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0.3550147218668442 -0.3551155728451547 fnlwgt
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0.3932769347973904 0.3671437584272865 sex
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0.7983261988658864 0.7177292208634158 native-country=Hong
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Hidden Weights:
2.4421845344978617 -2.2558268525996725
-5.908439991244561 5.8301522790336575
>50K <=50K
Error sum for iteration 2100 = 73.47760882252412
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.06070867326531391 -0.7488629648454653 age
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0.8862485636197418 -1.8255772634463434 education=Doctorate
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0.38026477866172037 -1.724603794011235 education-num
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0.6617940543036686 -0.38648892540844304 native-country=France
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0.6530459399834067 0.7786623949005075 native-country=Yugoslavia
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0.7996553239446057 0.719173024591461 native-country=Hong
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Hidden Weights:
2.5393180026296784 -2.3805589590602603
-5.977719691890651 5.9022886618530155
>50K <=50K
Error sum for iteration 2200 = 73.52491177863142
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.07281510535961602 -0.7378823483834682 age
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0.07631620337980849 1.4394853954136686 education=10th
0.88393332440104 -1.8173180267262763 education=Doctorate
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0.3906492029907299 -1.7564411130124 education-num
-1.657765928163659 -2.525580971683203 marital-status=Married-civ-spouse
0.30843565018269453 0.2575638459215864 marital-status=Divorced
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0.06209301351416631 -0.03679665815882336 race=White
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0.813057686854069 0.24870568934925466 race=Black
0.5210821176464829 0.4146048328606742 sex
0.785846878724826 -0.04845511910109272 capital-gain
0.6441691607665075 -2.7869142571541934 capital-loss
0.08006541912222401 -0.778739281290554 hours-per-week
0.8492777579395561 0.4532244786976364 native-country=United-States
0.5941044478804132 -2.623022052934523 native-country=Cambodia
0.6278619924141178 0.3908966687084935 native-country=England
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0.996585550957072 -0.9435520256964798 native-country=India
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0.9767080999138834 -0.7492713641418307 native-country=South
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0.47199428088393175 0.30357264088276315 native-country=Jamaica
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0.11699232361176597 -0.7239553312744543 native-country=Mexico
0.1858773395971031 1.3472585850005971 native-country=Portugal
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0.6622780610334352 -0.38166214635250634 native-country=France
0.30089972778449875 -0.16478151762841123 native-country=Dominican-Republic
0.4926443627353427 1.4988792851623627 native-country=Laos
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0.5482705196253939 -0.4078417019644294 native-country=Taiwan
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0.14971508319788532 -0.33038575211001775 native-country=Peru
0.8010561351001517 0.7206121432465198 native-country=Hong
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Hidden Weights:
2.641289005602879 -2.506628557239303
-6.044664039282517 5.973065134064588
>50K <=50K
Error sum for iteration 2300 = 73.53491719045839
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.08655851240924801 -0.7268779970999033 age
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0.9346897831558345 -0.4808843631134543 workclass=Federal-gov
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1.4420806267266513 1.1174814340287114 workclass=State-gov
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0.9566018931079887 -0.09162817413544895 workclass=Never-worked
0.4484410005248979 -0.4129616121830882 fnlwgt
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0.8007900535775089 -0.07323804542236058 capital-gain
0.6932897384268534 -2.7986567651688503 capital-loss
