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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-0.7597289633584707 -0.29582776220957085 age
-0.0094599687289465 -0.4236939887929667 workclass=Private
-0.08596554819596736 -0.016394714103056707 workclass=Self-emp-not-inc
-0.9834323231679689 0.3754019820491725 workclass=Self-emp-inc
0.27414147287201174 0.5252582586845658 workclass=Federal-gov
-0.7628755774998277 0.08330813661944969 workclass=Local-gov
0.31121723612592667 -0.3205362320054259 workclass=State-gov
-0.703897262027728 -0.6362604569775678 workclass=Without-pay
0.038709880157069554 0.23495368283473206 workclass=Never-worked
0.6619861833447898 0.6106292819838444 fnlwgt
-0.5260323535863547 -0.49124924911955525 education=Bachelors
0.6781680456271271 -0.5892119577327142 education=Some-college
0.8531885120443059 -0.35606055942971726 education=11th
0.1427270639091014 0.4469764357534418 education=HS-grad
-0.4007838120540448 0.180566171829182 education=Prof-school
-0.9700393368153777 -0.3780547523620357 education=Assoc-acdm
0.04025941540248956 0.7746495765272681 education=Assoc-voc
-0.6221208777964875 0.9065100127558419 education=9th
-0.36508715315276685 -0.851673364399584 education=7th-8th
0.5803805327971838 0.09903006012727888 education=12th
0.34787296598431405 0.5796639417878331 education=Masters
-0.6346554957476744 -0.00422742140118304 education=1st-4th
-0.3362629802027368 0.8215102528367237 education=10th
-0.145455251261273 0.04632628095002933 education=Doctorate
-0.18573698325864574 0.8316041958419997 education=5th-6th
-0.7490227807643963 0.5090032265264219 education=Preschool
-0.6127804150964853 0.3763640047182286 education-num
-0.9344282565709796 -0.4997067093736951 marital-status=Married-civ-spouse
0.310980335011003 0.9325184357317966 marital-status=Divorced
0.27869104734240135 -0.3090648022610525 marital-status=Never-married
-0.034412209494988355 0.5668804366327378 marital-status=Separated
0.5514646850935636 0.2487999527964131 marital-status=Widowed
-0.9758625244019901 -0.9432436278101566 marital-status=Married-spouse-absent
-0.6042562602149137 -0.0559324336385878 marital-status=Married-AF-spouse
0.7127826783621598 -0.42788543827739334 occupation=Tech-support
0.13593937939441125 -0.9376195511229786 occupation=Craft-repair
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0.327741450950608 -0.011820659018873858 occupation=Exec-managerial
0.020557330229165505 -0.14585110099103793 occupation=Prof-specialty
0.5570398868364685 0.8069461271162279 occupation=Handlers-cleaners
-0.3738555172852127 -0.15036388582059335 occupation=Machine-op-inspct
0.4621761186411131 0.583021877337089 occupation=Adm-clerical
0.9815408373679 0.8166527389686673 occupation=Farming-fishing
0.48988921442933586 -0.8272018794246652 occupation=Transport-moving
0.3574214987035478 -0.44068442563079335 occupation=Priv-house-serv
-0.5182793565426309 -0.6206501815447192 occupation=Protective-serv
-0.7518382339000973 -0.046916634925803224 occupation=Armed-Forces
0.19516121167983913 0.1414491996122207 relationship=Wife
0.6120638586139069 -0.1759049136849049 relationship=Own-child
0.2714607377901417 -0.9841583583342104 relationship=Husband
-0.519388162778565 -0.273095125736432 relationship=Not-in-family
0.7755728384666358 -0.6628814756982704 relationship=Other-relative
0.10043917013421311 0.8394537347559077 relationship=Unmarried
-0.13150090203252462 -0.8409592304727143 race=White
-0.2562218336271469 0.7981009599234441 race=Asian-Pac-Islander
-0.7416672369719595 0.36892632091324873 race=Amer-Indian-Eskimo
-0.5134734934694634 -0.3281433669131255 race=Other
0.5733513660991907 -0.001900548156984705 race=Black
-0.7106377727574975 -0.004118251265530448 sex
0.9370790329141065 -0.27944497838129756 capital-gain
0.02694361503918352 0.89086722165529 capital-loss
-0.0013928122419266664 -0.448196784981878 hours-per-week
-0.6877021359581916 0.7968320796249837 native-country=United-States
0.14763416126094242 -0.238024797204055 native-country=Cambodia
-0.6040881752188583 0.7257140632131762 native-country=England
-0.7425675822984759 -0.3479274913643253 native-country=Puerto-Rico
0.6384373121658926 -0.3658758418222119 native-country=Canada
-0.8462145928165321 0.9788781261344959 native-country=Germany
0.33769947709433046 0.45181667299513073 native-country=Outlying-US(Guam-USVI-etc)
0.17612894667406653 -0.9595953259868475 native-country=India
0.5289924619928597 0.3575577180851741 native-country=Japan
-0.7803105912839812 -0.4435275024215004 native-country=Greece
-0.014650277288390523 -0.5743328938832133 native-country=South
0.03410849461873977 -0.9765167281719609 native-country=China
-0.546768522063257 0.09583112660005577 native-country=Cuba
-0.7166085888658127 -0.06718068765200846 native-country=Iran
0.31926478388434054 -0.16314634998918565 native-country=Honduras
-0.10872148704319717 -0.41855075485335047 native-country=Philippines
-0.21555105702156707 0.6415883860716958 native-country=Italy
-0.07866103962459059 -0.1471068257055954 native-country=Poland
0.3114840003864008 -0.16609621047426448 native-country=Jamaica
0.05697809726145131 -0.2929071961565395 native-country=Vietnam
-0.08475833056654403 0.2864264899323843 native-country=Mexico
-0.4933387999183503 -0.19192518885381715 native-country=Portugal
-0.1887414627612487 -0.7939855649848517 native-country=Ireland
-0.31375727949909016 -0.9235091437856482 native-country=France
-0.733361392825439 -0.22281011290960429 native-country=Dominican-Republic
-0.38562444346143665 -0.46320470059812946 native-country=Laos
0.17479164817924464 0.2656277524040873 native-country=Ecuador
0.858317404361757 0.9113808828571281 native-country=Taiwan
0.08164894048076543 0.7465167410272613 native-country=Haiti
-0.18542623250664358 -0.5094323554781519 native-country=Columbia
-0.9732215979474652 -0.022797939467273487 native-country=Hungary
0.7989780857405548 0.090827035314331 native-country=Guatemala
0.7473076431444459 -0.4102544792049354 native-country=Nicaragua
0.020030666835233468 0.835656936341904 native-country=Scotland
0.36364535241042617 -0.2845828615124668 native-country=Thailand
-0.8476378343521984 0.20450042113937061 native-country=Yugoslavia
0.6803143657828499 0.3169283692377949 native-country=El-Salvador
-0.4824319074771135 -0.33584338569468875 native-country=Trinadad&Tobago
0.46815491919422403 0.31144444733372834 native-country=Peru
0.3896493431310484 0.3121609813995412 native-country=Hong
0.5398758341797545 0.40284014953724134 native-country=Holand-Netherlands
Hidden Weights:
0.802306500626303 0.25880354773041203
0.5610747745446805 0.6836939106335227
>50K <=50K
Error sum for iteration 100 = 726.4669458549656
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-1.0867288628593783 -1.1817197328384936 age
0.3079209113749794 0.3025365414886385 workclass=Private
-0.07355596106973915 1.1351139040428666 workclass=Self-emp-not-inc
-1.044966126291914 -0.31979211312701405 workclass=Self-emp-inc
0.14888108317091064 -0.4190259107573123 workclass=Federal-gov
-0.5880329819008586 0.8594186115528832 workclass=Local-gov
0.5758615593797143 0.44568690113383935 workclass=State-gov
-0.6609537168362495 -0.5055115426209009 workclass=Without-pay
0.08040499605369324 0.3623765765839778 workclass=Never-worked
0.6385965369436254 0.4480883080014742 fnlwgt
-0.20683325692579396 -0.12474808576863351 education=Bachelors
0.82754384759739 0.403882202404802 education=Some-college
1.0989654320134579 0.6824919117416977 education=11th
0.1639096500568987 0.37927037126025465 education=HS-grad
-0.6202276272993612 -1.040508606179558 education=Prof-school
-0.7925316418277749 0.009000943233782713 education=Assoc-acdm
0.010498001148893595 0.36813538793852824 education=Assoc-voc
-0.506627517775515 1.4966047714219337 education=9th
-0.013841504072539463 0.688402966508168 education=7th-8th
0.7240795314821272 0.6977543053676518 education=12th
0.02327787685977492 -0.4077808108717637 education=Masters
-0.5316018048388206 0.4183233753168527 education=1st-4th
-0.278099929168835 1.4570415924720528 education=10th
-0.3368202161626995 -0.9841873424169397 education=Doctorate
-0.1525588959636817 0.8625254273668971 education=5th-6th
-0.7010496524798463 0.6773038906777543 education=Preschool
-0.8920419600222802 -1.692830195465515 education-num
-0.8645337583866467 -1.1759827235111564 marital-status=Married-civ-spouse
0.200690507756268 0.6717974753199777 marital-status=Divorced
0.44872904194343877 1.0770629196776476 marital-status=Never-married
0.08457343122224448 0.43671022012378075 marital-status=Separated
0.6704749960983657 0.32824975919675653 marital-status=Widowed
-0.793241408228379 0.2823762649643621 marital-status=Married-spouse-absent
-0.5290892551919113 0.23138074254485252 marital-status=Married-AF-spouse
0.5587171622295416 -0.8034753850891151 occupation=Tech-support
0.4859704903163997 -0.12842502502835323 occupation=Craft-repair
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0.07037013341535751 -0.894192769079592 occupation=Exec-managerial
-0.08603046503034768 -0.11723756343272289 occupation=Prof-specialty
0.5075198167909993 0.7794303529675942 occupation=Handlers-cleaners
-0.15192671721273357 0.5707617261019466 occupation=Machine-op-inspct
0.5336949249055193 0.2859336030900202 occupation=Adm-clerical
1.1198194120155471 1.2893485570719083 occupation=Farming-fishing
0.6322495383039454 0.2658288281956524 occupation=Transport-moving
0.43537270652746196 -0.1996084905543578 occupation=Priv-house-serv
-0.38521786016520565 -0.2173912898329166 occupation=Protective-serv
-0.7072303494792362 0.08619310183672699 occupation=Armed-Forces
0.12068436949769187 -1.0607127038873811 relationship=Wife
0.7421226578110244 0.8774131044307849 relationship=Own-child
0.5014977437479868 -0.11886503587841303 relationship=Husband
-0.23365309721187613 0.1785070283174597 relationship=Not-in-family
0.9178834794500267 0.07206711500012541 relationship=Other-relative
-0.029493876835951092 0.7203740654213842 relationship=Unmarried
0.15849912779614153 -0.05297044180910362 race=White
-0.26873779807908993 0.538978319638085 race=Asian-Pac-Islander
-0.67974544302977 0.8637670402448531 race=Amer-Indian-Eskimo
-0.37861773083268363 0.31802733885363166 race=Other
0.6411262507996014 -0.015280502893218598 race=Black
-0.9131281351231257 0.02285091753331203 sex
0.6827738289677884 -1.1564326644451957 capital-gain
-0.32802177246522235 -1.0348154926502042 capital-loss
-0.48097688614173106 -2.5801038077292335 hours-per-week
-0.6716996846514193 0.12462196258652528 native-country=United-States
0.15713119658548708 -0.26974209985128306 native-country=Cambodia
-0.5250407183584826 1.004797671638693 native-country=England
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0.6799719856137747 -0.37707775922002085 native-country=Canada
-0.8147293066284876 0.8705693490942342 native-country=Germany
0.3860730248708517 0.6033592092070612 native-country=Outlying-US(Guam-USVI-etc)
0.2917930610134886 -0.3737111969513085 native-country=India
0.5625266568427477 0.5545597983125843 native-country=Japan
-0.7134755554181911 -0.26360936463097284 native-country=Greece
0.03880261179901964 -0.43047876904175486 native-country=South
0.1343963635339312 -0.4631225753534529 native-country=China
-0.4038954781465511 0.6427994259237559 native-country=Cuba
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0.380835048651512 0.03367627586163348 native-country=Honduras
-0.11363436975167804 -0.4411058572339906 native-country=Philippines
-0.2668194201520688 0.42684003862953707 native-country=Italy
0.047853244359180314 0.27038359215613966 native-country=Poland
0.31735547297001016 -0.22564542176085547 native-country=Jamaica
0.09786185651811496 -0.11122352158237894 native-country=Vietnam
0.09728170768930997 1.0588459917792554 native-country=Mexico
