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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
0.6490521517324499 -0.9795711188179828 age
0.040525708105372704 0.08539770948908454 workclass=Private
-0.018488782649998647 0.8969484036951123 workclass=Self-emp-not-inc
-0.9852290195179065 0.35528576043466353 workclass=Self-emp-inc
-0.20255682259130525 -0.8653639997539699 workclass=Federal-gov
-0.10583661392717114 -0.12606327750032498 workclass=Local-gov
0.8917551759752416 0.42245112417412223 workclass=State-gov
-0.40947521675505705 0.7231457755912238 workclass=Without-pay
0.5869124911338923 -0.750104974564948 workclass=Never-worked
0.07862109031579112 0.2239109720343937 fnlwgt
-0.8069478542385708 0.3010963283426489 education=Bachelors
0.38688108032554913 0.8613642203393614 education=Some-college
0.11579620970416848 -0.8434695093584739 education=11th
-0.12126055852093987 -0.5874746818556986 education=HS-grad
0.2830237344959661 -0.7938583986284815 education=Prof-school
-0.047055432934907104 -0.6989115524480525 education=Assoc-acdm
0.2021864677870837 -0.8497016229108874 education=Assoc-voc
0.5120023026495522 -0.277070946901939 education=9th
0.4920505182354664 -0.9682037116761899 education=7th-8th
0.27498660697033617 0.6966822202323908 education=12th
0.47145991458727887 -0.5794076985070153 education=Masters
0.043059672004988725 0.7725487026296267 education=1st-4th
-0.2589392826882573 -0.9755443741596428 education=10th
-0.4942118068005237 -0.34986923171083384 education=Doctorate
0.6638396484901838 0.8283153150743463 education=5th-6th
0.09004606373596591 -0.022956690698956228 education=Preschool
-0.6674703420990178 -0.07838845974855779 education-num
-0.9689635237189052 0.7824872233759195 marital-status=Married-civ-spouse
0.6958657082310404 -0.15100907056107316 marital-status=Divorced
-0.5394265743217523 0.5958653417792696 marital-status=Never-married
0.7845416030693428 -0.14844652315089912 marital-status=Separated
0.3788169502089107 0.6555715632087726 marital-status=Widowed
-0.19152430371670892 -0.6663593742710681 marital-status=Married-spouse-absent
0.2634793290427573 -0.3332602213913316 marital-status=Married-AF-spouse
0.7603429699153708 0.7176751958302108 occupation=Tech-support
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0.13811589148694403 -0.8147991621311013 occupation=Sales
0.4758942827257673 0.4494058912533605 occupation=Exec-managerial
0.4783497127705527 0.9158815169782979 occupation=Prof-specialty
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0.02616663946382225 0.12165553995240197 occupation=Machine-op-inspct
-0.5144937163445025 0.8474888828467557 occupation=Adm-clerical
0.6606192379156792 -0.5692820734403696 occupation=Farming-fishing
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0.3816823457088694 0.29226971990279504 occupation=Priv-house-serv
-0.5492762100360711 0.7845322977770488 occupation=Protective-serv
0.15238383133115008 -0.709622747946749 occupation=Armed-Forces
0.786230674580638 -0.37318927874343943 relationship=Wife
-0.12676962110802692 -0.2886988508149355 relationship=Own-child
-0.6098008795167071 0.24246048487647287 relationship=Husband
0.7635231442033272 0.15939479965298964 relationship=Not-in-family
0.8417127723091844 0.3766992690212272 relationship=Other-relative
-0.5222460662327537 0.8513327465503837 relationship=Unmarried
-0.011625352479868845 0.07669767856105891 race=White
-0.1822475541178732 -0.726810748014125 race=Asian-Pac-Islander
-0.15908756494522547 0.31892592571337786 race=Amer-Indian-Eskimo
-0.6010581262747483 0.22418612598713228 race=Other
0.8083726347013802 -0.5073812898837291 race=Black
0.9220371216243151 0.052981585021330435 sex
-0.10672604406323027 0.36290503950397035 capital-gain
0.4636129391880477 -0.1308748347339237 capital-loss
0.7095684168512455 0.003004336899152804 hours-per-week
0.4477553502797371 0.5294618986723443 native-country=United-States
0.772873712917443 -0.4820959238952751 native-country=Cambodia
-0.442180066398534 0.6962853678620391 native-country=England
0.4129011184973612 -0.8940579316106851 native-country=Puerto-Rico
-0.002770304372932575 0.7741187890106354 native-country=Canada
0.43675744794589244 -0.6127092347583791 native-country=Germany
0.260084694021796 0.1820955508914759 native-country=Outlying-US(Guam-USVI-etc)
0.9870540162177546 -0.9191829967014551 native-country=India
-0.6812991013880343 -0.570278484040772 native-country=Japan
-0.857538033683233 0.4882367078503884 native-country=Greece
-0.8876244737312462 0.649783927774124 native-country=South
-0.95378463016489 0.14573924677188654 native-country=China
-0.9902288740341969 0.5115259489836239 native-country=Cuba
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0.9401438289851369 -0.7081090794169735 native-country=Honduras
0.6552080518838594 0.7529584975580215 native-country=Philippines
-0.08620342822627336 0.9183515977360817 native-country=Italy
-0.8813238629798084 0.23797471927059477 native-country=Poland
-0.7090611568398817 -0.7969624899735128 native-country=Jamaica
-0.6696453498210735 -0.9804808069547319 native-country=Vietnam
0.36566232124915965 0.547756196780719 native-country=Mexico
0.27852074816469985 0.9802528694720183 native-country=Portugal
0.40682206238857943 -0.009972951990412815 native-country=Ireland
-0.8954769595647987 0.19861302299541417 native-country=France
-0.6171741105328603 0.5521116344756312 native-country=Dominican-Republic
-0.5862269016816566 -0.7548101771793905 native-country=Laos
-0.8209925067167725 -0.9873135363408847 native-country=Ecuador
-0.6076247223108395 -0.30721235589695794 native-country=Taiwan
-0.47553117116774657 -0.8975360471186409 native-country=Haiti
0.6399036683495278 0.34567622558359434 native-country=Columbia
-0.7461445205745638 -0.01731962598241732 native-country=Hungary
0.34692078181655783 -0.6066245122909977 native-country=Guatemala
-0.543951354961496 0.044637479552033676 native-country=Nicaragua
0.28830885004170326 -0.10743415254714117 native-country=Scotland
0.8675521863015458 0.5088603746447931 native-country=Thailand
-0.4589467764749142 -0.8987921428262526 native-country=Yugoslavia
-0.7415030145027908 0.037122250908796506 native-country=El-Salvador
-0.06776815883306053 0.9992653198444659 native-country=Trinadad&Tobago
-0.9174913948035135 0.22653964694667206 native-country=Peru
-0.8621717306482544 0.4418834372663394 native-country=Hong
-0.7892375387068711 0.15286063787415327 native-country=Holand-Netherlands
Hidden Weights:
-0.11828181951790517 0.38441105106432505
-0.7691821520771951 0.034563547587988186
>50K <=50K
Error sum for iteration 100 = 70.20017819986462
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
0.36551413618650286 -1.0710393592458356 age
0.4492622332418738 0.36092413580769755 workclass=Private
-0.004996694587220211 0.9273983665210016 workclass=Self-emp-not-inc
-1.156746065547465 0.24407239261920277 workclass=Self-emp-inc
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0.023868456270343456 -0.06644079985385838 workclass=Local-gov
0.7345593115485228 0.3224041261603445 workclass=State-gov
-0.40614574870976206 0.7282782429462843 workclass=Without-pay
0.5902419591791933 -0.7449725072098875 workclass=Never-worked
0.09218940193963046 0.23474174378126347 fnlwgt
-1.0311194438079265 0.07094577052326148 education=Bachelors
0.3136529034227511 0.8061443247069312 education=Some-college
0.3922728426564419 -0.6780956985930328 education=11th
0.5147973197557282 -0.1702914516358688 education=HS-grad
0.08214105297727471 -0.8857858535128622 education=Prof-school
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0.08971863688651258 -0.8871979282164972 education=Assoc-voc
0.610535150453187 -0.22658820511812314 education=9th
0.5043319424364733 -0.9525085034721124 education=7th-8th
0.26710360592780436 0.68912283689681 education=12th
0.1691470399435592 -0.7108873852965905 education=Masters
0.0955254056612708 0.7982207622739315 education=1st-4th
-0.14818330120423703 -0.9050702710198061 education=10th
-0.6893901383248642 -0.4648088521110845 education=Doctorate
0.705664613901224 0.8465783378928511 education=5th-6th
0.09758581785393786 -0.014372728114302161 education=Preschool
-1.23957696114275 -0.380208022982461 education-num
-2.0317909890806156 0.2263275638134666 marital-status=Married-civ-spouse
0.8110559016617234 -0.056976830023367245 marital-status=Divorced
0.24985524789742533 0.9717068750711707 marital-status=Never-married
0.8260051313580116 -0.09812620689494103 marital-status=Separated
0.4299717342566903 0.6976712961919673 marital-status=Widowed
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0.2757849902868444 -0.3225722862741872 marital-status=Married-AF-spouse
0.637103839767826 0.6771446742811847 occupation=Tech-support
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0.32220440465987354 0.44088948894296587 occupation=Other-service
0.2540496488671153 -0.6715126928737781 occupation=Sales
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0.04344235761222634 0.14316265796677582 occupation=Machine-op-inspct
-0.27571453674519864 0.9262574887627126 occupation=Adm-clerical
0.7156991742286491 -0.5222425784280819 occupation=Farming-fishing
0.015569345197319952 0.543270394927122 occupation=Transport-moving
0.3850118137541644 0.29740218725785766 occupation=Priv-house-serv
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0.16641133034483183 -0.697827365410023 occupation=Armed-Forces
0.415800384464342 -0.48915969788317737 relationship=Wife
0.40900943421963937 -0.028280567178483883 relationship=Own-child
-1.2781194767811368 -0.18014259663335963 relationship=Husband