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1.0006042304147842 -0.9610491731847106 native-country=India
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0.2720118271268041 -0.5170227933286036 native-country=Columbia
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0.37356781482760054 0.5187447971033234 native-country=Guatemala
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0.655908216736518 0.7815438199053177 native-country=Yugoslavia
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0.1511765487954474 -0.32894344576026596 native-country=Peru
0.802517600697717 0.7220544495962713 native-country=Hong
-0.6885484687031271 -0.05142795822179819 native-country=Holand-Netherlands
Hidden Weights:
2.747713797378783 -2.633825958269723
-6.110010334490696 6.042939854901855
>50K <=50K
Error sum for iteration 2400 = 73.49662234135533
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.10178425355992982 -0.7157488816293919 age
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0.1526826832668289 -0.3274949905903437 native-country=Peru
0.8040237351691023 0.7235029047661783 native-country=Hong
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Hidden Weights:
2.8580264919576326 -2.761839071865166
-6.174422341191397 6.112328670192381
>50K <=50K
Error sum for iteration 2500 = 73.40055826130576
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.1185244627881844 -0.7045480324628055 age
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0.002331252557888674 1.5216638167972247 workclass=Self-emp-not-inc
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0.9596341120050826 -0.08872794265262456 workclass=Never-worked
0.5222718761552604 -0.4628346615870188 fnlwgt
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0.0633073352481477 1.4954420095124752 education=10th
0.8752557098758357 -1.787428709960703 education=Doctorate
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0.7039203425743934 0.4633683254916514 sex
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0.805549819594811 0.7249546810790921 native-country=Hong
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Hidden Weights:
2.971469343145342 -2.890216261542302
-6.23848529949494 6.181599086028369
>50K <=50K
Error sum for iteration 2600 = 73.24377458965938
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.13702677052337442 -0.6933982066968656 age
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4.631462001999142E-4 1.521316459730239 workclass=Self-emp-not-inc
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0.9611488349924914 -0.08727993485933261 workclass=Never-worked
0.5605872104261027 -0.48980968472100334 fnlwgt
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Hidden Weights:
3.087115483433249 -3.018366041190746
-6.302695039108034 6.251057541511714
>50K <=50K
Error sum for iteration 2700 = 73.03553962088922
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.15773877426335245 -0.6823975959935081 age
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0.07129461094584837 -0.7006921043247355 native-country=Mexico
0.18041345438653486 1.527395791628756 native-country=Portugal
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0.6666083157988779 -0.3606259496505679 native-country=France
0.30838915268101363 -0.15760033355659533 native-country=Dominican-Republic
0.5057101840140878 1.4842792475505497 native-country=Laos
0.09663767302435548 1.9557718427308248 native-country=Ecuador
0.6739651079915026 -0.544334071275301 native-country=Taiwan
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0.26072435496762447 -0.4819107386993975 native-country=Columbia
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0.37958732746962265 0.524528900900787 native-country=Guatemala
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0.661927729378519 0.7873279237027813 native-country=Yugoslavia
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0.15719606143746817 -0.3231593419628131 native-country=Peru
0.808537113339718 0.7278385533937348 native-country=Hong
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Hidden Weights:
3.2039350837581124 -3.145601084074812
-6.367437796969395 6.320930861430859
>50K <=50K
Error sum for iteration 2800 = 72.78364312400772
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.18124103584488954 -0.6715578912632012 age
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0.8961612041565888 -0.4723783217673626 workclass=Federal-gov