-0.4656187855440432 -0.08888123560485277 native-country=Portugal
-0.15518344078595475 -0.7077098580523405 native-country=Ireland
-0.26966789663713814 -0.7797305857724198 native-country=France
-0.7019199713025706 -0.04924774781109717 native-country=Dominican-Republic
-0.30919868909692855 -0.20370168303925446 native-country=Laos
0.23102611217187677 0.43404929326624475 native-country=Ecuador
0.7836570753770206 0.6060692016839945 native-country=Taiwan
0.15081906411294743 0.9880329074642605 native-country=Haiti
-0.08390171616694907 -0.1590465135829969 native-country=Columbia
-0.9315264820508409 0.10462495428199191 native-country=Hungary
0.8172085919689623 0.1780098719826034 native-country=Guatemala
0.8537789195456358 -0.12096668111826911 native-country=Nicaragua
0.06326952808925596 0.96616998001781 native-country=Scotland
0.4020934656996251 -0.0814522508103503 native-country=Thailand
-0.7996897498154143 0.39475006186378536 native-country=Yugoslavia
0.737302183314443 0.505617293501778 native-country=El-Salvador
-0.40068794402732144 -0.05598551719302548 native-country=Trinadad&Tobago
0.5128166607421819 0.45777214450122894 native-country=Peru
0.43162578134624113 0.4408295075957571 native-country=Hong
0.5815709500763788 0.5302630432865082 native-country=Holand-Netherlands
Hidden Weights:
-0.8891867193944458 0.9897331013602264
-3.570153577010254 3.531185099949651
>50K <=50K
Error sum for iteration 200 = 728.3712567922875
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-1.4157706692301166 -1.3256791646748967 age
0.5424361295845822 0.30083580293985474 workclass=Private
-0.3569310651069122 1.1928485658911872 workclass=Self-emp-not-inc
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0.2504737197662129 -0.3375527216566754 workclass=Federal-gov
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0.6173929463821822 0.4737374473950468 workclass=State-gov
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0.0869880752084551 0.38834258546418493 workclass=Never-worked
0.5895533599403968 0.11255552900229548 fnlwgt
8.649422083565721E-4 -0.10123210741524065 education=Bachelors
0.7717183761861903 0.4166046682614741 education=Some-college
1.056171463613841 0.8454111566843313 education=11th
0.24190560666031607 0.3699582245041647 education=HS-grad
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0.0025111269285868314 0.35924949715096083 education=Assoc-voc
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0.031325375823051026 0.84814241167988 education=7th-8th
0.7533593557143298 0.972860261351982 education=12th
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0.6839429234787153 0.2995627703628216 occupation=Adm-clerical
1.1494673088298497 1.4051923162259248 occupation=Farming-fishing
0.4920331108111853 0.3502824183398565 occupation=Transport-moving
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0.6794954362502466 0.9184771000090847 relationship=Own-child
0.45171224414185285 0.17128237457585338 relationship=Husband
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0.7042896062550387 -0.15007203413052747 race=Black
-1.1889024274673567 -0.0914593906981269 sex
0.5265431111054806 -1.7942735510495487 capital-gain
-0.4357929995023089 -1.8849977137851464 capital-loss
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0.12527492695399875 -0.415626739716195 native-country=Cambodia
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0.7133660766118457 -0.6048390689691981 native-country=Canada
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0.3956893535114479 0.6384079893721 native-country=Outlying-US(Guam-USVI-etc)
0.33982164055494446 0.1750539963084519 native-country=India
0.5577673835717332 0.6983897067500191 native-country=Japan
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0.17754788362984172 -0.06369422574435177 native-country=China
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0.40220997117142226 0.12124833294174167 native-country=Honduras
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0.11334816850386543 0.6053412086111828 native-country=Poland
0.27230627460081525 -0.5115398389178315 native-country=Jamaica
0.08542992264846333 -0.002839706987421093 native-country=Vietnam
0.08983522620294282 1.2056086762533207 native-country=Mexico
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0.2425735879981408 0.47348312759193995 native-country=Ecuador
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0.17603233357998338 1.1005881556250787 native-country=Haiti
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0.7923445476993123 0.10260327664970184 native-country=Guatemala
0.9105473705226659 0.1110056617625576 native-country=Nicaragua
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0.40942247022935785 0.055531306057220384 native-country=Thailand
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0.7501003306966537 0.5338853573004254 native-country=El-Salvador
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0.5268341127999566 0.49221362113113715 native-country=Peru
0.43794964614031834 0.4664087445769771 native-country=Hong
0.5881540292311329 0.5562290521667356 native-country=Holand-Netherlands
Hidden Weights:
-0.9300436023513342 0.9401495988943516
-3.8057298837879 3.8009311960132233
>50K <=50K
Error sum for iteration 300 = 731.2643241031188
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-1.7816058654135154 -1.2551136854044498 age
0.7397823874353764 0.2773823348454682 workclass=Private
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0.343644620452858 -0.3110496661740149 workclass=Federal-gov
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0.5806080201355878 -0.06999682301018928 fnlwgt
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0.769906450552878 -0.27351991452814606 race=Black
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0.4099548180373378 -2.284212309374827 capital-gain
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0.19680186348241557 1.1761528792781268 native-country=Haiti
0.03447235604130911 0.4721497361734308 native-country=Columbia
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0.7613580512069115 3.4130740657353016E-4 native-country=Guatemala
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0.41406042273406773 0.16719207041084858 native-country=Thailand
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0.7674391350017675 0.5511149311755653 native-country=El-Salvador
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0.5406842910295917 0.5060086474343515 native-country=Peru
0.44167084628437975 0.4741468133868587 native-country=Hong
0.5921582346515718 0.5644668515502822 native-country=Holand-Netherlands
Hidden Weights:
-1.0756486956464695 1.0761150936775274
-3.8532787840631784 3.8530226132289767
>50K <=50K
Error sum for iteration 400 = 734.2884067433216
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-2.204204093285906 -1.1495644920211439 age
0.8562103207448025 0.25280263242757833 workclass=Private
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0.779314820589261 1.3004044059007136 education=12th
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Hidden Weights:
-1.2636927719588664 1.2637024174211136
-3.8666471341564232 3.8666417521837277
>50K <=50K
Error sum for iteration 500 = 737.8721772983403
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-2.652893041446381 -1.0336405606713028 age
0.8854122392087616 0.2368737030660177 workclass=Private
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0.8825488134270857 -0.41734628368347076 race=Black
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0.22830620961633025 -3.1251784926345927 capital-gain
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0.035350050960105975 -0.8729053086779447 native-country=Cambodia
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0.31560537812202044 1.023560273199841 native-country=India
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0.2597703112318685 0.5062018979060147 native-country=Ecuador
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0.1430554643802636 1.055111118412559 native-country=Columbia
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0.6796458526625602 -0.21477790307182226 native-country=Guatemala
1.0208720482745135 0.5204323104605411 native-country=Nicaragua
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0.8092755517218931 0.5604894895251705 native-country=El-Salvador
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0.5627897509280567 0.497181814745839 native-country=Peru
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0.5958409773142963 0.5673732213158308 native-country=Holand-Netherlands
Hidden Weights:
-1.4542024671151297 1.4542025801581013
-3.889732268699243 3.889732226094868
>50K <=50K
Error sum for iteration 600 = 742.6050820222237
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-3.109226879362527 -0.9045685181107647 age
0.8522842255501442 0.22765476776537738 workclass=Private
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0.9182932318976299 -0.4657996540481515 race=Black
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0.19508216133322312 1.3212487484782078 native-country=Columbia
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0.8260547340465639 0.5461039579402142 native-country=El-Salvador
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0.5657910907673896 0.48197719137856865 native-country=Peru
0.4426989022417958 0.4733365019854597 native-country=Hong
0.5943515980104567 0.5665738072600822 native-country=Holand-Netherlands
Hidden Weights:
-1.6629905066691302 1.6629905079638396
-3.9330557412629323 3.93305574133648
>50K <=50K
Error sum for iteration 700 = 748.2365210190283
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-3.5730608585444332 -0.7568197764684347 age
0.7877020721799 0.2219676113194738 workclass=Private
-1.2576640910733081 1.282721066949297 workclass=Self-emp-not-inc
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0.6473697372305692 -0.28506878508976474 fnlwgt
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0.11677039976839984 -3.850005182281777 capital-gain
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0.24843526655961534 1.3599295885644207 native-country=Haiti
0.2482583892672704 1.56780446789469 native-country=Columbia
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0.08522724411847071 1.0206849998801817 native-country=Scotland
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0.83669411922548 0.5163698959988763 native-country=El-Salvador
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0.4382345385054168 0.47075072066049733 native-country=Hong
0.590470630062981 0.5654586376884205 native-country=Holand-Netherlands
Hidden Weights:
-1.9035280839660154 1.9035280839942905
-3.9948521943222044 3.9948521943315862
>50K <=50K
Error sum for iteration 800 = 754.048586389195
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-4.0476893710223125 -0.5887151312185406 age
0.7151859571347162 0.22058975085216193 workclass=Private
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1.0606065328654815 -0.061458509269036184 marital-status=Separated
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0.9401698014561173 -0.5504690377419901 race=Black
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0.08729176634334229 -4.125994845152476 capital-gain
0.01625240494711575 -2.17695142780879 capital-loss
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Hidden Weights:
-2.1563169195181953 2.1563169195194014
-4.065655495778738 4.065655495779209
>50K <=50K
Error sum for iteration 900 = 759.4502360258066
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-4.52736958867923 -0.40736939276009615 age
0.6452218414516299 0.22470221160114692 workclass=Private
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Hidden Weights:
-2.3940998219215017 2.3940998219215843
-4.133086659592869 4.133086659592899
>50K <=50K
Error sum for iteration 1000 = 764.2451250035517
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-5.002225128628534 -0.2199273063177058 age
0.5850187003328028 0.23201980395836624 workclass=Private
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0.06812963779250467 -4.524163043695838 capital-gain
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Hidden Weights:
-2.6108073823051394 2.6108073823051483
-4.18992366863959 4.189923668639592
>50K <=50K
Error sum for iteration 1100 = 768.0908236264964
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-5.462752827451063 -0.034785735873788914 age
0.5414740577450025 0.2393197206313089 workclass=Private
-1.4474316940772152 1.3417392076309507 workclass=Self-emp-not-inc
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0.7367762923684635 -0.35811423267499337 fnlwgt
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0.7769902633966909 -1.3061409373829849 education=Doctorate
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0.888268560956012 -0.6208567813954453 race=Black
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0.07217351070368837 -4.667238637440207 capital-gain
0.21058958947653678 -2.137135013089313 capital-loss
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Hidden Weights:
-2.811217872236938 2.8112178722369383
-4.235061487473375 4.235061487473376
>50K <=50K
Error sum for iteration 1200 = 770.7929546474501
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-5.89948229527749 0.1369737706858879 age
0.5136482697721293 0.24511315974802875 workclass=Private
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0.40934132186299166 0.4644775583798179 native-country=Hong
0.5681043986405759 0.5669658329072058 native-country=Holand-Netherlands
Hidden Weights:
-2.99727511834124 2.9972751183412396
-4.270241339152428 4.2702413391524265
>50K <=50K
Error sum for iteration 1300 = 772.3758553400816
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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0.2197727333829592 0.5420008345029411 native-country=Ecuador
0.5221593751597751 -0.5743968304518752 native-country=Taiwan
0.24590101965105637 1.4890516880641371 native-country=Haiti
0.6731196892317254 2.501211831367455 native-country=Columbia
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0.1725628131784619 -0.8431332920104092 native-country=Guatemala
1.0900942577768815 0.9697802019776295 native-country=Nicaragua
0.06233930107849917 1.0374952220610967 native-country=Scotland
0.3776623000149649 0.913572782073555 native-country=Thailand
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0.8484452852498638 0.19068142254660728 native-country=El-Salvador
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0.473654374335041 0.35219492481478487 native-country=Peru
0.4024747202350553 0.46462960094137973 native-country=Hong
0.5635819995657085 0.5685627415788778 native-country=Holand-Netherlands
Hidden Weights:
-3.1675530303270376 3.16755303032704
-4.297877388577578 4.297877388577581
>50K <=50K
Error sum for iteration 1400 = 772.992199390808
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-6.6768702335920915 0.41157743169586475 age
0.4800672205381618 0.2555051037579239 workclass=Private
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1.0937174167181891 -0.5068754550510641 workclass=Federal-gov
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0.45810839954366117 0.5250348157918532 workclass=State-gov
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0.05821381749776277 0.40238828742995875 workclass=Never-worked
0.7442641268857709 -0.3610851233337365 fnlwgt
0.5100535902111938 -0.30560648383950767 education=Bachelors
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1.2419603272760602 -1.4732781632212897 education=Doctorate
0.08452195604306915 -0.6250551935222349 education=5th-6th
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0.8071335934867668 -1.9484511471413495 education-num
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1.2465051683819262 -0.18337833555304758 marital-status=Separated
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0.36796800146199893 0.27480145459283867 occupation=Adm-clerical
0.20266854715371618 1.373386164114308 occupation=Farming-fishing
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1.7840761619013388 -1.1237245763980748 relationship=Wife
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1.0221257377866246 0.5495926414862031 relationship=Husband
0.7531055885344712 -0.5073669701335898 relationship=Not-in-family
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0.83389485483488 -0.635494633699737 race=Black
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0.11729891004516482 -4.968056029055044 capital-gain
0.4163619864677339 -2.1580651185096205 capital-loss
0.19529184706680802 -2.6961325105299028 hours-per-week
-1.1119508795035096 0.021282527191739897 native-country=United-States
0.05083119053458735 -2.533382803784306 native-country=Cambodia
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1.318542744891447 -1.706363670454465 native-country=Canada
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1.568696403577154 -0.47499710503464376 native-country=South
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0.21528536806305815 0.5524320069951395 native-country=Ecuador
0.43359992529701585 -0.5881174404529281 native-country=Taiwan
0.24416730603007425 1.5061994539595256 native-country=Haiti
0.7091356152787684 2.5559773464783797 native-country=Columbia
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0.12384879335394153 -0.8874207953040475 native-country=Guatemala
1.0887778633912657 1.0025999248518316 native-country=Nicaragua
0.058448980491903134 1.040968067199733 native-country=Scotland
0.3679488675254426 0.968294372269515 native-country=Thailand
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0.8510341632324567 0.13789675893714812 native-country=El-Salvador
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0.4595224611927289 0.33964239257000206 native-country=Peru
0.39556846672685325 0.464911289952305 native-country=Hong
0.559379771520364 0.5702747541324914 native-country=Holand-Netherlands
Hidden Weights:
-3.3204535226731116 3.3204535226731102
-4.319539101448547 4.319539101448545
>50K <=50K
Error sum for iteration 1500 = 772.8197208740066
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-7.013218154371993 0.5107597056377475 age
0.4665944716400757 0.2617636688366812 workclass=Private
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1.0488854268090735 -0.4879861389880474 workclass=Federal-gov
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0.4732995590608284 0.5262777942224571 workclass=State-gov
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0.7387548060270216 -0.35559591383330186 fnlwgt
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0.4230943660538225 1.9980723537863032 education=12th
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1.3340930349523206 -1.518790485176751 education=Doctorate
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0.8450110317233264 -1.9796908508366284 education-num
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0.119682316627838 1.390938445306629 occupation=Farming-fishing
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0.7359837147055538 2.5980296482911034 native-country=Columbia
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0.05498177115052032 1.0443589988887312 native-country=Scotland
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0.8543204107775029 0.08738893465606747 native-country=El-Salvador
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0.38884848325284943 0.46519638846053285 native-country=Hong
0.5556443384009753 0.5719802115339505 native-country=Holand-Netherlands
Hidden Weights:
-3.456019981323523 3.456019981323523
-4.335813390910683 4.335813390910686
>50K <=50K
Error sum for iteration 1600 = 772.0230462302978
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-7.315891032029649 0.5869181879415788 age
0.45295008176000323 0.26909927314785526 workclass=Private
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1.3570153448724764 -1.8147354942612146 native-country=Canada
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0.34255666349730446 0.6708758884337356 native-country=Outlying-US(Guam-USVI-etc)
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0.537565843687643 2.098028078297051 native-country=Japan
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1.9727395813595427 -0.6600988649395403 native-country=South
0.40979193208042447 0.7854687035735881 native-country=China
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0.35190042443478314 -2.3365449364055797 native-country=Jamaica
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0.2075010488355574 0.5753030013117023 native-country=Ecuador
0.2575979693612782 -0.5909318739426721 native-country=Taiwan
0.24525698581254227 1.541808777472337 native-country=Haiti
0.7566456333701165 2.631467387579765 native-country=Columbia
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0.05057918854265847 -0.9610329939751443 native-country=Guatemala
1.0836842473534551 1.0604708812686512 native-country=Nicaragua
0.05195125449402308 1.0476323174432565 native-country=Scotland
0.34811037416089985 1.0590671926891377 native-country=Thailand
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0.8581800801569254 0.039440765259464806 native-country=El-Salvador
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0.4412643354957517 0.3182718942215669 native-country=Peru
0.3824012916015779 0.465433131225965 native-country=Hong
0.5523792621015149 0.573627676269634 native-country=Holand-Netherlands
Hidden Weights:
-3.5763163276362055 3.576316327636207
-4.347005578072774 4.347005578072775
>50K <=50K
Error sum for iteration 1700 = 770.7506617594469
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-7.587699787773549 0.6436341974460406 age
0.4386359682775675 0.27734402374058514 workclass=Private
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0.8095140244090201 -0.6219025089639315 race=Black
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0.3762442179740728 0.4656075485186206 native-country=Hong
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Hidden Weights:
-3.684438674714966 3.684438674714969
-4.353734887793028 4.353734887793025
>50K <=50K
Error sum for iteration 1800 = 769.1404467313099
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-7.831780818556076 0.6848102798571707 age
0.4238261346125344 0.28614018078552944 workclass=Private
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Hidden Weights:
-3.7830305682384195 3.7830305682384204
-4.357077366251223 4.357077366251224
>50K <=50K
Error sum for iteration 1900 = 767.3152242533458
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-8.050910616106389 0.7139838556280722 age
0.4089743932172764 0.29510630605843996 workclass=Private
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0.8115747696932911 -0.6096933129578124 race=Black
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0.22971579644581472 -5.276764521396649 capital-gain
0.8273119648922007 -2.286697763076643 capital-loss
0.42406741084550115 -2.7026371013941843 hours-per-week
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1.3562569204522572 -1.9060772570483906 native-country=Canada
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2.460884612619937 -0.9680986410702623 native-country=South
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1.072148858575284 1.1328748058209945 native-country=Nicaragua
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0.8725005357861175 -0.08563396403048526 native-country=El-Salvador