0.9858565692458068 0.33444486743693547 relationship=Not-in-family
0.8608638664542274 0.39224976845132487 relationship=Other-relative
-0.214148200733034 1.0107419393203225 relationship=Unmarried
-0.10061291784841579 0.012439406446128726 race=White
-0.2915172644449399 -0.791598411735388 race=Asian-Pac-Islander
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-0.5449133479074291 0.2528988300310838 race=Other
0.9387066679112847 -0.374356416452877 race=Black
0.7211068263622724 -0.07179072112815202 sex
-0.11384854824596405 0.36088680823086444 capital-gain
0.30764294313785784 -0.18563315450985765 capital-loss
0.45003499870747143 -0.12851968226957963 hours-per-week
0.41019351973753737 0.5282038251145359 native-country=United-States
0.7241670794741855 -0.49150154215506575 native-country=Cambodia
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0.47472541635543136 -0.858809212845184 native-country=Puerto-Rico
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0.46317295288599536 -0.5963475399722631 native-country=Germany
0.263414162067091 0.1872280182465363 native-country=Outlying-US(Guam-USVI-etc)
0.9572034416560591 -0.9326348974530503 native-country=India
-0.6779696333427333 -0.5651460166857115 native-country=Japan
-0.854208565637932 0.49336917520544327 native-country=Greece
-0.9067355997581096 0.6344634581194052 native-country=South
-0.950455162119589 0.15087171412694694 native-country=China
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0.8902485521030536 -0.7192688189381181 native-country=Honduras
0.6769767464120731 0.7653659436290489 native-country=Philippines
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-0.862701151195297 0.2649135935906345 native-country=Poland
-0.700669113989632 -0.7877997228674006 native-country=Jamaica
-0.6663158817757725 -0.9753483395996715 native-country=Vietnam
0.4112126292766247 0.5648161975874058 native-country=Mexico
0.316790013868561 1.0036138896683886 native-country=Portugal
0.4101515304338744 -0.004840484635351102 native-country=Ireland
-0.8813771007065067 0.20722759512374905 native-country=France
-0.6047646005136343 0.5606762742973862 native-country=Dominican-Republic
-0.561452821308664 -0.7356536070549199 native-country=Laos
-0.7955045887880015 -0.9705336230905963 native-country=Ecuador
-0.6244954882163184 -0.3149275195037796 native-country=Taiwan
-0.46221641059150353 -0.8856938095287752 native-country=Haiti
0.6476471679080893 0.3552519702967842 native-country=Columbia
-0.7428150525292628 -0.012187158627355574 native-country=Hungary
0.3502502498618528 -0.6014920449359372 native-country=Guatemala
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0.29163831808699825 -0.10230168519207755 native-country=Scotland
0.8393505663152715 0.49430500349482254 native-country=Thailand
-0.4556173084296192 -0.8936596754711922 native-country=Yugoslavia
-0.7336441705381349 0.04414796667164379 native-country=El-Salvador
-0.06443869078776071 1.0043977871995309 native-country=Trinadad&Tobago
-0.9141619267582125 0.23167211430173246 native-country=Peru
-0.8588422626029534 0.447015904621402 native-country=Hong
-0.7859080706615701 0.15799310522921367 native-country=Holand-Netherlands
Hidden Weights:
-1.8502539812116718 1.7957893705687487
-1.0099854642536432 0.19759785651204378
>50K <=50K
Error sum for iteration 200 = 69.45654462030177
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
0.2505870540288919 -1.118115855824699 age
0.6401804606318413 0.4388742389139471 workclass=Private
0.2136157367719625 1.078003330895192 workclass=Self-emp-not-inc
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0.6053832142798662 -0.7427442071473037 workclass=Never-worked
0.0734619540970855 0.2237770914367208 fnlwgt
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0.27344900187319204 0.6667466784019852 education=12th
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0.74977850863612 0.8594361307906973 education=5th-6th
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0.8958537623545562 -0.3390762018661123 race=Black
0.9763030577508246 -0.06417600619680452 sex
-0.12255082731176435 0.35598836388361205 capital-gain
0.05888232016323054 -0.29436925675233383 capital-loss
0.2289567485967871 -0.26200818048248475 hours-per-week
0.38381622202468346 0.42013465166957553 native-country=United-States
0.6326010208370333 -0.5054156632087604 native-country=Cambodia
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0.6224620691129212 -0.8283721071194596 native-country=Puerto-Rico
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0.5147514885900346 -0.5793944503399173 native-country=Germany
0.2785554171677698 0.1894563183091321 native-country=Outlying-US(Guam-USVI-etc)
0.9460363651169666 -0.9401267593322695 native-country=India
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0.41334946442796 0.5703492038473104 native-country=Mexico
0.41983053186450753 1.0451709136673657 native-country=Portugal
0.42529278553455324 -0.0026121845727549962 native-country=Ireland
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0.665876871051066 0.36038105776004675 native-country=Columbia
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0.36539150496253164 -0.5992637448733534 native-country=Guatemala
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0.8339656691136627 0.47698532763427104 native-country=Thailand
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Hidden Weights:
-2.3924563521147433 2.4891798780700367
-1.2709044994317555 0.7492048640287057
>50K <=50K
Error sum for iteration 300 = 68.86998745371791
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
0.13835840420295786 -1.1451597591897191 age
0.6342775554120077 0.47376182230460984 workclass=Private
0.400912768610163 1.2550738717784427 workclass=Self-emp-not-inc
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0.6174991926130989 -0.7341261151162718 workclass=Never-worked
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0.12684030763471563 -9.786410277487479E-4 education=Preschool
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Hidden Weights:
-2.656947255962556 2.7603157728113676
-1.435149596874457 1.0798233724595758
>50K <=50K
Error sum for iteration 400 = 69.41690569054305
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
0.05509143069500998 -1.1736891741065254 age
0.5921709078712462 0.4936828366609148 workclass=Private
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Hidden Weights:
-2.8244245656058 2.8978334974069173
-1.574679593457958 1.3245100584645937
>50K <=50K
Error sum for iteration 500 = 70.20820097794537
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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0.5532705293180044 -0.28751878774021516 race=Black
0.7795713481264572 -0.2353735363029055 sex
-0.16811812852190836 0.3442650093538365 capital-gain
-0.7322177489630596 -0.7435631871473737 capital-loss
-0.1935275971751603 -0.5308246747939296 hours-per-week
0.12947873489603995 0.09779096911905401 native-country=United-States
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0.15133722270369313 0.451805030710512 native-country=Mexico
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Hidden Weights:
-2.9698799772471776 3.011258270241226
-1.725438707194651 1.5499165518740667
>50K <=50K
Error sum for iteration 600 = 70.91498604118765
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.06478350498284113 -1.2395532214656488 age
0.48142525565414884 0.5417819269341759 workclass=Private
0.4388389037919332 1.5639487629789246 workclass=Self-emp-not-inc
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0.502031497957045 0.16073082082061102 workclass=Local-gov
0.980414077199726 -0.05084182088043975 workclass=State-gov
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0.6464476154635715 -0.7220710377147049 workclass=Never-worked
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0.15654617374022634 0.012742028873807472 education=Preschool
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0.3427626542229807 -0.2881073975152205 marital-status=Married-AF-spouse
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Hidden Weights:
-3.114247432945255 3.131147087516328
-1.8945644664844576 1.7736465190311828
>50K <=50K
Error sum for iteration 700 = 71.42213172061548
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.1165313296450087 -1.2700070551046403 age
0.43050865035256475 0.5730369320030289 workclass=Private
0.3639641346303668 1.6151515853632463 workclass=Self-emp-not-inc
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Hidden Weights:
-3.264311953350565 3.2657924274140893
-2.086925398242528 2.0049295817704595
>50K <=50K
Error sum for iteration 800 = 71.66630127949036
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.16573013655367014 -1.2886002879396579 age
0.3952252771636637 0.6030127716638861 workclass=Private
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0.556171228497949 -0.37015489131456114 sex
-0.22833776212275034 0.30636576762886314 capital-gain
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0.2046754040326383 -0.0878480337384801 native-country=United-States
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Hidden Weights:
-3.4190870203341452 3.412700392697028
-2.3010682947267607 2.2455152135773324
>50K <=50K
Error sum for iteration 900 = 71.66574415269868
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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0.2045015307252054 1.7219893594380475 workclass=Self-emp-not-inc
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Hidden Weights:
-3.5735883797338763 3.564438888539467
-2.5274360761172794 2.489114279058882
>50K <=50K
Error sum for iteration 1000 = 71.50346166664954
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.248903883745024 -1.2634508339726422 age
0.3678672565939807 0.6427699941933128 workclass=Private
0.13008187820607348 1.7921314921229201 workclass=Self-emp-not-inc
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Hidden Weights:
-3.72322758850959 3.714054325267213
-2.7547038200328116 2.7274743372902504
>50K <=50K
Error sum for iteration 1100 = 71.25410154211211
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.28412462581976955 -1.2198430299550096 age
0.3652158793053307 0.6553835703833761 workclass=Private
0.06032497492150246 1.8715225192813683 workclass=Self-emp-not-inc
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0.18245833529023145 0.0026034731680800154 education=Preschool
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0.37293118212015053 -0.2905595076004086 marital-status=Married-AF-spouse
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1.5884984257351755 1.152678451655107 occupation=Transport-moving
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0.5267030717973292 -0.45413043636966705 sex
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0.259263504140134 -0.292070066745484 native-country=United-States
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Hidden Weights:
-3.8646027866501234 3.8565036054150776
-2.9738689985567683 2.95391325913743
>50K <=50K
Error sum for iteration 1200 = 70.96316919844931
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.3176867421207909 -1.1620025605785658 age
0.3649584314081994 0.6664193248940065 workclass=Private
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0.5444978079994471 0.3589366028382933 workclass=Local-gov
1.677636319529459 -0.9287830785621195 workclass=State-gov
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0.6757620715915619 -0.7342753574687811 workclass=Never-worked
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Hidden Weights:
-3.995771998443267 3.988991384710519
-3.1792707204756363 3.1642539152161153
>50K <=50K
Error sum for iteration 1300 = 70.70211666065342
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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0.9663962992826852 1.3300879464064825 native-country=Portugal
0.4988184877520676 0.004466680925406076 native-country=Ireland
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0.5629380908176055 -0.03066001124093841 native-country=Laos
0.30235290834346984 -0.7538766414418928 native-country=Ecuador
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0.7423153189408961 0.3667392965486951 native-country=Columbia
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0.806342125694201 0.3565503981863789 native-country=Thailand
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0.024228266530439618 1.0137049527602893 native-country=Trinadad&Tobago
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Hidden Weights:
-4.116365025216062 4.110804962187904
-3.3682120651773837 3.356673345732192
>50K <=50K
Error sum for iteration 1400 = 70.48361547799084
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.385127224105551 -1.026506636848057 age
0.367989893195943 0.6837452829186598 workclass=Private
-0.14042837172298858 2.1179540171020013 workclass=Self-emp-not-inc
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0.5557926152538789 0.43336958350298865 workclass=Local-gov
1.8969676867863987 -1.271238436628418 workclass=State-gov
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0.681682393179 -0.7366883096058093 workclass=Never-worked
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0.47345316938217785 0.9697323482637941 education=1st-4th
1.1012167059357088 -0.3085628661150161 education=10th
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0.19124969280663967 -0.004339415492506884 education=Preschool
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0.6406347353230217 1.2572382799057984 race=Other
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0.5868937952819075 -0.5772355132179127 sex
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0.2445261438512545 -0.46266315625715765 native-country=United-States
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0.027001743212018446 1.0126819848036148 native-country=Trinadad&Tobago
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Hidden Weights:
-4.227174492015402 4.22264061009421
-3.5400927079298397 3.5310798241252583
>50K <=50K
Error sum for iteration 1500 = 70.32685126931266
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.4200239284865204 -0.958145666301051 age
0.3716971814728721 0.6882458357657685 workclass=Private
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0.6840854042011643 -0.7374359130076193 workclass=Never-worked
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1.127919553599728 -0.2906670800371487 education=10th
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0.19334635257093694 -0.006488235497109177 education=Preschool
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Hidden Weights:
-4.3295372731943225 4.325834489168267
-3.695565925017122 3.688432022102082
>50K <=50K
Error sum for iteration 1600 = 70.21285828258723
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.4555589620123769 -0.8935601550812298 age
0.377604977912288 0.6889391790792826 workclass=Private
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0.6434638265367054 -0.6671303985657052 sex
-0.36525480150722034 0.20720891720784537 capital-gain
-2.1308272245735136 -2.1560070510824283 capital-loss
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0.2187602034223831 -0.5421201826912619 native-country=United-States
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0.22493627876247155 1.0462169183974654 native-country=England
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1.018434058615571 1.3650773952383264 native-country=Portugal
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0.7499828978253404 0.09733979223523297 native-country=Laos
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0.7461863971146098 0.35514376259233205 native-country=Columbia
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0.03145050993375061 1.0113840181150546 native-country=Trinadad&Tobago
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Hidden Weights:
-4.424819459893468 4.42178108332421
-3.835907328300012 3.8301978414409463
>50K <=50K
Error sum for iteration 1700 = 70.11478981384302
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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2.1752752050317197 -1.726329172803063 workclass=State-gov
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0.19638252620236774 -0.01094468461498346 education=Preschool
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Hidden Weights:
-4.514130272946071 4.511622094811246
-3.9626141951773484 3.9580012708433765
>50K <=50K
Error sum for iteration 1800 = 70.02228600631759
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.5267146624715604 -0.7808672705448109 age
0.39808534156586134 0.6776742792677677 workclass=Private
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Hidden Weights:
-4.598253336252903 4.596169750483659
-4.077221678277102 4.073464023459339
>50K <=50K
Error sum for iteration 1900 = 69.92587243597252
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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1.180037108838629 0.004081354008642933 occupation=Farming-fishing
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0.8566282856464367 1.4066105494099308 race=Other
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0.7399852218264397 -0.8083514851876884 sex
-0.410880517264535 0.17842852407010612 capital-gain
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0.17219510141320757 -0.6308575542240563 native-country=United-States
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0.2806010457410894 1.078854080739561 native-country=England
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0.8806563035826399 0.1941475404194006 native-country=Laos
0.719250709076768 -0.6662473927314305 native-country=Ecuador
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Hidden Weights:
-4.677706561462392 4.675965005701066
-4.181294423279633 4.178211454742156
>50K <=50K
Error sum for iteration 2000 = 69.83135864328058
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.5953384608571031 -0.6890483560983621 age
0.43165442575798413 0.6506747088109003 workclass=Private
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0.5551369461406682 0.6825697413012807 workclass=Local-gov
2.391492201076817 -2.0942074666527097 workclass=State-gov
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Hidden Weights:
-4.752824496776436 4.751360312246577
-4.276518055408382 4.273972618059954
>50K <=50K
Error sum for iteration 2100 = 69.71735376240113
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.6283839201997133 -0.6484566655594395 age
0.4530445803740249 0.6327887670163986 workclass=Private
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Hidden Weights:
-4.823774916916311 4.822537197301472
-4.3648199524358775 4.362706457204329
>50K <=50K
Error sum for iteration 2200 = 69.561863921574
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.6609044162243178 -0.6099157627443187 age
0.4767182433595565 0.6135550538694616 workclass=Private
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1.6551755048525765 0.0901592369457076 education=9th