0.22531462102011304 0.8793530899323821 workclass=Local-gov
1.9240022281906564 1.24110808076393 workclass=State-gov
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0.9640287715465452 -0.084427322715375 workclass=Never-worked
0.6357036792031887 -0.5456155246416655 fnlwgt
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0.8635541020699201 -1.7509479701437847 education=Doctorate
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0.4636890434669211 -1.885726878870415 education-num
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0.7749610203201299 1.0356129070253537 marital-status=Married-AF-spouse
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1.1126930157708217 0.27830336181426313 race=Black
0.8716867537347119 0.4968079261473859 sex
0.8860177486831925 -0.19440398487189653 capital-gain
0.939195336815379 -2.8098820103726583 capital-loss
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0.6633350951750745 0.7887446713253984 native-country=Yugoslavia
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0.8099444791362735 0.7292553010163519 native-country=Hong
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Hidden Weights:
3.320888150164252 -3.2712102804570296
-6.432965321175269 6.391345571546065
>50K <=50K
Error sum for iteration 2900 = 72.49805841652312
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.2081559026522956 -0.6607918322765379 age
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0.8835103932243972 -0.47483045684883174 workclass=Federal-gov
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2.0299022189015496 1.2696300218207575 workclass=State-gov
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0.9653587124791303 -0.08303395253941016 workclass=Never-worked
0.6710435902332781 -0.5736487747998571 fnlwgt
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0.47852311000279074 -3.2576523285097223 education=12th
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0.8589694749310149 -1.7375089774001806 education=Doctorate
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0.4796662008064949 -1.8981551642840468 education-num
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0.9050828940828156 -0.21864031149768873 capital-gain
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Hidden Weights:
3.437012674928605 -3.394530751283538
-6.499379328171909 6.46231530306129
>50K <=50K
Error sum for iteration 3000 = 72.1875392700116
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.23907064202523765 -0.6499358436515764 age
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1.2080817715374201 0.2952994227329161 race=Black
0.9716581493027672 0.5159782536255633 sex
0.924699999628553 -0.24294783835959421 capital-gain
1.0400182565422842 -2.801276401231517 capital-loss
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0.7636278174796761 0.5218879765839167 native-country=United-States
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0.6697392757177751 -0.35066402670710345 native-country=France
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0.5133419002668341 1.4716879936572576 native-country=Laos
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Hidden Weights:
3.5514850032019294 -3.514999016819926
-6.566637989396318 6.53374623711392
>50K <=50K
Error sum for iteration 3100 = 71.86176487895727
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.27449715136706454 -0.638782408469763 age
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Hidden Weights:
3.663646058484179 -3.63217478482118
-6.634586223133587 6.605462375744704
>50K <=50K
Error sum for iteration 3200 = 71.53373570950275
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.31486805902703807 -0.6271054819284442 age
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Hidden Weights:
3.772998458237076 -3.7457404587287755
-6.703001359976474 6.6772439437090405
>50K <=50K
Error sum for iteration 3300 = 71.19913130680136
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.36055694306636554 -0.6146753979327602 age
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0.5500140982340995 -1.9307888227678582 education-num
-2.2596370865864195 -3.104289592920605 marital-status=Married-civ-spouse
0.8537534581692438 0.5501503079443866 marital-status=Divorced
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0.32870718852995073 -0.015180278382010545 race=White
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1.3402700434997241 0.3271395236668193 race=Black