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Hidden Weights:
-3.873358321634295 3.8733583216342953
-4.3583144770754165 4.358314477075419
>50K <=50K
Error sum for iteration 2000 = 765.3881252010547
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-8.24751093638783 0.7339047947486317 age
0.3944318741123072 0.30397054099797977 workclass=Private
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1.5438721576236534 -1.6372734567616527 education=Doctorate
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0.2618659326085055 1.616549456415691 native-country=Haiti
0.805047817946536 2.7171834527202496 native-country=Columbia
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0.3595023638343635 0.4657256268617802 native-country=Hong
0.5431744368610888 0.5794577855953376 native-country=Holand-Netherlands
Hidden Weights:
-3.9555653637339065 3.955565363733908
-4.3584908243255915 4.358490824325595
>50K <=50K
Error sum for iteration 2100 = 763.4482191292321
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-8.423998101119016 0.7465665297724114 age
0.38027809201402185 0.31260563158472643 workclass=Private
-1.364834111731814 1.3312376793653 workclass=Self-emp-not-inc
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1.562328589109237 -1.6485644753443829 education=Doctorate
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0.2649811921408352 -5.368467817552579 capital-gain
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0.26729918746198716 1.6348107431106278 native-country=Haiti
0.8119306337941975 2.731320682811962 native-country=Columbia
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1.0630091624943805 1.1746306964886544 native-country=Nicaragua
0.04213199110548444 1.0623752159936248 native-country=Scotland
0.30219829525267566 1.2131665711336181 native-country=Thailand
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0.8839190787705233 -0.15125895204145898 native-country=El-Salvador
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0.453225165574581 0.28908714605200536 native-country=Peru
0.35444574213142815 0.4656291539143394 native-country=Hong
0.5416576040850929 0.580718807929325 native-country=Holand-Netherlands
Hidden Weights:
-4.029617823116518 4.029617823116519
-4.358167787782916 4.358167787782919
>50K <=50K
Error sum for iteration 2200 = 761.5522939858125
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-8.582917388068031 0.7535021034161306 age
0.3664075406816905 0.3209758063803736 workclass=Private
-1.3683670120630997 1.3328797597173807 workclass=Self-emp-not-inc
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1.5775583099348218 -1.6577197160430677 education=Doctorate
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1.3399307100575255 0.4816799473186999 relationship=Husband
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0.8354056137562468 -0.596349688732496 race=Black
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0.27955399484842985 -5.409157908394634 capital-gain
1.0529836177080036 -2.3755580003827643 capital-loss
0.5668956063741999 -2.7333255230281104 hours-per-week
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0.3903526733544524 -3.0248299516734813 native-country=Cambodia
0.16756383769596148 0.598893062118264 native-country=England
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0.43720621123677256 2.351917709744843 native-country=Japan
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2.835728878788882 -1.2563724999344683 native-country=South
0.44017732640464097 0.8335636965182414 native-country=China
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Hidden Weights:
-4.095912836624687 4.095912836624684
-4.357530993303581 4.357530993303582
>50K <=50K
Error sum for iteration 2300 = 759.7270297097037
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-8.726803475568278 0.7559939247727782 age
0.35266624881122155 0.3290790205649331 workclass=Private
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0.6789141651384049 0.49401086058808585 workclass=State-gov
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0.03809444411172841 0.4151522559061195 workclass=Never-worked
0.5834893907862814 -0.2997695084306453 fnlwgt
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0.29221949333730785 -5.446662203524797 capital-gain
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0.27835881612481617 1.670113962257288 native-country=Haiti
0.8218719181080388 2.7544807528964323 native-country=Columbia
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0.04004301454910597 1.0677025569697336 native-country=Scotland
0.2857427078053205 1.2575688960146152 native-country=Thailand
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0.8963900331101701 -0.20215963627198835 native-country=El-Salvador
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0.4694807521930927 0.28356950734740743 native-country=Peru
0.3449051254103004 0.4652676273170453 native-country=Hong
0.5392603981343158 0.5830387226086303 native-country=Holand-Netherlands
Hidden Weights:
-4.155284726422167 4.155284726422165
-4.356608968918217 4.3566089689182155
>50K <=50K
Error sum for iteration 2400 = 757.9741179256047
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-8.857995046231405 0.7551295223387696 age
0.3389226831715947 0.33692011888545054 workclass=Private
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1.047962106789734 1.2310061812682678 native-country=Nicaragua
0.039239702006102765 1.070289879799466 native-country=Scotland
0.277795908779398 1.2773532160207905 native-country=Thailand
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0.9029017716785216 -0.22244093244296387 native-country=El-Salvador
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0.4785846979139173 0.2816427796701812 native-country=Peru
0.3403591349703305 0.46501687034383415 native-country=Hong
0.5383063540416805 0.5841107307785302 native-country=Holand-Netherlands
Hidden Weights:
-4.2087686534224265 4.208768653422425
-4.355403407692083 4.355403407692082
>50K <=50K
Error sum for iteration 2500 = 756.2923871482495
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-8.978529354994603 0.7518015394500855 age
0.32508781938994596 0.34450333699095304 workclass=Private
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0.6983794364941891 -0.32053805637398025 workclass=Federal-gov
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0.036315918165219147 0.41724354039586475 workclass=Never-worked
0.5248403325565382 -0.28260476292864734 fnlwgt
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1.6116500321099727 -1.6772235583344162 education=Doctorate
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0.8707473422266895 -0.5883715921744973 race=Black
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0.3123327754230949 -5.5129490961937115 capital-gain
1.241680652603195 -2.4496396661908775 capital-loss
0.7084095837119844 -2.767541734858383 hours-per-week
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1.0426690560074572 1.2485516293975296 native-country=Nicaragua
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0.9095311747866258 -0.23964953110596682 native-country=El-Salvador
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0.4882605316431599 0.2802677068972524 native-country=Peru
0.3359360112850667 0.46472625626588415 native-country=Hong
0.5374818721877562 0.5851300070983785 native-country=Holand-Netherlands
Hidden Weights:
-4.257398929413514 4.257398929413515
-4.353928654617978 4.353928654617979
>50K <=50K
Error sum for iteration 2600 = 754.6774604398859
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.090117472011833 0.7467147076010932 age
0.3111144963209763 0.3518312032746314 workclass=Private
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1.620548631769251 -1.6821292896921978 education=Doctorate
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Hidden Weights:
-4.302103160201677 4.302103160201679
-4.352212551684167 4.352212551684167
>50K <=50K
Error sum for iteration 2700 = 753.1266688083716
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.19416574517529 0.7404086670629381 age
0.2969898781200028 0.35890503024520126 workclass=Private
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0.3019496713198225 0.6845424387868495 native-country=Outlying-US(Guam-USVI-etc)
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0.35118431419084944 2.5003726189808084 native-country=Japan
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3.298871151564118 -1.6517395536542585 native-country=South
0.4904330937895712 0.8742624237244816 native-country=China
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0.16024374010844458 -0.6173252566539134 native-country=Philippines
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0.813148184461346 -2.7856842670297848 native-country=Jamaica
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0.17567456092715608 0.704774794540367 native-country=Ecuador
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0.2997624661616299 1.736108303525537 native-country=Haiti
0.8316332635043425 2.7879304866548495 native-country=Columbia
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1.031769530046521 1.2821442113617139 native-country=Nicaragua
0.037539400003428446 1.0778177815803 native-country=Scotland
0.25466223796107723 1.3288999833151294 native-country=Thailand
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0.922931586437791 -0.26620476033221746 native-country=El-Salvador
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0.5093251027355791 0.27914096175459857 native-country=Peru
0.3274146866103646 0.46403841221757375 native-country=Hong
0.5361590159898142 0.5870208135758033 native-country=Holand-Netherlands
Hidden Weights:
-4.3436665860019845 4.343666586001985
-4.350288978421541 4.350288978421539
>50K <=50K
Error sum for iteration 2800 = 751.6371462520997
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.291815979473892 0.7332878104559131 age
0.28272616255320465 0.3657257664669242 workclass=Private
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0.4304751125832803 -0.255278461852053 fnlwgt
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0.0023342588875124286 2.937377953607131 education=1st-4th
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1.6358709269667753 -1.6905752154355465 education=Doctorate
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1.4958206203474333 0.4709512315433035 relationship=Husband
0.812649189077656 -0.6140221566122583 relationship=Not-in-family
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0.24765044977694414 -0.495186535365397 race=White
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0.907062946883477 -0.5827187260900306 race=Black
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0.3314655912915013 -5.593717721241122 capital-gain
1.3915032804170264 -2.5077939642096108 capital-loss
0.8363091653099518 -2.8001227626597656 hours-per-week
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0.8326757818560964 2.794594308557124 native-country=Columbia
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1.0261904662416415 1.2982711452878992 native-country=Nicaragua
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0.24709150720797737 1.3438217342542549 native-country=Thailand
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0.9296028993985282 -0.2762239148368494 native-country=El-Salvador
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0.5207339107535801 0.2793447597941916 native-country=Peru
0.32330312705064596 0.46364639279658054 native-country=Hong
0.5356379955441286 0.5878964410198653 native-country=Holand-Netherlands
Hidden Weights:
-4.382733738426596 4.382733738426595
-4.348191699563682 4.348191699563681
>50K <=50K