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1.7472778358381924 -0.5437663404629938 education=Masters
0.5155564403678615 0.9728454426074257 education=1st-4th
1.240300453893254 -0.22159617967527065 education=10th
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0.19898210129390217 -0.023933414991647816 education=Preschool
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0.8434292539491696 -0.9531608810439629 sex
-0.4690773704397935 0.15165821858422437 capital-gain
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0.1218324436833979 -0.700824608618748 native-country=United-States
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Hidden Weights:
-4.890438772047606 4.88938724883523
-4.448452653902118 4.44668875972213
>50K <=50K
Error sum for iteration 2300 = 69.33560447046275
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.693488846553751 -0.5728209383893841 age
0.5014379327361492 0.5950593308789414 workclass=Private
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2.5594244929795527 -2.3846219007610627 workclass=State-gov
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0.6934113180822314 -0.7400232360868351 workclass=Never-worked
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Hidden Weights:
-4.952217502752489 4.9513203143581945
-4.529917578268585 4.528438250680852
>50K <=50K
Error sum for iteration 2400 = 69.01299916944981
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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0.525580226830609 0.5799531981364132 workclass=Private
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1.031727083259033 0.3145841321349482 native-country=Laos
0.9212693686347354 -0.6158906799120392 native-country=Ecuador
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0.7471870617754942 0.33951269051331945 native-country=Columbia
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0.4543181725894661 -0.5971493387808278 native-country=Guatemala
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0.39570624081461153 -0.09795897903697989 native-country=Scotland
0.7432822151958907 0.320226337120301 native-country=Thailand
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0.039629231939879356 1.0087404933545334 native-country=Trinadad&Tobago
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Hidden Weights:
-5.008188369808117 5.007420345565325
-4.611588335217504 4.610341594866229
>50K <=50K
Error sum for iteration 2500 = 68.60022990047028
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.7610577857336092 -0.5025926355506977 age
0.5476483202116648 0.5703645594182118 workclass=Private
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0.49692562908970617 0.9190493451151823 workclass=Local-gov
2.652656837461306 -2.5357515878679124 workclass=State-gov
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0.6954103064634699 -0.7414802014165891 workclass=Never-worked
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2.3725691627799046 -0.24572647966802974 education=11th
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1.2739542599873683 -0.21015860266795727 education=10th
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0.20020788364864095 -0.033925317316358186 education=Preschool
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0.399704683179874 -0.29304149007534663 marital-status=Married-AF-spouse
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0.08841053406584101 -0.7649612298308789 native-country=United-States
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0.04072965649646819 1.0078900929927024 native-country=Trinadad&Tobago
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Hidden Weights:
-5.057758871691535 5.0570999451772325
-4.695137834131922 4.694081809156756
>50K <=50K
Error sum for iteration 2600 = 68.11934486011704
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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0.5665039260677668 0.567250271648896 workclass=Private
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1.2864618031292239 -0.20657868179757582 education=10th
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Hidden Weights:
-5.101092068686128 5.100525866182808
-4.781156013540909 4.780256931864104
>50K <=50K
Error sum for iteration 2700 = 67.59390205783241
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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0.9575607275965594 -1.1422974478067998 sex
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-1.9941914811408534 -3.0012428305774734 capital-loss
-0.5141342450037723 -1.2641574848273565 hours-per-week
0.09020092806740988 -0.8079519062372253 native-country=United-States
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0.4987359146310518 1.1883760323017636 native-country=England
2.3414062822991677 -0.0847227064801342 native-country=Puerto-Rico
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0.7576976901810009 -0.49172683786372484 native-country=Germany
0.3712990682243294 0.18834319461720106 native-country=Outlying-US(Guam-USVI-etc)
0.3900305197243807 -1.3040551908986011 native-country=India
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0.22031807629251363 2.0573091790772966 native-country=Cuba
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0.8512964860759739 -0.742453332653055 native-country=Honduras
1.3971166215064759 1.1806083675223213 native-country=Philippines
0.03258517064467183 0.9057858660401759 native-country=Italy
0.34108669681660914 1.5456058737510776 native-country=Poland
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1.0942613371423766 1.4184115237724435 native-country=Portugal
0.5180364365911563 -0.003725308264692296 native-country=Ireland
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1.1011857896938384 0.36920181658445 native-country=Laos
1.0115445560984206 -0.5947198703330159 native-country=Ecuador
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0.7488074358497143 0.333727275297763 native-country=Columbia
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0.4581351560190912 -0.6003768685652691 native-country=Guatemala
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0.39952322424423664 -0.10118650882142229 native-country=Scotland
0.730156820484882 0.31358051547224114 native-country=Thailand
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0.04344621536949157 1.0055129635700906 native-country=Trinadad&Tobago
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Hidden Weights:
-5.13901582626467 5.13852865029558
-4.869172666130493 4.8684033688695
>50K <=50K
Error sum for iteration 2800 = 67.04394779524621
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.8620398508588014 -0.40479044113577867 age
0.5909045260784641 0.5814154641878053 workclass=Private
-1.2816430770910254 3.123813433145547 workclass=Self-emp-not-inc
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0.468370142667706 1.0276601513824202 workclass=Local-gov
2.7628148049166867 -2.7008805731040915 workclass=State-gov
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0.6997000860806548 -0.7453286243084838 workclass=Never-worked
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2.453177554017773 -0.26458242648489244 education=11th
0.8615712038195652 -0.3014725544560204 education=HS-grad
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1.6912009547651576 0.07601302324931197 education=9th
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0.05116087905749943 -0.05712173919899005 education=12th
1.5421251562122305 -0.1813620556216066 education=Masters
0.5183200059660596 0.9430224342954141 education=1st-4th
1.3146877778554125 -0.19808999293022328 education=10th
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0.856710149200625 0.7088748782737906 education=5th-6th
0.20307994465344925 -0.04566724185081051 education=Preschool
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0.41668628910930783 -0.4523543262955993 marital-status=Divorced
0.9161081256329149 -0.7663473128164082 marital-status=Never-married
1.070021373905854 -0.048352743194571765 marital-status=Separated
1.4398542084187747 0.977504340850965 marital-status=Widowed
0.8176050500601045 -0.19087630918821852 marital-status=Married-spouse-absent
0.40317924114432246 -0.29803265581658517 marital-status=Married-AF-spouse
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0.8991261333528044 -0.4508190193430089 occupation=Craft-repair
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1.57697348689463 -1.396233345560742 occupation=Sales
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1.1764211063957801 0.8682496155415967 occupation=Handlers-cleaners
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1.0799504150253618 0.6076295190123918 occupation=Farming-fishing
1.5536336569829838 0.623859095950724 occupation=Transport-moving
0.4944699406555601 0.2970460701592763 occupation=Priv-house-serv
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0.31236888277005503 -0.6621736415861933 occupation=Armed-Forces
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2.7583780599063052 -0.06203796779497014 relationship=Own-child
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0.6567011819963888 0.3326539527424116 relationship=Not-in-family
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1.0348033499862999 1.4877922272358646 race=Other
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0.969180343186193 -1.1624733258299262 sex
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0.09804076014939521 -0.8295195270123562 native-country=United-States