1.0995954550732263 0.5422811872066938 sex
0.9861370783023262 -0.3160538175563545 capital-gain
1.1968835470038512 -2.7851018635134985 capital-loss
0.08640086770021933 -0.8511551889922306 hours-per-week
0.6596291650572961 0.5162200325820705 native-country=United-States
0.6335954914984119 -2.904275818701997 native-country=Cambodia
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1.028432920929279 -1.0186811550533896 native-country=India
0.9390767143142674 0.33216222113779265 native-country=Japan
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1.0490699370041363 -1.044286086924296 native-country=South
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0.6726225312391092 -0.34255135209755183 native-country=France
0.31567236924695896 -0.14945785107095574 native-country=Dominican-Republic
0.5203586040466142 1.457284490646224 native-country=Laos
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0.23315216149840218 -0.41558264721072535 native-country=Columbia
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0.8158204689155727 0.7359758787179149 native-country=Hong
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Hidden Weights:
3.879183505650093 -3.8554830660646258
-6.77164239125067 6.74886906047136
>50K <=50K
Error sum for iteration 3400 = 70.86901630535853
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.41190991540810534 -0.6012669263872357 age
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2.5543584480729047 1.4238261534250811 workclass=State-gov
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1.3816566383648357 0.33925600705945386 race=Black
1.1366567729251846 0.550685619040823 sex
1.0072551039347801 -0.3403457300069732 capital-gain
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0.6201415097316 0.5110202497609894 native-country=United-States
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0.5225804189710265 1.4521876193362044 native-country=Laos
0.08462115167843395 2.0695223836143164 native-country=Ecuador
0.8899608302479459 -0.7244607214984272 native-country=Taiwan
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0.22761691293605898 -0.4031517049296063 native-country=Columbia
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0.38782705076973095 0.5339384861025267 native-country=Guatemala
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0.6701674526786656 0.796737508904521 native-country=Yugoslavia
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0.16543578473760792 -0.31374975676108524 native-country=Peru
0.8167768366398647 0.7372481385954746 native-country=Hong
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Hidden Weights:
3.981947445647213 -3.9612662095777726
-6.840293620211566 6.8201508003318905
>50K <=50K
Error sum for iteration 3500 = 70.54051629710858
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.46928033610019154 -0.5866644270090732 age
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-0.14354768548222707 1.4804413674829846 workclass=Self-emp-not-inc
0.032390944742158964 -0.27980060644620564 workclass=Self-emp-inc
0.7879280998721753 -0.5119766530035443 workclass=Federal-gov
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2.6548698472888823 1.4563237808757903 workclass=State-gov
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0.8272760172269159 -0.7249846527508849 fnlwgt
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0.4873221619017363 -3.694325758365064 education=12th
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0.33664691180704187 2.0063283622115855 education=1st-4th
0.038169461474422364 1.6053963235413098 education=10th
0.8261394987729234 -1.6460915627021806 education=Doctorate
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0.5846897783486067 -1.9405342713152418 education-num
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0.10098447100621082 0.636184676832068 occupation=Farming-fishing
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1.4219319870881797 0.3520780893922536 race=Black
1.1713620297749687 0.5591022827164311 sex
1.0286052263787009 -0.36451584093238043 capital-gain
1.304134416078928 -2.7734642505283364 capital-loss
0.11424662564078843 -0.8641774107932577 hours-per-week
0.5793191629841078 0.5045964715431598 native-country=United-States
0.63750774945211 -2.9239075949336035 native-country=Cambodia
0.6044707641022292 0.591374577676788 native-country=England