Error sum for iteration 2900 = 750.2093271880643
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.383989284742565 0.7256502649721278 age
0.26835162918192734 0.3722948787269208 workclass=Private
-1.4227493610616038 1.3516313092707335 workclass=Self-emp-not-inc
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0.6536220538609031 -0.2966672809326244 workclass=Federal-gov
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0.39792832365011804 -0.24605151241744946 fnlwgt
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0.012514468589257434 2.975177173517758 education=1st-4th
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1.6424821840763415 -1.694284672441147 education=Doctorate
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0.33543832059682055 -5.616441260055052 capital-gain
1.4333018715965062 -2.523999173334828 capital-loss
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0.9361989363330074 -0.2844805317623848 native-country=El-Salvador
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0.3192854516982088 0.46322562661255107 native-country=Hong
0.5351987962072997 0.5887281878991332 native-country=Holand-Netherlands
Hidden Weights:
-4.419826281601043 4.419826281601048
-4.345950833608594 4.345950833608595
>50K <=50K
Error sum for iteration 3000 = 748.8389956561745
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.471426876142457 0.7177123581639714 age
0.253902899739418 0.37861513298821053 workclass=Private
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0.9309673059957633 -0.5801406552207785 race=Black
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0.33842063434935876 -5.637353120513343 capital-gain
1.471315199961656 -2.5387708835784557 capital-loss
0.9110041537714594 -2.81966926328272 hours-per-week
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3.5152749335621394 -1.8442963353359572 native-country=South
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Hidden Weights:
-4.455366154957863 4.455366154957864
-4.3435912332185715 4.343591233218575
>50K <=50K
Error sum for iteration 3100 = 747.5187170982521
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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0.23941878199351196 0.38469119025937687 workclass=Private
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Hidden Weights:
-4.489699108218058 4.4896991082180575
-4.341132010433774 4.341132010433774
>50K <=50K
Error sum for iteration 3200 = 746.2442843227544
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.634366784439047 0.7015021379977563 age
0.2249359494024226 0.3905299324227882 workclass=Private
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0.34186047322111485 -5.674344517014223 capital-gain
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0.9552757088310904 -0.3011584584575317 native-country=El-Salvador
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0.30777384817742576 0.4618181924458138 native-country=Hong
0.534300689308292 0.5909823234553443 native-country=Holand-Netherlands
Hidden Weights:
-4.523116662480294 4.523116662480294
-4.338586750897917 4.338586750897917
>50K <=50K
Error sum for iteration 3300 = 745.0131058074616
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.710741836419382 0.6934035826423058 age
0.21048675851193444 0.3961404154978154 workclass=Private
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1.66259845508195 -1.7066495538850643 education=Doctorate
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0.8402289998876764 -2.2108268896888905 education-num
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1.6072623761674665 0.4708809242690415 relationship=Husband
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0.33597419929757594 -0.5227800344055961 race=White
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0.9678422448745287 -0.5785948968047877 race=Black
-0.797201082501309 -0.11527607498481252 sex
0.34251216737462226 -5.690696267904629 capital-gain
1.5643927184307387 -2.5754243360754225 capital-loss
1.0063340615932501 -2.845172748413968 hours-per-week
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0.7247088640245658 -3.520067636610744 native-country=Cambodia
0.7075062497948287 0.5083273670331113 native-country=England
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3.702598104400635 -2.0120839892234526 native-country=South
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0.851732782105753 -2.935623484925252 native-country=Jamaica
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Hidden Weights:
-4.555875780276231 4.555875780276228
-4.335964232989084 4.335964232989078
>50K <=50K
Error sum for iteration 3400 = 743.8234538921489
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.784170268725005 0.6853712374910533 age
0.1960995843754817 0.40153333287697696 workclass=Private
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0.34256015085640623 -5.705782487019147 capital-gain
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0.30054012078504616 0.46078971003173413 native-country=Hong
0.5339875413506036 0.5923089462960546 native-country=Holand-Netherlands
Hidden Weights:
-4.588215889070995 4.588215889070994
-4.33326965991691 4.333269659916909
>50K <=50K
Error sum for iteration 3500 = 742.6743354548703
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.854916073544116 0.6774219578638428 age
0.18180207101052032 0.4067198721607346 workclass=Private
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0.6176593419806042 0.2917852502155984 native-country=Peru
0.2970549095491081 0.46025843331470795 native-country=Hong
0.5338986134522077 0.5929272494092247 native-country=Holand-Netherlands
Hidden Weights:
-4.6203727544307505 4.620372754430748
-4.33050655958361 4.330506559583608
>50K <=50K
Error sum for iteration 3600 = 741.5627170909405
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.923200520997945 0.6695569105835301 age
0.1676275313208943 0.4117098892243392 workclass=Private
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0.6261551869202513 -0.27993083535204133 workclass=Federal-gov
0.4471453593138328 0.8013068755788131 workclass=Local-gov
0.9192482996021841 0.44644061422132253 workclass=State-gov
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0.0326812071817117 0.4256324341362606 workclass=Never-worked
0.16645701674857885 -0.18358196350540207 fnlwgt
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0.6602321954404139 -0.8732129375412905 education=Prof-school
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0.06484729086674033 3.196093984515373 education=1st-4th
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1.6705307628351598 -1.7136819149636298 education=Doctorate
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1.0080716782901529 -0.5802373811384902 race=Black
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0.3410927245113709 -5.732593836488628 capital-gain
1.6292979625256478 -2.6024083298622127 capital-loss
1.0830517655331509 -2.8664648279583216 hours-per-week
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0.1863265160168963 1.4288062018720988 native-country=Thailand
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0.9788891484279136 -0.31107284495785686 native-country=El-Salvador
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0.6340109390429975 0.29476119783985116 native-country=Peru
0.29365827788081017 0.45972034328486744 native-country=Hong
0.5338471612043123 0.5935189008387658 native-country=Holand-Netherlands
Hidden Weights:
-4.652588156608745 4.652588156608745
-4.327679617579132 4.3276796175791326
>50K <=50K
Error sum for iteration 3700 = 740.4856694167689
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-9.989213700328524 0.66176894056769 age
0.15362413895488583 0.41650945737918593 workclass=Private
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0.13392549107365628 -0.17511890818864 fnlwgt
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1.671799954583974 -1.7156074147766682 education=Doctorate
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0.5338277731128568 0.5940860896035927 native-country=Holand-Netherlands
Hidden Weights:
-4.6851134261000915 4.685113426100093
-4.324798714633594 4.324798714633594
>50K <=50K
Error sum for iteration 3800 = 739.4425647723762
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.053125929286677 0.6540514851276162 age
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8.418211451808088E-4 0.6701223954768852 native-country=Honduras
0.42929049632538197 -0.7359400882331214 native-country=Philippines
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0.8340747969925689 -3.0109627309301934 native-country=Jamaica
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0.14595161923006525 0.8197605413969191 native-country=Ecuador
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0.35081976929543685 1.8950091583723734 native-country=Haiti
0.8273396500302764 2.844499675261406 native-country=Columbia
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0.9675130210593179 1.4404155829570593 native-country=Nicaragua
0.03685456546148917 1.1033222465668402 native-country=Scotland
0.17076821320005517 1.4410336271229625 native-country=Thailand
-0.8133031664409764 1.1894766884203334 native-country=Yugoslavia
0.9901877322325676 -0.31278862349231945 native-country=El-Salvador
-0.12062285298328256 0.7341330369792504 native-country=Trinadad&Tobago
0.6686187385562944 0.3013913354808572 native-country=Peru
0.28713560967358165 0.4586359686024141 native-country=Hong
0.5338354399774159 0.5946305229920107 native-country=Holand-Netherlands
Hidden Weights:
-4.71820389800038 4.718203898000381
-4.321884148882921 4.32188414888292
>50K <=50K
Error sum for iteration 3900 = 738.4315604644585
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.115099447841633 0.6464087198490691 age
0.12645558773807603 0.4255271807909302 workclass=Private
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0.6212878259175203 -0.27625137900521923 workclass=Federal-gov
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0.08087699694254054 3.274694595946543 education=1st-4th
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1.6733061195627008 -1.718916572507869 education=Doctorate
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0.33558776871218465 -5.765844234112878 capital-gain
1.670642604072969 -2.6218345623792536 capital-loss
1.1438119888388323 -2.8843515867004457 hours-per-week
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0.28401252477263716 0.458094363725087 native-country=Hong
0.5338657267561205 0.5951532442670283 native-country=Holand-Netherlands
Hidden Weights:
-4.752101188266535 4.7521011882665345
-4.318972147496549 4.318972147496548
>50K <=50K
Error sum for iteration 4000 = 737.4527450129134
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.175298688723384 0.6388646669033906 age
0.11352908372449795 0.42971948913376906 workclass=Private
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0.03882903402066882 -0.15033443563787025 fnlwgt
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0.08572196344409477 3.2994324959286176 education=1st-4th
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1.6744351856348487 -1.720413132166219 education=Doctorate
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0.7719503415453675 -2.260892900559281 education-num
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Hidden Weights:
-4.787002710173625 4.787002710173627
-4.316118247940584 4.316118247940584
>50K <=50K
Error sum for iteration 4100 = 736.5093866489152
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.23389479297083 0.631467122540375 age
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1.0844424285087173 -0.5894868773803972 race=Black
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0.32995871531101584 -5.784340523691819 capital-gain