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1.097127958403015 1.4184064876685507 native-country=Portugal
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1.1222868505756363 0.38547735590496374 native-country=Laos
1.0392488466699392 -0.5885095252350012 native-country=Ecuador
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0.749698663429942 0.33149722289014255 native-country=Columbia
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0.7277707694979867 0.31136377394844617 native-country=Thailand
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0.04501943611364643 1.0040416701008132 native-country=Trinadad&Tobago
-0.804703799856751 0.23131599720312362 native-country=Peru
-0.7493841357014919 0.44665978752282065 native-country=Hong
-0.6764499437601086 0.15763698813061283 native-country=Holand-Netherlands
Hidden Weights:
-5.1727567957383345 5.172337005297727
-4.957992106367452 4.957330798662659
>50K <=50K
Error sum for iteration 2900 = 66.48731435240944
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.891127140448287 -0.3735922030954976 age
0.5947814706674699 0.5990196726708358 workclass=Private
-1.334220041299226 3.1782938615424325 workclass=Self-emp-not-inc
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2.7918352438573013 -2.7423582140943332 workclass=State-gov
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2.478159209600999 -0.27089530139704027 education=11th
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0.042271155786534384 -0.07156359297427345 education=12th
1.5080600100500778 -0.13498730098038456 education=Masters
0.5184961526924401 0.9367762285011002 education=1st-4th
1.3304577931858566 -0.19295313694290592 education=10th
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0.8550940173982851 0.6996063836423917 education=5th-6th
0.2043650798726268 -0.04973640957409723 education=Preschool
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0.40462050378495834 -0.3000217834677221 marital-status=Married-AF-spouse
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1.0397946124168207 0.6743701267016178 occupation=Farming-fishing
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1.0457455338146808 1.4882155051424697 race=Other
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0.9784656966533123 -1.17650036015028 sex
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0.1100676802840579 -0.8509970716265578 native-country=United-States
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1.099832092020484 1.4179595761239636 native-country=Portugal
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1.1425467290412712 0.40098158692210795 native-country=Laos
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0.7507432289881241 0.3291417541911795 native-country=Columbia
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0.7265712479643829 0.3091866799613714 native-country=Thailand
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0.04672546489477454 1.0024117463408075 native-country=Trinadad&Tobago
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Hidden Weights:
-5.203702432261314 5.203340084005893
-5.046148834398019 5.0455779926030155
>50K <=50K
Error sum for iteration 3000 = 65.95112011142892
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9159542797778524 -0.3430088313007142 age
0.5922760910853667 0.6236606930211102 workclass=Private
-1.3795397756903565 3.228279905561903 workclass=Self-emp-not-inc
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0.9857937534709046 -1.1847492975503309 sex
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0.12608203147394775 -0.8722420974448143 native-country=United-States
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Hidden Weights:
-5.233254804878309 5.23294142062334
-5.132296567901375 5.1318020214625655
>50K <=50K
Error sum for iteration 3100 = 65.45709716854199
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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0.5831427949267957 0.6549746311914738 workclass=Private
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Hidden Weights:
-5.262766170558735 5.262494547703819
-5.215445167443975 5.215015367136341
>50K <=50K
Error sum for iteration 3200 = 65.02130394089018
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9496782961512776 -0.2845814046092125 age
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Hidden Weights:
-5.293490302719613 5.293254336167222
-5.295107176005781 5.294732621401837
>50K <=50K
Error sum for iteration 3300 = 64.65282998791886
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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1.4006810763821194 -0.16738944482440837 education=10th
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0.21121501082503683 -0.06572158328477506 education=Preschool
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1.0756123510360314 1.4752843067492718 race=Other
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0.9974594008070207 -1.176903819559028 sex
-0.7794469104704977 0.14117623278307326 capital-gain
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0.1963941164059366 -0.9338498040591464 native-country=United-States
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Hidden Weights:
-5.326483843733419 5.326278356798385
-5.371433232407811 5.371106019632781
>50K <=50K
Error sum for iteration 3400 = 64.33707114448305
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
-5.362427343062161 5.362247933832719
-5.445264718922785 5.444978187689434
>50K <=50K
Error sum for iteration 3500 = 64.040643069818
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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0.47434819875959117 -0.616078761206292 native-country=Guatemala
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0.4157362669847366 -0.11688840146244375 native-country=Scotland
0.740226737035571 0.2969836902577406 native-country=Thailand
-0.3315193595318809 -0.908246391741547 native-country=Yugoslavia
-0.6115732184190947 -0.012989145499224983 native-country=El-Salvador
0.059659258109978665 0.9898110709290683 native-country=Trinadad&Tobago
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-0.7347443137051893 0.43242918835107197 native-country=Hong
-0.661810121763806 0.14340638895885785 native-country=Holand-Netherlands
Hidden Weights:
-5.401409957898279 5.401252871708283
-5.517877638743512 5.517626114932706
>50K <=50K
Error sum for iteration 3600 = 63.720833798171654
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9527813667173347 -0.19938368374987178 age
0.4688550775311811 0.8640624925831004 workclass=Private
-1.5462014729951707 3.4722357417741985 workclass=Self-emp-not-inc
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0.6745690279432102 1.02720846558845 workclass=Local-gov
2.9259412641775877 -2.9219914245447467 workclass=State-gov
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0.7168614565021184 -0.762108029412372 workclass=Never-worked
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2.6335756960623793 -0.3186718194036502 education=11th
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1.7430277676599382 0.050333257688553984 education=9th
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1.2622231397495818 0.12602753129563016 education=Masters
0.5192791768366319 0.8882948082452459 education=1st-4th
1.4525947144376024 -0.14687398407993882 education=10th
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0.862404293501669 0.6496947096178236 education=5th-6th
0.21803391228395644 -0.07683630101271365 education=Preschool
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1.5561863010228274 1.0025069643356228 marital-status=Widowed
0.8738169676151413 -0.22792824146668908 marital-status=Married-spouse-absent
0.41952794955985817 -0.31590478524407256 marital-status=Married-AF-spouse
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0.638703932487845 0.3496025940311419 relationship=Not-in-family
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1.0882402302097487 1.4548192314590969 race=Other
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0.9914241940223827 -1.1169050432060295 sex
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0.29085443880182016 -0.9950218091362242 native-country=United-States
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1.263465203270593 0.4891274034103649 native-country=Laos
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0.7619054284851369 0.3094976578174607 native-country=Columbia
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0.062180806535150485 0.9872622649969386 native-country=Trinadad&Tobago
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Hidden Weights:
-5.442847704499954 5.442709741659383
-5.5903438205947005 5.590122444929352
>50K <=50K
Error sum for iteration 3700 = 63.35859560841788
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9453280096093265 -0.18827082401259443 age
0.4479671417691475 0.8980477276753702 workclass=Private
-1.5640144699184275 3.516580716215818 workclass=Self-emp-not-inc
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2.9426288353228878 -2.937580876814348 workclass=State-gov
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0.7194108386338036 -0.7646778426121454 workclass=Never-worked
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2.6527991845482095 -0.3262788431305389 education=11th
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0.5190066654684311 0.8808630974396461 education=1st-4th
1.4683310346150626 -0.14049482501869728 education=10th
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0.22048712421714906 -0.08022617350129427 education=Preschool