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0.17718622176653825 -0.175164278112524 native-country=Germany
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1.029899562872343 -1.0150932846424967 native-country=India
0.9409178240270426 0.33468238970374026 native-country=Japan
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1.0559680004420215 -1.0801423988689587 native-country=South
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0.4892709394791477 0.3209222017650009 native-country=Jamaica
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0.1832783827539279 1.6941579244748706 native-country=Portugal
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0.6743180184864758 -0.3379798613085381 native-country=France
0.3175120882519152 -0.1469186241103582 native-country=Dominican-Republic
0.5247489389159139 1.4469710550147488 native-country=Laos
0.08333724574828436 2.083825074150256 native-country=Ecuador
0.9240308380086152 -0.7493186047157104 native-country=Taiwan
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0.22197714236878188 -0.39051159989082423 native-country=Columbia
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0.3887117927582104 0.5351863947909082 native-country=Guatemala
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0.6710521946671488 0.7979854175929025 native-country=Yugoslavia
-0.5814901523535377 0.7446975918517398 native-country=El-Salvador
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0.16632052672609268 -0.3125018480727066 native-country=Peru
0.8176615786283479 0.7384960472838561 native-country=Hong
-0.6734044907724963 -0.03498636053423178 native-country=Holand-Netherlands
Hidden Weights:
4.081105943145403 -4.062999934336263
-6.908798246364083 6.890965721899172
>50K <=50K
Error sum for iteration 3600 = 70.21211174436333
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
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1.2040288935003571 0.567663369364175 sex
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Hidden Weights:
4.176514862374335 -4.160616120688095
-6.977081207740529 6.961273210744803
>50K <=50K
Error sum for iteration 3700 = 69.88424792623242
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
4.2680538551386995 -4.254055816600757
-7.045162384872523 7.031126488281801
>50K <=50K
Error sum for iteration 3800 = 69.56093068678682
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
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0.18475302223690906 1.7338911493837246 native-country=Portugal
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0.6764081910711924 -0.33210885039716154 native-country=France
0.3197209894074377 -0.14328851195039916 native-country=Dominican-Republic
0.5309433654469338 1.4307320839030502 native-country=Laos
0.07989613038345801 2.123663655370544 native-country=Ecuador
1.029132497698122 -0.821693256215502 native-country=Taiwan
-0.01716722678174178 0.0074005171168153375 native-country=Haiti
0.20494288102556876 -0.3520053300449312 native-country=Columbia
-0.6047878227286727 0.6832324252054438 native-country=Hungary
0.39092341983022066 0.5387746290768396 native-country=Guatemala
-0.09088282640469342 -0.3815233578272091 native-country=Nicaragua
-0.05843372421551511 -0.5556621224898677 native-country=Scotland
-0.3535813644434331 -0.7248792982565383 native-country=Thailand
0.6732638217391593 0.8015736518788339 native-country=Yugoslavia
-0.5791231325114343 0.7482804821452278 native-country=El-Salvador
-0.14220384402745465 0.1607359891824276 native-country=Trinadad&Tobago
0.16853215379810574 -0.3089136137867669 native-country=Peru
0.8198732057003584 0.7420842815697875 native-country=Hong
-0.6711928637004858 -0.031398126248294085 native-country=Holand-Netherlands
Hidden Weights:
4.355627314239089 -4.343273153478546
-7.1131610959083345 7.100675886942344
>50K <=50K
Error sum for iteration 3900 = 69.2379814186052
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.7678379342875471 -0.5124711078029063 age
-1.3245287264575432 0.43542615300661885 workclass=Private
-0.2037842703274608 1.467729214553284 workclass=Self-emp-not-inc
0.0781502789579281 -0.32593569681039486 workclass=Self-emp-inc
0.7143758266772273 -0.5466323644138497 workclass=Federal-gov
-0.41862588684022456 0.9846839521983074 workclass=Local-gov
3.0375988493590644 1.591492523637883 workclass=State-gov
-0.5284790447428717 -0.3394908260056782 workclass=Without-pay
0.9745561665755692 -0.07045554170677304 workclass=Never-worked