1.689365645520295 -2.6316882658524996 capital-loss
1.1765569745118931 -2.894533401973741 hours-per-week
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0.14720217767009094 1.4534582882203637 native-country=Thailand
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1.0070604733370807 -0.31286384313105925 native-country=El-Salvador
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0.7248044604482843 0.3125979942696443 native-country=Peru
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Hidden Weights:
-4.823024454547666 4.8230244545476655
-4.313394861268882 4.313394861268879
>50K <=50K
Error sum for iteration 4200 = 735.6057355778888
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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0.27520437909672363 0.4564813052193894 native-country=Hong
0.5340579620871492 0.5965915281712328 native-country=Holand-Netherlands
Hidden Weights:
-4.860171192880239 4.860171192880239
-4.310880492006265 4.310880492006264
>50K <=50K
Error sum for iteration 4300 = 734.7457700479667
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.346951085303974 0.6173846437363164 age
0.07889986849751507 0.4408112217390745 workclass=Private
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Hidden Weights:
-4.898329899206963 4.8983298992069635
-4.308642954933399 4.3086429549334
>50K <=50K
Error sum for iteration 4400 = 733.9312930568425
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.40169321935904 0.6108364276494301 age
0.0689085345325444 0.44399638964204585 workclass=Private
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1.1304222482667083 -0.5971183790233375 race=Black
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0.3190363067424212 -5.807925559774264 capital-gain
1.714486612928285 -2.643960736059628 capital-loss
1.2148322765007433 -2.906567850552392 hours-per-week
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4.281897753521401 -2.4945595708585766 native-country=South
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1.0240784208719702 -0.3113306509719729 native-country=El-Salvador
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Hidden Weights:
-4.93729168443229 4.9372916844322905
-4.306724237893906 4.3067242378939055
>50K <=50K
Error sum for iteration 4500 = 733.1643084241165
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.455368070887946 0.6046823954875891 age
0.059609997327074 0.44695056613915024 workclass=Private
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1.1446521716447633 -0.5996829505312765 race=Black
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0.26718001612995995 0.45487553998211766 native-country=Hong
0.5343431337018609 0.5978319061190202 native-country=Holand-Netherlands
Hidden Weights:
-4.976792013270356 4.976792013270356
-4.305134479747138 4.305134479747136
>50K <=50K
Error sum for iteration 4600 = 732.4472017471325
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.508016374561057 0.5989437950063559 age
0.05088944398951355 0.4497024433821794 workclass=Private
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0.10769675754439026 1.4647724161203852 native-country=Thailand
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1.035358584277993 -0.31014600672112275 native-country=El-Salvador
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0.8230080113228219 0.3312313526895243 native-country=Peru
0.2646512738821789 0.4543410657029873 native-country=Hong
0.5344447303488534 0.5982052788094883 native-country=Holand-Netherlands
Hidden Weights:
-5.016552056606137 5.016552056606137
-4.30385634730536 4.303856347305361
>50K <=50K
Error sum for iteration 4700 = 731.7777381224136
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.559647992890433 0.5936216063916167 age
0.042628186320203626 0.45228172075013645 workclass=Private
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1.1710358598955914 -0.6046905073991191 race=Black
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0.30683714345474 -5.8276151137170755 capital-gain
1.7444726871908878 -2.6555411210468876 capital-loss
1.2415627808063798 -2.9141933401924067 hours-per-week
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Hidden Weights:
-5.056309134763439 5.0563091347634375
-4.302855189393876 4.302855189393876
>50K <=50K
Error sum for iteration 4800 = 731.147228825944
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
-5.095833326564579 5.09583332656458
-4.302089336899003 4.302089336899003
>50K <=50K
Error sum for iteration 4900 = 730.554153813477
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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0.014013964294054411 0.7850889885479422 native-country=Laos
0.11178204346048223 0.9179521807278378 native-country=Ecuador
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0.38992910995142255 2.030346480653674 native-country=Haiti
0.8038895996067326 2.888918037662762 native-country=Columbia
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0.8998426404970018 1.567228104089702 native-country=Nicaragua
0.039344748720405394 1.1267208888247247 native-country=Scotland
0.08390256842979657 1.470023692413077 native-country=Thailand
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1.0518252914947919 -0.3088266078342542 native-country=El-Salvador
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0.8793739944851311 0.34046143572632526 native-country=Peru
0.25740825359656566 0.4527498077929121 native-country=Hong
0.5347270973606318 0.5992306646415 native-country=Holand-Netherlands
Hidden Weights:
-5.1349331385604815 5.1349331385604815
-4.301517424720046 4.301517424720046
>50K <=50K
Error sum for iteration 5000 = 729.9961866443481
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.708326451225158 0.5799736565255823 age
0.019669837301927662 0.45922848519724846 workclass=Private
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0.6063955535416361 -0.26346232803661856 workclass=Federal-gov
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1.0538200081160323 0.41976935125316384 workclass=State-gov
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0.1206362287485064 3.511278890525488 education=1st-4th
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1.7956278787858067 -1.7524843309510814 education=Doctorate
1.563928789962814 -1.4488439649544829 education=5th-6th
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0.6752815231053059 -2.313032043888933 education-num
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1.2055967122807376 -0.6118275888862071 race=Black
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0.296096936682556 -5.8442454533272095 capital-gain
1.7800377497291706 -2.6673483025586897 capital-loss
1.2596776835345922 -2.9182027011264857 hours-per-week
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0.8012264194900339 2.893000654879093 native-country=Columbia
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0.03956349226810611 1.1287612564465164 native-country=Scotland
0.07595129856909925 1.4717515577213396 native-country=Thailand
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1.0571431394785435 -0.30856504870809276 native-country=El-Salvador
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0.8973181855081733 0.34312841536633387 native-country=Peru
0.2550912617397008 0.4522263076678204 native-country=Hong
0.5348064154400741 0.5995466125522567 native-country=Holand-Netherlands
Hidden Weights:
-5.173454575120521 5.173454575120522
-4.301102290156978 4.301102290156977
>50K <=50K
Error sum for iteration 5100 = 729.4687412105287
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.755760210974401 0.5761069332048895 age
0.01242258068799651 0.461339332166092 workclass=Private
-1.5445790493204299 1.3908759052877848 workclass=Self-emp-not-inc
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1.0572440064147548 0.4194658874066231 workclass=State-gov
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1.8162468721458391 -1.7574483192079562 education=Doctorate
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1.062364652497761 -0.3083959725562006 native-country=El-Salvador
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Hidden Weights:
-5.21127709735291 5.211277097352911
-4.300812332163997 4.300812332163999
>50K <=50K
Error sum for iteration 5200 = 728.9687318607688
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.802110440519447 0.5725315483422638 age
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0.29077131049167365 -5.853971532678912 capital-gain
1.8053681672345614 -2.6751810709288986 capital-loss
1.2683808298543349 -2.9194913632737842 hours-per-week
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1.0836427301514007 -4.085747337790573 native-country=Cambodia
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1.0674881309704345 -0.3083150734108651 native-country=El-Salvador
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0.9318151796315357 0.34788360689647474 native-country=Peru
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Hidden Weights:
-5.248308625383078 5.248308625383075
-4.300621420592245 4.300621420592246
>50K <=50K
Error sum for iteration 5300 = 728.4940769336591
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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1.2348176680815535 -0.6184619603862174 race=Black
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Hidden Weights:
-5.284480687017846 5.2844806870178385
-4.300508170781909 4.300508170781909
>50K <=50K
Error sum for iteration 5400 = 728.0422633948202
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.891537946295722 0.5661377919802842 age
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Hidden Weights:
-5.31974416549715 5.319744165497147
-4.300455062676398 4.300455062676394
>50K <=50K
Error sum for iteration 5500 = 727.6104476404779
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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1.2516932044026148 -0.6225638830253387 race=Black
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0.28614386617111054 -5.866958307702478 capital-gain
1.8435994506900548 -2.686433090935959 capital-loss
1.277854643195002 -2.9200614558218825 hours-per-week
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1.0822902966941559 -0.3085291041252987 native-country=El-Salvador
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Hidden Weights:
-5.3540657529984585 5.3540657529984585
-4.30044763480941 4.300447634809408
>50K <=50K
Error sum for iteration 5600 = 727.197033455226
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-10.976596537251806 0.5605742373089805 age
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0.2854956159709691 -5.870933855449582 capital-gain
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0.24202346669708397 0.44920021216088046 native-country=Hong
0.5350686679775696 0.6012519094308716 native-country=Holand-Netherlands
Hidden Weights:
-5.387425057837035 5.387425057837033
-4.300473835442383 4.300473835442381
>50K <=50K
Error sum for iteration 5700 = 726.8019849799373
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.017494777550025 0.5580442028871884 age
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0.04076724318691816 1.1427659161437873 native-country=Scotland
0.020098971437713 1.4835682105039 native-country=Thailand
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1.091735315449697 -0.3089680589717347 native-country=El-Salvador
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1.0101235900704713 0.35696274418826696 native-country=Peru
0.2399740416580787 0.44871841674160245 native-country=Hong
0.5350781280944068 0.6015113248255204 native-country=Holand-Netherlands
Hidden Weights:
-5.419812257019705 5.419812257019704