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1.0914436221133446 1.4473008673100138 race=Other
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Hidden Weights:
-5.4857039191106365 5.48558236889315
-5.66293494583348 5.66273956039301
>50K <=50K
Error sum for iteration 3800 = 62.9446889059047
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9373787877363166 -0.18079710293935553 age
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0.39512171017438236 0.16503110832007742 native-country=Outlying-US(Guam-USVI-etc)
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0.2968953035294725 2.089577948551843 native-country=Cuba
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1.5639269124185287 1.2562118177825208 native-country=Philippines
0.05640504118870043 0.8824620470419781 native-country=Italy
0.5735132322241141 1.6831040983342331 native-country=Poland
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1.1202149284653746 1.3986089210696055 native-country=Portugal
0.5418590785411458 -0.027037394561820166 native-country=Ireland
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1.2898843326671505 0.5062421341247856 native-country=Laos
1.2806203343640263 -0.5335841977387135 native-country=Ecuador
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0.765880667158459 0.303308873053198 native-country=Columbia
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0.4819577979691442 -0.6236889548624003 native-country=Guatemala
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0.7531363064709193 0.2913615295457884 native-country=Thailand
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0.06726885731952678 0.98220087727296 native-country=Trinadad&Tobago
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Hidden Weights:
-5.528903553799337 5.528796132238764
-5.735099608673592 5.734926668922472
>50K <=50K
Error sum for iteration 3900 = 62.490283049931826
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9298904334170227 -0.17611616966638666 age
0.42342625988058274 0.9406590827290161 workclass=Private
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2.982887566395459 -2.9638574800067707 workclass=State-gov
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0.7244513103579017 -0.7695074953313029 workclass=Never-worked
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1.4967638149707598 -0.12862335553136017 education=10th
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0.22540477900335415 -0.08617382995743243 education=Preschool
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0.42794251442416664 -0.3223181212658016 marital-status=Married-AF-spouse
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0.06977066039091996 0.9798627990780077 native-country=Trinadad&Tobago
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Hidden Weights:
-5.5716382412776495 5.571543024606731
-5.805919928047729 5.805766422081644
>50K <=50K
Error sum for iteration 4000 = 62.0071859468689
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9233665129431615 -0.17340305980340645 age
0.4188753767635622 0.9506173140638602 workclass=Private
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1.5094515268000739 -0.1231431187993599 education=10th
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0.22781957636222258 -0.08868742162283572 education=Preschool
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Hidden Weights:
-5.613432367129615 5.613347729141429
-5.874556573231965 5.874419944667103
>50K <=50K
Error sum for iteration 4100 = 61.51211958458789
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9179899977726109 -0.17200527009375535 age
0.4178284210235386 0.9552527681346367 workclass=Private
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0.643569722773924 1.1043333180852088 occupation=Farming-fishing
1.8449839779597004 0.44105492878076114 occupation=Transport-moving
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1.122364601727406 -1.0272185415455104 relationship=Unmarried
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1.1013248614656637 1.4194399403564413 race=Other
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0.964866952363556 -0.933365745519459 sex
-0.985393642935128 0.2491478715858635 capital-gain
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0.43465389793383413 -1.0836799677666804 native-country=United-States
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0.7926018533720707 1.3080550404178108 native-country=England
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0.310826533314685 2.0906904287627874 native-country=Cuba
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1.6060926716277277 1.2706343065519723 native-country=Philippines
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1.1263156524489581 1.3909978985774323 native-country=Portugal
0.5492138707439664 -0.03348151613844687 native-country=Ireland
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1.3211954730723834 0.525169563530819 native-country=Laos
1.3403503145205105 -0.5172974651849752 native-country=Ecuador
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0.7717455912875998 0.295371379840896 native-country=Columbia
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0.07462364952233536 0.9757567556963462 native-country=Trinadad&Tobago
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Hidden Weights:
-5.654064577609962 5.653989137902025
-5.940438233423026 5.940316310622565
>50K <=50K
Error sum for iteration 4200 = 61.01294401123273
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9137785607800609 -0.17146654588039456 age
0.41894892240371934 0.9563465013359612 workclass=Private
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3.056627710389095 -2.9940635620798894 workclass=State-gov
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1.5319225517742379 -0.11321570615203777 education=10th
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0.23252657471355218 -0.09289340444795369 education=Preschool
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0.4365202773758789 -0.32659175436502974 marital-status=Married-AF-spouse
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Hidden Weights:
-5.693466040059088 5.6933986231501965
-6.003259377021219 6.003150311210445
>50K <=50K
Error sum for iteration 4300 = 60.52094704706737
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9106987131458214 -0.1714839323396065 age
0.4210881144022223 0.9553855491014973 workclass=Private
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1.5417715164613106 -0.10884629994399797 education=10th
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Hidden Weights:
-5.731648476314756 5.73158807887211
-6.062911245249684 6.062813458147048
>50K <=50K
Error sum for iteration 4400 = 60.04462611839053
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.908730850988573 -0.17185320982494862 age
0.42333045450726325 0.9535069860975907 workclass=Private
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1.5507343552321895 -0.1049260903783518 education=10th
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0.2370945275183366 -0.09624501677045226 education=Preschool
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0.8307128333522267 -1.0153771649308696 marital-status=Divorced
1.538257425852405 -1.2902698307995255 marital-status=Never-married
1.1516521910855964 -0.08322522769212218 marital-status=Separated
1.6876702135217936 1.0933998989092772 marital-status=Widowed
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1.1068076554567658 1.401720295715156 race=Other
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0.9541511783908488 -0.8138373573780385 sex
-1.0604413784147093 0.30188189789468933 capital-gain
-2.0431090062005883 -4.280558523357936 capital-loss
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0.5019052927731357 -1.1242908893297416 native-country=United-States
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0.8373676171021963 1.3204765456176357 native-country=England
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Hidden Weights:
-5.76866679824634 5.7686125620759965
-6.1194140892865025 6.119326229536957
>50K <=50K
Error sum for iteration 4500 = 59.59064448883003
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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0.42496968089242837 0.9515439374479712 workclass=Private
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3.131526326051334 -3.0170658190129105 workclass=State-gov
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Hidden Weights:
-5.804606545738145 5.804557735127191
-6.172869075257619 6.1727899824471
>50K <=50K
Error sum for iteration 4600 = 59.16384221707497
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9082676072083443 -0.1730942075278335 age
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0.08606186728578756 0.9681594113809159 native-country=Trinadad&Tobago
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-0.7083417045293845 0.41077752880289786 native-country=Hong
-0.6354075125880012 0.12175472941070799 native-country=Holand-Netherlands
Hidden Weights:
-5.839586647370518 5.839542629933486
-6.223428015641107 6.223356690618972
>50K <=50K
Error sum for iteration 4700 = 58.76501408093219
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9099432595574554 -0.17376184339921516 age
0.42446656235156094 0.9496310360986898 workclass=Private
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0.7327168967730328 0.9068851972965196 workclass=Local-gov
3.176070861323567 -3.0297761573682522 workclass=State-gov