0.87020210035831 -0.8007981949604877 fnlwgt
-2.198605205786632 -0.2594454776781835 education=Bachelors
0.1456518398586777 0.7608161599881716 education=Some-college
0.4492993099753594 2.9733051028205644 education=11th
1.3980895939358213 1.0932790153460112 education=HS-grad
0.6180243624822417 -2.923035414328778 education=Prof-school
2.7143566951344718 1.1861995560411538 education=Assoc-acdm
-1.9353597537409284 -1.0313336031665543 education=Assoc-voc
-0.35968680259065544 2.0291770046115056 education=9th
0.8312051736173137 -0.6571185427146695 education=7th-8th
0.49074428288369276 -3.972113185820554 education=12th
-0.13700955970220383 0.8813458089816992 education=Masters
0.3311519269718419 2.051178666696795 education=1st-4th
0.03448055454550629 1.629509405534657 education=10th
0.8004054544615693 -1.57745587172881 education=Doctorate
-0.7889106296665115 1.9288381774473182 education=5th-6th
-0.29646712605083625 0.7697196280715939 education=Preschool
0.6412674321565043 -1.9558842924330897 education-num
-2.4516783469953194 -3.327236916308678 marital-status=Married-civ-spouse
1.1756747952656277 0.6912132509034171 marital-status=Divorced
0.9930138123721546 0.960955972072782 marital-status=Never-married
-0.2834336064302799 0.21784188173850738 marital-status=Separated
0.28982451475115123 2.306770726112451 marital-status=Widowed
0.5740065270547268 1.3351712232133766 marital-status=Married-spouse-absent
0.7926592954446583 1.0448695540299073 marital-status=Married-AF-spouse
0.4766863046744376 0.35168965571161304 occupation=Tech-support
1.862561115513381 0.7194877075855056 occupation=Craft-repair
1.3469240357317465 0.4938080481791532 occupation=Other-service
0.05095130509954399 0.47260185007316763 occupation=Sales
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-1.5830215865119834 -0.2602174551794034 occupation=Prof-specialty
0.901437071394924 1.9966347293440005 occupation=Handlers-cleaners
2.4234252080373655 0.544805179293607 occupation=Machine-op-inspct
-0.9611519455345731 -0.05832496074537455 occupation=Adm-clerical
0.0740118904815566 0.6670801562213291 occupation=Farming-fishing
0.09306392918120737 1.643956530152931 occupation=Transport-moving
0.8817932891699017 -0.5005811234563523 occupation=Priv-house-serv
1.130474495959666 -1.0510533300387013 occupation=Protective-serv
0.13356958256474646 -0.17601453246600432 occupation=Armed-Forces
-1.8340517674462002 -0.8504564970747505 relationship=Wife
0.6693866047475794 2.4315192233700196 relationship=Own-child
0.03306144702365463 -0.004559125932907797 relationship=Husband
1.0547284229701401 -0.7720996914406077 relationship=Not-in-family
0.7489351278090814 0.22529167719722815 relationship=Other-relative
1.0351544366275678 0.715012841900238 relationship=Unmarried
0.47190906474704175 0.037442244439493344 race=White
-0.9837784368466029 -0.016191283311492825 race=Asian-Pac-Islander
-0.030515602958097514 1.5641885548470953 race=Amer-Indian-Eskimo
-0.21018287312096604 1.8543904719156086 race=Other
1.5765010473687278 0.4114686878712114 race=Black
1.2923053649813525 0.5952904659521941 sex
1.115828273110686 -0.4588822650415117 capital-gain
1.5124393369447735 -2.743381197986921 capital-loss
0.1768751568494211 -0.8830576842935015 hours-per-week
0.4111937568991952 0.4721669751736889 native-country=United-States
0.6430033064462027 -2.9463687729981682 native-country=Cambodia
0.5979633949714215 0.6295740022525422 native-country=England
0.0709467707208636 2.6121363551918404 native-country=Puerto-Rico
-0.334071870588416 -1.6182020370727084 native-country=Canada
0.16860893682263628 -0.1515721633407807 native-country=Germany
-0.43333160790858594 -0.6762444499643446 native-country=Outlying-US(Guam-USVI-etc)
1.0290512357154424 -1.0005083915828135 native-country=India
0.9437281195639923 0.33941342444485406 native-country=Japan
-0.8260944825228459 -0.13751162591146188 native-country=Greece
1.0658170342647728 -1.1385640488531523 native-country=South
-0.681826237618632 0.5142233833899036 native-country=China
-0.9843083850368178 1.9823918365072166 native-country=Cuba
1.2535610408374598 -0.6272730063209304 native-country=Iran
0.028039053863228962 0.45952290006052926 native-country=Honduras
0.8457396850669835 0.8524136557086281 native-country=Philippines
-0.2404305433467365 0.7527189419354676 native-country=Italy
-0.7030646970062505 1.2290274597197974 native-country=Poland
0.4920979165330301 0.3256252835122532 native-country=Jamaica