-4.3005235377168525 4.3005235377168525
>50K <=50K
Error sum for iteration 5800 = 726.4229700647277
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.057313214560748 0.5556547694071529 age
-0.03472324620775956 0.4741511100002544 workclass=Private
-1.5429578871381304 1.3917822333818701 workclass=Self-emp-not-inc
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0.2854306682617435 -5.878446491839518 capital-gain
1.8802047599060014 -2.6966871864357382 capital-loss
1.28416529065574 -2.9195722162855415 hours-per-week
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Hidden Weights:
-5.451226180196475 5.451226180196475
-4.300588193611748 4.300588193611748
>50K <=50K
Error sum for iteration 5900 = 726.0575925200815
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
-5.481672726944705 5.481672726944706
-4.300660592376447 4.300660592376449
>50K <=50K
Error sum for iteration 6000 = 725.7055209894781
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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0.8317673498968534 1.6740017559126579 native-country=Nicaragua
0.04112200239358357 1.1486300519013215 native-country=Scotland
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1.1054114756489564 -0.3099124475203214 native-country=El-Salvador
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1.0522971418084266 0.360958602649156 native-country=Peru
0.23403801693275092 0.44731600021318807 native-country=Hong
0.5350599236204137 0.6022571742127025 native-country=Holand-Netherlands
Hidden Weights:
-5.51116354134831 5.5111635413483135
-4.300734690913737 4.300734690913739
>50K <=50K
Error sum for iteration 6100 = 725.3686668593093
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.1703705732156 0.5491668515831426 age
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1.062565145289906 0.4234982461470922 workclass=State-gov
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0.13204186012280117 3.683496331753908 education=1st-4th
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2.013825260035986 -1.802202159861652 education=Doctorate
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1.2921088959959395 -0.6332209459358751 race=Black
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0.28797974524345116 -5.888799950940075 capital-gain
1.9138296023113934 -2.7056916072579504 capital-loss
1.28818704124232 -2.918485416317784 hours-per-week
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1.109870473904122 -0.310277919556598 native-country=El-Salvador
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1.0656801123606854 0.36210128253777485 native-country=Peru
0.23212977130929052 0.44686324335397987 native-country=Hong
0.5350408662649881 0.6024961591698828 native-country=Holand-Netherlands
Hidden Weights:
-5.539714888646911 5.539714888646914
-4.300805489730146 4.300805489730145
>50K <=50K
Error sum for iteration 6200 = 725.0426839597067
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.205956325168687 0.5471876657804279 age
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Hidden Weights:
-5.567346695342 5.567346695342
-4.30086893520961 4.300868935209613
>50K <=50K
Error sum for iteration 6300 = 724.7266363148669
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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0.26723164499629687 0.768527199125984 native-country=Outlying-US(Guam-USVI-etc)
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4.831331288365569 -3.100158158376598 native-country=South
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0.1944138786386245 1.224767794151701 native-country=Cuba
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0.6918523041544004 -3.108288072156031 native-country=Jamaica
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0.28058775824422283 -1.7799205345753384 native-country=Portugal
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0.048992753066507355 0.8234135771801968 native-country=Laos
0.06134892170480309 1.0241819635332918 native-country=Ecuador
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0.41860551935584067 2.1746683014775177 native-country=Haiti
0.7612230388961766 2.9483282995085114 native-country=Columbia
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0.04140622483879039 1.1544144439039044 native-country=Scotland
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1.1186834279578497 -0.31105629387590367 native-country=El-Salvador
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1.091567949653269 0.364130437889714 native-country=Peru
0.22841873431393145 0.4459802504152406 native-country=Hong
0.5349877617274993 0.6029613457638756 native-country=Holand-Netherlands
Hidden Weights:
-5.594081726104555 5.594081726104556
-4.300921835472584 4.300921835472586
>50K <=50K
Error sum for iteration 6400 = 724.4203008914905
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.274046321689413 0.5434470224144692 age
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0.6165140128538013 -0.2596470081301621 workclass=Federal-gov
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0.03378918168251601 0.4353015057141494 workclass=Never-worked
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0.13176634310901653 3.722909707028476 education=1st-4th
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2.0634276667498628 -1.8122393422995242 education=Doctorate
2.06181057411724 -1.5877990289918809 education=5th-6th
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0.5952946693596607 -2.3685567211628458 education-num
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1.8897983619726133 0.5322859239073178 relationship=Husband
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1.307875108269428 -0.6377119471394316 race=Black
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0.29293894142637517 -5.898281022685266 capital-gain
1.9438251564968299 -2.713378271524893 capital-loss
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0.42003194112783504 2.184219198857551 native-country=Haiti
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1.1230506728241252 -0.3114622906461711 native-country=El-Salvador
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1.1041161452896322 0.3650211524273298 native-country=Peru
0.2266159514721022 0.44555009014694497 native-country=Hong
0.5349551357053329 0.6031879724168849 native-country=Holand-Netherlands
Hidden Weights:
-5.619944878665192 5.619944878665194
-4.300961782296938 4.300961782296938
>50K <=50K
Error sum for iteration 6500 = 724.12264057259
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.30657597825975 0.5416721822286762 age
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-1.53543165693732 1.3922249699995852 workclass=Self-emp-not-inc
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0.033753407590946645 0.43552438242078506 workclass=Never-worked
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2.078828844670831 -1.8152402526597113 education=Doctorate
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0.29498326687630955 -5.901281502181132 capital-gain
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0.5349193616137761 0.6034108491234893 native-country=Holand-Netherlands
Hidden Weights:
-5.644962582652777 5.644962582652776
-4.3009870753803 4.3009870753803
>50K <=50K
Error sum for iteration 6600 = 723.8334609553365
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.338113185538546 0.5399542899545702 age
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1.3171895772910365 -0.6404618585202364 race=Black
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0.2971768799214003 -5.904211601501351 capital-gain
1.9617207642226384 -2.7177945594339725 capital-loss
1.2915375804144196 -2.9162015497704776 hours-per-week
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1.2361545421397964 -4.3583452270471925 native-country=Cambodia
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1.861211405945917 -2.060821096352161 native-country=Canada
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1.1317356759438633 -0.31229517968261555 native-country=El-Salvador
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Hidden Weights:
-5.669162291038584 5.669162291038584
-4.3009966477315285 4.300996647731528
>50K <=50K
Error sum for iteration 6700 = 723.5528762719326
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.36867166531664 0.5382897015690389 age
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0.5348409052996647 0.603845853606273 native-country=Holand-Netherlands
Hidden Weights:
-5.692572054294914 5.692572054294914
-4.300989992453449 4.300989992453449
>50K <=50K
Error sum for iteration 6800 = 723.2801579517522
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.398265248562097 0.5366756868155707 age
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-1.5329057370862957 1.3925739684783285 workclass=Self-emp-not-inc
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0.30191556614042997 -5.909879181277793 capital-gain
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1.140386413592772 -0.31314429913665326 native-country=El-Salvador
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0.5347994266064575 0.6040581626338848 native-country=Holand-Netherlands
Hidden Weights:
-5.715220168181842 5.715220168181841
-4.300967091902906 4.3009670919029075
>50K <=50K
Error sum for iteration 6900 = 723.0178467142482
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.426907705115548 0.5351102911600161 age
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1.3297747981257166 -0.6443043658631534 race=Black
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0.30441810171657285 -5.912624575686196 capital-gain
1.9855137672557246 -2.7234408609875524 capital-loss
1.2923671082426849 -2.9148783405992256 hours-per-week
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Hidden Weights:
-5.737134886599388 5.737134886599388
-4.30092835041723 4.300928350417232
>50K <=50K
Error sum for iteration 7000 = 722.7650813173972
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.454612575074638 0.5335922188538165 age
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1.0515260009424618 0.43071360479941107 workclass=State-gov
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1.149032987731656 -0.31399991036144786 native-country=El-Salvador
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0.21653966984823442 0.4431275507731111 native-country=Hong
0.5347148080946121 0.6044726589747677 native-country=Holand-Netherlands
Hidden Weights:
-5.758344191412079 5.758344191412082
-4.300874531711588 4.300874531711588
>50K <=50K
Error sum for iteration 7100 = 722.5192679082508
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.481393004730341 0.5321207360023421 age
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1.1863824744133902 0.3688805742518753 native-country=Peru
0.21498425813593683 0.44274982266267987 native-country=Hong
0.5346727478606786 0.6046748838275171 native-country=Holand-Netherlands
Hidden Weights:
-5.778875611661487 5.7788756116614906
-4.3008067017992335 4.3008067017992335
>50K <=50K
Error sum for iteration 7200 = 722.280926987436
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.507261589261324 0.5306955918653451 age
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-1.530816156418235 1.3932257319401569 workclass=Self-emp-not-inc
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0.6302763641187875 -0.2616938435476546 workclass=Federal-gov
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1.0490355127359308 0.4322550960070889 workclass=State-gov
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0.033465594340166854 0.4369872835921169 workclass=Never-worked
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0.12573786991001187 3.8163384123021706 education=1st-4th