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0.7429849957470694 -0.7824240642924226 workclass=Never-worked
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0.1362890333431236 0.3455917191958703 education=Bachelors
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2.8133879771985875 -0.3918516838722514 education=11th
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1.3340214208593293 -1.5107192947485946 education=Assoc-acdm
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1.8417138710180094 0.039547661781672995 education=9th
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1.0398679693928876 0.24233016196382406 education=Masters
0.5152750992402021 0.8245555696254276 education=1st-4th
1.5726110456267082 -0.09612797265340053 education=10th
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0.2438309606847235 -0.10018149982918126 education=Preschool
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1.1624003122201354 -0.08307179175350982 marital-status=Separated
1.7261119927023134 1.1262025715240847 marital-status=Widowed
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0.45074059914253806 -0.33021578584346956 marital-status=Married-AF-spouse
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1.111454191767012 1.3857771504373673 race=Other
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0.5648922825901381 -1.161585079310798 native-country=United-States
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1.3615915722451852 0.5451422771927901 native-country=Laos
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0.08830434578009291 0.966946230116888 native-country=Trinadad&Tobago
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Hidden Weights:
-5.873770714891445 5.8737309453017765
-6.271274668699471 6.2712102490227375
>50K <=50K
Error sum for iteration 4800 = 58.38745651405192
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.913031796009731 -0.17435884731301374 age
0.4217876576056505 0.9504615598395053 workclass=Private
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0.15798598360688626 0.33014034183382235 education=Bachelors
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2.8278437728095063 -0.3971727471786377 education=11th
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1.5783580585602293 -0.09421166344974984 education=10th
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0.24608882767675794 -0.10127132486454034 education=Preschool
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Hidden Weights:
-5.907379460572019 5.907343466649099
-6.3166117154980315 6.316553454863622
>50K <=50K
Error sum for iteration 4900 = 58.02141908685807
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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0.338556960958386 2.0903494097659694 native-country=Cuba
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1.6893848795379423 1.2974417055562477 native-country=Philippines
0.08198619913406902 0.8664020838769775 native-country=Italy
0.810994349635583 1.8231586524852377 native-country=Poland
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1.147072686735817 1.3834903670970622 native-country=Portugal
0.5674230430359491 -0.0444838840344834 native-country=Ireland
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1.3707619749418132 0.5479907253366734 native-country=Laos
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0.7868265524342999 0.28150592383185963 native-country=Columbia
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0.5075217624639338 -0.6411354443350699 native-country=Guatemala
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0.793919623328577 0.28387345925279517 native-country=Thailand
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0.09283282181433063 0.9647543878002904 native-country=Trinadad&Tobago
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Hidden Weights:
-5.94069008458075 5.940657455319233
-6.359649015486402 6.359596265989409
>50K <=50K
Error sum for iteration 5000 = 57.66025882820654
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9236541553939249 -0.17516717099897974 age
0.41235171502248835 0.9567180894015177 workclass=Private
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3.2324395466248403 -3.0460555594645196 workclass=State-gov
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0.7498107270966806 -0.7855924940282453 workclass=Never-worked
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1.5878114064130318 -0.09180400174702041 education=10th
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0.9882799863593277 0.7074097116947838 education=5th-6th
0.2506731037044122 -0.10315356750035493 education=Preschool
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0.45940334392194343 -0.3311906039650308 marital-status=Married-AF-spouse
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1.1157785506088982 1.3709840063105958 race=Other
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0.9209802799970455 -0.5929811054263343 sex
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0.0951300771297174 0.9637778003810653 native-country=Trinadad&Tobago
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Hidden Weights:
-5.9740001300495855 5.973970505456603
-6.400592557381178 6.400544753490274
>50K <=50K
Error sum for iteration 5100 = 57.276582099701194
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9310861019662189 -0.17537435395555503 age
0.40690210624819445 0.9620325995725779 workclass=Private
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0.22004902636771206 0.28641110439124695 education=Bachelors
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1.5916199698159015 -0.09122551920499415 education=10th
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0.2529953946139519 -0.10394569866231042 education=Preschool
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Hidden Weights:
-6.007547601811559 6.007520664757597
-6.439640624485698 6.439597268229823
>50K <=50K
Error sum for iteration 5200 = 56.856524485968606
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9397610963397905 -0.1755277487771135 age
0.40189390528912045 0.9684058482321646 workclass=Private
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1.118591541986669 1.3616656797218099 race=Other
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0.9003775724996252 -0.5291075004616351 sex
-1.2710924814206146 0.45369446034475214 capital-gain
-2.271150387372701 -4.737689863495056 capital-loss
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0.6730471120772837 -1.2198307978786775 native-country=United-States
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0.3483241111187599 2.0906731904273914 native-country=Cuba
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1.712393999965506 1.3043337720099417 native-country=Philippines
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1.3817270446343977 0.5496959793912862 native-country=Laos
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Hidden Weights:
-6.041435233959241 6.0414107041637175
-6.476995426225124 6.476956074381742
>50K <=50K
Error sum for iteration 5300 = 56.396013511578914
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9495672396866287 -0.17575801936378704 age
0.3975267989919752 0.9754340873288263 workclass=Private
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3.2874101570896612 -3.0590553142357275 workclass=State-gov
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1.5976879659796615 -0.0910033967303255 education=10th
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0.2576447998775304 -0.10523364587204188 education=Preschool
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Hidden Weights:
-6.0756340052983875 6.075611634925706
-6.512883902548986 6.512848157303919
>50K <=50K
Error sum for iteration 5400 = 55.90087951552548
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9604479196115551 -0.1762466902053927 age
0.39355446369559904 0.9827904442342877 workclass=Private
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0.25995282967347083 -0.10573786172875475 education=Preschool
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Hidden Weights:
-6.110058701230075 6.110038271267745
-6.547567789878661 6.547535293178764
>50K <=50K
Error sum for iteration 5500 = 55.385007654490664
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9723558537436621 -0.1771998669482406 age
0.38958182389499335 0.9902856347936168 workclass=Private
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1.6021938498020898 -0.09151628668143333 education=10th
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1.0463362320881247 0.7468652710510806 education=5th-6th
0.2622456654677206 -0.1061629568949816 education=Preschool
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-4.158350954484898 2.3566914660553384 marital-status=Married-civ-spouse
1.0874535967682606 -1.204693503645443 marital-status=Divorced
1.7651497783752343 -1.417033137992879 marital-status=Never-married
1.1899219216081982 -0.07658034915758968 marital-status=Separated
1.7965020984387792 1.1856550001361592 marital-status=Widowed
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0.47371448401382227 -0.3314068253081173 marital-status=Married-AF-spouse
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0.6066183107042432 1.2923314846609704 occupation=Farming-fishing
2.338698654517711 0.19748276569546433 occupation=Transport-moving
0.556104711831908 0.25315364980100535 occupation=Priv-house-serv
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3.4100495979519088 -0.14888228062377937 relationship=Own-child