-0.3428604307866575 0.42774221685048813 native-country=Vietnam
-0.03277450194992716 -0.5894514218040968 native-country=Mexico
0.1851709044505727 1.7455072443747839 native-country=Portugal
-0.2672395512538185 0.5732731893263209 native-country=Ireland
0.6769815565414641 -0.3303694601231732 native-country=France
0.32031860728782147 -0.14212866130911653 native-country=Dominican-Republic
0.5329155128925321 1.4251566517764995 native-country=Laos
0.07884579319722651 2.1359575105992064 native-country=Ecuador
1.0649844450253352 -0.8450902269654789 native-country=Taiwan
-0.016568553633348644 0.008543290876046591 native-country=Haiti
0.19935435284043196 -0.33911403000026563 native-country=Columbia
-0.6041891542637335 0.6843752256606118 native-country=Hungary
0.3915220882951621 0.5399174295320076 native-country=Guatemala
-0.09028415793975098 -0.38038055737203497 native-country=Nicaragua
-0.05783505575057307 -0.5545193220346997 native-country=Scotland
-0.3409875511638045 -0.72916928251638 native-country=Thailand
0.6738624902040985 0.8027164523340019 native-country=Yugoslavia
-0.5784871329707835 0.7494220414283234 native-country=El-Salvador
-0.14160517556251465 0.16187878963760216 native-country=Trinadad&Tobago
0.16913082226304574 -0.3077708133315928 native-country=Peru
0.8204718741652975 0.7432270820249555 native-country=Hong
-0.6705941952355466 -0.03025532579311955 native-country=Holand-Netherlands
Hidden Weights:
4.439185413612639 -4.428258712315205
-7.18129109872033 7.170163302864952
>50K <=50K
Options: -I 4000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 4000
-E 0.01
-S 1627203126
-H 2
-M 0.01
Input Weights:
0.8614891567769254 -0.48937806583173166 age
-1.343670583506156 0.4309030020322252 workclass=Private
-0.21367566074410263 1.466421040195936 workclass=Self-emp-not-inc
0.08848691651887391 -0.33808105476958233 workclass=Self-emp-inc
0.6948333575631279 -0.5552755857694994 workclass=Federal-gov
-0.46324958231245916 0.9918199336819646 workclass=Local-gov
3.1280675489929837 1.6264554667375868 workclass=State-gov
-0.527935764375511 -0.3383851817244799 workclass=Without-pay
0.9750994469429298 -0.0693498974255745 workclass=Never-worked
0.8734110084137507 -0.8168313226404701 fnlwgt
-2.246346868564359 -0.27987651763863014 education=Bachelors
0.1892320256203605 0.7830072216836478 education=Some-college
0.450445024603318 2.98624700917296 education=11th
1.4100232011032041 1.1063587376521122 education=HS-grad
0.6368926127593993 -2.925673639671259 education=Prof-school
2.756532829306248 1.2067435101245991 education=Assoc-acdm
-1.9694618096655934 -1.0538324919502902 education=Assoc-voc
-0.35988773519641265 2.0380624770261675 education=9th
0.8187124987902131 -0.6565058477319925 education=7th-8th
0.49139285629494234 -4.03953959478232 education=12th
-0.13570701567146798 0.8896835194581036 education=Masters
0.3299270864303773 2.061544821983971 education=1st-4th
0.03423540693621712 1.6341521898353004 education=10th
0.7935643197896971 -1.559770564119788 education=Doctorate
-0.793219314429921 1.9479469169946857 education=5th-6th
-0.29592627296051466 0.7708541448134081 education=Preschool
0.6516109717304558 -1.9596964443278988 education-num
-2.476553156940202 -3.360857117493457 marital-status=Married-civ-spouse
1.2242790541189579 0.7170669978049484 marital-status=Divorced
0.97971948727228 0.9656992302439137 marital-status=Never-married
-0.2824111503093029 0.22185741422968341 marital-status=Separated
0.284281659395285 2.319958983190427 marital-status=Widowed
0.5749665540132328 1.3368952035303054 marital-status=Married-spouse-absent
0.793933749423022 1.045549644473843 marital-status=Married-AF-spouse
0.46127141075563655 0.351782732844905 occupation=Tech-support
1.8975542879959553 0.7382732247517381 occupation=Craft-repair
1.3661774451372384 0.5064548080497153 occupation=Other-service
0.07496207878973603 0.48235735031515203 occupation=Sales
-2.6327631258752784 -1.720291392130172 occupation=Exec-managerial
-1.6119302044388215 -0.27202703876530593 occupation=Prof-specialty
0.900404096349066 2.008388956108519 occupation=Handlers-cleaners
2.466761738980675 0.5587561426774497 occupation=Machine-op-inspct
-0.9479741863218065 -0.05306130460702744 occupation=Adm-clerical
0.06344269783053051 0.6739156121429357 occupation=Farming-fishing
0.09473814997640237 1.6423417197523453 occupation=Transport-moving
0.8823365695372624 -0.499475479175151 occupation=Priv-house-serv
1.1332951846957686 -1.0663554087740232 occupation=Protective-serv
0.13411275638024509 -0.1749069649739308 occupation=Armed-Forces
-1.862063121379717 -0.860939285645474 relationship=Wife
0.6751974923833748 2.4524051891151015 relationship=Own-child
-0.008157846923913505 -0.012474288907314873 relationship=Husband
1.0670493965851084 -0.7772855423543273 relationship=Not-in-family
0.8019767824250295 0.2509344327629255 relationship=Other-relative
1.040817493785137 0.7075469429851318 relationship=Unmarried
0.48328789141994793 0.04291935703815013 race=White
-1.0268325506441984 -0.025821146425337834 race=Asian-Pac-Islander
-0.031150002311241518 1.5681638878331923 race=Amer-Indian-Eskimo
-0.20892957695796782 1.8517603009202044 race=Other
1.6146200824594361 0.4286496520512586 race=Black
1.3186687946102609 0.6052525401243308 sex
1.137829239472305 -0.48138814817466247 capital-gain
1.5603163693999367 -2.733225467975941 capital-loss
0.19619121869892148 -0.8864195862732362 hours-per-week
0.3695603980599368 0.4636940135483801 native-country=United-States
0.6439678686591617 -2.9493727757676966 native-country=Cambodia
0.5963542329069376 0.6376437353750234 native-country=England
0.05788288736001554 2.6362630374381832 native-country=Puerto-Rico
-0.3335809609235863 -1.613302235082682 native-country=Canada
0.16735446569058737 -0.14732400524790712 native-country=Germany
-0.4327883275412058 -0.6751388056831398 native-country=Outlying-US(Guam-USVI-etc)
1.0281940434769188 -0.9957334063710664 native-country=India
0.9442713999313529 0.34051906872605237 native-country=Japan
-0.8255512021554853 -0.1364059816302609 native-country=Greece
1.067621955515443 -1.150705573738999 native-country=South
-0.6812829572512714 0.5153290276711084 native-country=China
-0.9894628241840199 1.9902599332552422 native-country=Cuba
1.2804120943230324 -0.6342552847374187 native-country=Iran
0.034446671023058 0.460430660634937 native-country=Honduras
0.8500011372881279 0.8498286283631422 native-country=Philippines
-0.23988643432940318 0.7538234483569168 native-country=Italy
-0.7026397388928922 1.2303244789761365 native-country=Poland
0.4926421625776286 0.326729065041388 native-country=Jamaica
-0.34231715041927735 0.42884786113168644 native-country=Vietnam
-0.03857643692312567 -0.585195063638206 native-country=Mexico
0.1855551982593554 1.7563672418940783 native-country=Portugal
-0.2666962708864383 0.5743788336075257 native-country=Ireland
0.6775046300682753 -0.32873849742568634 native-country=France
0.3208607805674736 -0.14100475616546032 native-country=Dominican-Republic
0.5348402242944608 1.4195689202640491 native-country=Laos
0.07784800286984463 2.147677068326551 native-country=Ecuador
1.1008593429596087 -0.8679327186379967 native-country=Taiwan
-0.01602547302569739 0.009650313297265385 native-country=Haiti
0.19391637352638702 -0.3263408839340732 native-country=Columbia
-0.6036458738963729 0.6854808699418167 native-country=Hungary
0.39206536866254227 0.5410230738132125 native-country=Guatemala
-0.08974087757237649 -0.37927491309083666 native-country=Nicaragua
-0.05729177538320071 -0.5534136777534948 native-country=Scotland
-0.32936699894840366 -0.7329374451068572 native-country=Thailand
0.6744057705714591 0.8038220966152068 native-country=Yugoslavia
-0.5779120010279866 0.7505266528731951 native-country=El-Salvador
-0.14106189519514087 0.16298443391880313 native-country=Trinadad&Tobago
0.16967410263041952 -0.3066651690503945 native-country=Peru
0.8210151545326582 0.7443327263061603 native-country=Hong
-0.670050914868186 -0.02914968151191938 native-country=Holand-Netherlands
Hidden Weights:
4.517988861041826 -4.508294483682061
-7.249154229629815 7.239204577341366
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 467 90.6796 %
Incorrectly Classified Instances 48 9.3204 %
Mean absolute error 0.2154
Root mean squared error 0.2802
Relative absolute error 62.3777 %
Root relative squared error 67.5032 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
83 31 | a = >50K
17 384 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 417 80.9709 %
Incorrectly Classified Instances 98 19.0291 %
Mean absolute error 0.2705
Root mean squared error 0.3695
Relative absolute error 77.1363 %
Root relative squared error 87.6466 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
63 56 | a = >50K
42 354 | b = <=50K
|
|
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