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0.5393854363267145 0.7068110478088611 relationship=Not-in-family
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1.7173229256882376 -1.6959317203339583 relationship=Unmarried
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1.1741676085633326 -2.741911811991689 race=Asian-Pac-Islander
0.7416183060095504 0.7154350614670785 race=Amer-Indian-Eskimo
1.1226239447271926 1.3484708306667825 race=Other
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0.8593864347701134 -0.4504631749285644 sex
-1.3541795440853945 0.5116175324208161 capital-gain
-2.3543200306182324 -4.8909614893549325 capital-loss
-2.3435990561650453 -0.13412583336555903 hours-per-week
0.7395929633725626 -1.2509208499409241 native-country=United-States
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0.9684824180175919 1.3503273516208238 native-country=England
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0.35930451734921187 2.093225980978939 native-country=Cuba
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1.732471476669343 1.310453158207671 native-country=Philippines
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0.9361374604902584 1.8979598699985079 native-country=Poland
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1.1680152357759983 1.3871287562113797 native-country=Portugal
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1.3897306331575026 0.5489688055704456 native-country=Laos
1.557646439657587 -0.43527787982552435 native-country=Ecuador
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0.7986953285443662 0.2755228300959128 native-country=Columbia
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0.5213431479396087 -0.6457405823927699 native-country=Guatemala
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0.10665420729000114 0.9601492497425904 native-country=Trinadad&Tobago
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Hidden Weights:
-6.144632829227363 6.144614146256002
-6.5813314513351475 6.581301881459544
>50K <=50K
Error sum for iteration 5600 = 54.86425065449483
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9851658065395159 -0.17880451155117533 age
0.38533478360958956 0.9978519746554739 workclass=Private
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0.47446935378798644 1.034379619427673 workclass=Local-gov
3.352056319956061 -3.068803824919531 workclass=State-gov
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0.7636000647891531 -0.7897431829636025 workclass=Never-worked
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0.2845260883517887 0.2372196195870971 education=Bachelors
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2.943390918750447 -0.43409281575985387 education=11th
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1.6040772236120482 -0.09186570718196072 education=10th
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0.26452217196480127 -0.10652989292733349 education=Preschool
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1.12391632217478 1.3442511225254845 race=Other
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0.7617162337567028 -1.2611834501612988 native-country=United-States
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Hidden Weights:
-6.179298670251653 6.17928156358818
-6.614449589520904 6.614422658187222
>50K <=50K
Error sum for iteration 5700 = 54.34838432049475
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-0.9986114288448391 -0.18118247707248009 age
0.3807633292261975 1.0054812432592353 workclass=Private
-1.6176036637828224 4.222778387036829 workclass=Self-emp-not-inc
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0.846460618690877 0.1899749076570505 education=Masters
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1.605815013545577 -0.09220954161084648 education=10th
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1.0652905268869348 0.7577243869242954 education=5th-6th
0.26677764802434156 -0.10686708888464805 education=Preschool
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0.4791941493711622 -0.3312129376623192 marital-status=Married-AF-spouse
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1.1251798148559342 1.3400866664142996 race=Other
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0.8267391824696828 -0.4101981200127137 sex
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0.7837098435336213 -1.2718393988293355 native-country=United-States
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0.9802075507861242 1.92497322397249 native-country=Poland
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1.1753038474583966 1.3892836439978273 native-country=Portugal
0.5857534526530987 -0.05011327035472981 native-country=Ireland
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1.3938386759082075 0.5475141326621858 native-country=Laos
1.584300859416536 -0.42232950304239286 native-country=Ecuador
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0.8025907659204742 0.2741430524746171 native-country=Columbia
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0.5258521720810834 -0.6467648306552923 native-country=Guatemala
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0.46724024030626504 -0.14757447091145923 native-country=Scotland
0.8187875146747666 0.28505958031009665 native-country=Thailand
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0.11116323143147903 0.959125001480068 native-country=Trinadad&Tobago
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-0.6832403403837 0.40174311890202696 native-country=Hong
-0.6103061484423167 0.11272031950984848 native-country=Holand-Netherlands
Hidden Weights:
-6.213991999778659 6.2139763188956625
-6.647145537643072 6.647120986854054
>50K <=50K
Error sum for iteration 5800 = 53.85198845730997
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-1.0123017633365703 -0.18436991662162058 age
0.37599721860088237 1.0131511765794883 workclass=Private
-1.5921965745526663 4.239366808436358 workclass=Self-emp-not-inc
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3.397776180706128 -3.074366533488605 workclass=State-gov
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0.7680578289241645 -0.790755842016383 workclass=Never-worked
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0.30225363181723724 0.22195466780001005 education=Bachelors
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2.97275926799173 -0.4422755194235924 education=11th
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0.8054823114642988 -1.2830950270502346 native-country=United-States
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-0.6080922009165989 0.1122097704227157 native-country=Holand-Netherlands
Hidden Weights:
-6.248620350012541 6.2486059620028165
-6.679560300674266 6.679537899385814
>50K <=50K
Error sum for iteration 5900 = 53.37749624295032
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
-1.0258125342440971 -0.18833512215358023 age
0.371237412518805 1.0207853530085875 workclass=Private
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Hidden Weights:
-6.283066560773825 6.283053347782987
-6.711749705898304 6.711729246926547
>50K <=50K
Options: -I 6000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.01
-S 1628385166
-H 2
-M 0.01
Input Weights:
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-0.48421688771178595 -1.0222411695552367 native-country=Vietnam
-1.2802666814706047 -0.47116631133817194 native-country=Mexico
1.1860235631056293 1.392495941606992 native-country=Portugal
0.5922505244978284 -0.05173331459093343 native-country=Ireland
-0.5489531172452459 0.28201303234344854 native-country=France
-0.43091304615070897 0.4649329897020842 native-country=Dominican-Republic
1.398819885555108 0.5442742665761786 native-country=Laos
1.6224572480417359 -0.40302417218674624 native-country=Ecuador
-0.7484844710928664 -0.42589649771457705 native-country=Taiwan
-0.2723584877983643 -0.9188323874874327 native-country=Haiti
0.8082059438969952 0.2720583103137973 native-country=Columbia
-0.5607160584652797 -0.05907998858293746 native-country=Hungary
0.5323492439258131 -0.6483848748914917 native-country=Guatemala
-0.35852289285221484 0.002877116951505016 native-country=Nicaragua
0.4737373121509817 -0.14919451514766763 native-country=Scotland
0.827018868642902 0.285633744842882 native-country=Thailand
-0.2735183143656358 -0.9405525054267466 native-country=Yugoslavia
-0.553600375920763 -0.050223428788212156 native-country=El-Salvador
0.11766030327620323 0.9575049572438686 native-country=Trinadad&Tobago
-0.7320629326942294 0.18477928434614993 native-country=Peru
-0.6767432685389703 0.40012307466582114 native-country=Hong
-0.603809076597587 0.11110027527364345 native-country=Holand-Netherlands
Hidden Weights:
-6.3168701420704405 6.316857988679821
-6.743388563243588 6.743369843934297
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 473 91.8447 %
Incorrectly Classified Instances 42 8.1553 %
Mean absolute error 0.1982
Root mean squared error 0.2646
Relative absolute error 57.3963 %
Root relative squared error 63.7431 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
87 27 | a = >50K
15 386 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 417 80.9709 %
Incorrectly Classified Instances 98 19.0291 %
Mean absolute error 0.2718
Root mean squared error 0.3846
Relative absolute error 77.4904 %
Root relative squared error 91.2269 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
57 62 | a = >50K
36 360 | b = <=50K
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