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2.172295505765848 -1.8323273384973253 education=Doctorate
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0.5621816507068809 -2.3947043229928013 education-num
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1.3410961145023113 -0.6479036787333575 race=Black
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0.3122500190795352 -5.920544966049687 capital-gain
2.005922251333437 -2.7280370278066886 capital-loss
1.2928055328945978 -2.9137288610445298 hours-per-week
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1.1576974227611025 -0.3148550390335554 native-country=El-Salvador
0.01809286146412574 1.0151097418677872 native-country=Trinadad&Tobago
1.197541962118831 0.3690632903408709 native-country=Peru
0.21346449984599 0.4423793522168983 native-country=Hong
0.5346315483630474 0.6048737502947743 native-country=Holand-Netherlands
Hidden Weights:
-5.798756085171306 5.798756085171305
-4.300726177993412 4.300726177993414
>50K <=50K
Error sum for iteration 7300 = 722.0526990079975
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.532230223768233 0.5293169562716664 age
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Hidden Weights:
-5.818011856179981 5.818011856179981
-4.300634484249587 4.300634484249586
>50K <=50K
Error sum for iteration 7400 = 721.8316587141754
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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0.6600729888615349 -0.7423858777577894 native-country=Philippines
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0.6904893535173877 -3.1145532767742066 native-country=Jamaica
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0.3834125116193726 -1.9325371150045818 native-country=Portugal
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0.06989721791798965 0.850321306845456 native-country=Laos
0.019596591650244265 1.0964075857554922 native-country=Ecuador
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0.4313272877193182 2.275589977619677 native-country=Haiti
0.7215108092417101 2.9958873655948355 native-country=Columbia
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0.7505666812278439 1.790728618654063 native-country=Nicaragua
0.042147270541217245 1.1749462308389964 native-country=Scotland
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1.1663951729143254 -0.31570378394611875 native-country=El-Salvador
0.024013641228034614 1.0300007124114439 native-country=Trinadad&Tobago
1.2195598534539218 0.369120135434862 native-country=Peru
0.21053243526768622 0.44165981460123116 native-country=Hong
0.5345537473921598 0.6052612653549294 native-country=Holand-Netherlands
Hidden Weights:
-5.836668403318088 5.83666840331809
-4.300533312858089 4.300533312858089
>50K <=50K
Error sum for iteration 7500 = 721.6181984097552
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.57951089526488 0.5267017122941039 age
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0.6354534417741167 -0.2626740327912934 workclass=Federal-gov
0.4214747330876602 0.8494605391822064 workclass=Local-gov
1.0455400959952075 0.4344372721212828 workclass=State-gov
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0.12163745690957498 3.847624066270394 education=1st-4th
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2.2056204103816865 -1.8380190042737146 education=Doctorate
2.4307590322713652 -1.6771428028748112 education=5th-6th
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0.5490161889736166 -2.4033809510803237 education-num
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0.3520832827344095 0.2579065507914292 occupation=Adm-clerical
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1.913233788713729 0.5541274927128514 relationship=Husband
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1.3515123454704412 -0.6513576696304018 race=Black
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0.3203003086677657 -5.9280398616116825 capital-gain
2.023334180439175 -2.7317230256247917 capital-loss
1.293161327394993 -2.912800813335805 hours-per-week
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1.302660629701047 -4.490679568086183 native-country=Cambodia
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4.980632318426216 -3.375651287125507 native-country=South
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0.07151678220401345 0.8525674930701224 native-country=Laos
0.015802213781727536 1.1025571343514011 native-country=Ecuador
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0.4321969663694002 2.2843381297516445 native-country=Haiti
0.7177042692990776 3.0001348983332314 native-country=Columbia
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0.7451007294788163 1.7984308912138314 native-country=Nicaragua
0.04220937090829488 1.1767594255132579 native-country=Scotland
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1.1707599891433553 -0.3161239360925692 native-country=El-Salvador
0.026878653654281652 1.03733453065979 native-country=Trinadad&Tobago
1.230442056129208 0.36898772301741284 native-country=Peru
0.20912041569746032 0.44131054065226516 native-country=Hong
0.5345181335325161 0.6054497983048476 native-country=Holand-Netherlands
Hidden Weights:
-5.854750392930948 5.854750392930949
-4.300424492290409 4.300424492290409
>50K <=50K
Error sum for iteration 7600 = 721.412738826451
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.601842016468888 0.5254671642434146 age
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-1.5303703405773206 1.3940689458459914 workclass=Self-emp-not-inc
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1.0444492641792804 0.4351242879626312 workclass=State-gov
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0.03331940562537011 0.43774827622455753 workclass=Never-worked
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0.12004753115072919 3.8576472336567473 education=1st-4th
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2.2159489023526904 -1.839752393599391 education=Doctorate
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0.3229894507414236 -5.930451427194934 capital-gain
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0.20774462476869526 0.44096811151507564 native-country=Hong
0.5344853596482158 0.6056347429272793 native-country=Holand-Netherlands
Hidden Weights:
-5.87228165339983 5.872281653399833
-4.300309960856277 4.3003099608562785
>50K <=50K
Error sum for iteration 7700 = 721.2142834134278
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.623311128761834 0.5242831979371253 age
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1.358093649250786 -0.6536233919809649 race=Black
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0.3256713070444041 -5.932821566652404 capital-gain
2.0334799276115407 -2.733738405325604 capital-loss
1.2934725852659201 -2.9123115933687873 hours-per-week
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4.9996755253385325 -3.415454055020284 native-country=South
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0.07464462502215055 0.8569728281494761 native-country=Laos
0.008231605869114887 1.1146661286656052 native-country=Ecuador
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1.1795264884017214 -0.3169518685355632 native-country=El-Salvador
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Hidden Weights:
-5.889285166733256 5.8892851667332575
-4.300191745716048 4.30019174571605
>50K <=50K
Error sum for iteration 7800 = 721.0229398610707
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.64392474014389 0.5231515575706637 age
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1.1839297652325285 -0.3173579370242163 native-country=El-Salvador
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1.2627067886755614 0.36791201601264156 native-country=Peru
0.2051024990638093 0.4403032837951458 native-country=Hong
0.5344302573122448 0.6059934533741805 native-country=Holand-Netherlands
Hidden Weights:
-5.9057830742679425 5.9057830742679425
-4.30007194673283 4.30007194673283
>50K <=50K
Error sum for iteration 7900 = 720.8388883432112
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
-11.663687980231987 0.5220742498025461 age
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Hidden Weights:
-5.9217966938022615 5.921796693802262
-4.299952724590716 4.299952724590716
>50K <=50K
Options: -I 8000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 8000
-E 0.01
-S 1693840825
-H 2
-M 0.01
Input Weights:
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0.7930001522547308 0.14685453638528306 marital-status=Separated
1.7623006749977617 0.21150708104192878 marital-status=Widowed
-0.5432572208157471 2.2648472572215255 marital-status=Married-spouse-absent
-0.8439561353435764 0.2996345613717523 marital-status=Married-AF-spouse
-0.42222019053680837 -0.4631612750748142 occupation=Tech-support
1.698272694440629 -0.4773232598413929 occupation=Craft-repair
-0.7929856524605771 0.9012454686118915 occupation=Other-service
0.4445649883742916 -0.2272473557805503 occupation=Sales
0.3495697222148639 -0.8134031723955475 occupation=Exec-managerial
-0.9578547001427795 -0.036875862791954914 occupation=Prof-specialty
-0.4277379990349034 0.7541464663029516 occupation=Handlers-cleaners
1.2948230028520231 0.08256937545069559 occupation=Machine-op-inspct
0.34828773518284034 0.25913815214656966 occupation=Adm-clerical
-0.5527507483574067 1.5616697271432611 occupation=Farming-fishing
0.7130092756220406 0.21576212815832826 occupation=Transport-moving
0.06721132961742057 1.4469011062032893 occupation=Priv-house-serv
-0.6499416258306189 -0.30525164453464365 occupation=Protective-serv
-0.40820607265241177 0.6539804173074985 occupation=Armed-Forces
2.3825524742961486 -0.8126539309466335 relationship=Wife
-2.0229100111236384 1.8533555045485526 relationship=Own-child
1.923044786878138 0.5627682320652909 relationship=Husband
0.790685075893909 -0.6815792590515871 relationship=Not-in-family
-0.6240456019945672 0.6730685927430922 relationship=Other-relative
-1.0907849892948127 0.13882811125826963 relationship=Unmarried
0.5960289215597754 -0.6242134993273719 race=White
0.4601247053068676 -0.9760269145793932 race=Asian-Pac-Islander
-2.1931746126793916 0.8410321593735299 race=Amer-Indian-Eskimo
-1.371332983230839 4.057678082478257 race=Other
1.3675573725926333 -0.6570160879290412 race=Black
-0.7674157596853959 -0.1359168584033859 sex
0.3336108080174022 -5.939668714129462 capital-gain
2.0467608755680415 -2.7361754694028915 capital-loss
1.294187166411378 -2.9117659980396207 hours-per-week
-0.8784127568939285 -0.04468928068706663 native-country=United-States
1.3325970410244268 -4.554200243250287 native-country=Cambodia
1.9543748785805544 0.33886226293502963 native-country=England
0.3187399145047936 0.08469634378982864 native-country=Puerto-Rico
1.9298903371091236 -2.0249378698537086 native-country=Canada
-0.1397023631327096 -0.6505971045243335 native-country=Germany
0.2768098206458201 0.8411812242224329 native-country=Outlying-US(Guam-USVI-etc)
-2.413763071926876 3.0245468030910088 native-country=India
-0.21254815623366086 3.178958754397647 native-country=Japan
-0.6244573562893493 2.0683531572522242 native-country=Greece
5.026303940663833 -3.4722508761444586 native-country=South
-1.8552412648332168 1.5924317903250422 native-country=China
0.4896363723606493 1.1656605216606952 native-country=Cuba
0.9289451383873791 -2.821999213857387 native-country=Iran
0.044820386745302004 1.1507147702105582 native-country=Honduras
0.6591396697323899 -0.7387087913128864 native-country=Philippines
-1.7908338486843314 -0.9280157867655598 native-country=Italy
-0.7845187800340255 1.4527632666306305 native-country=Poland
0.6975502037288231 -3.1188296013129753 native-country=Jamaica
-3.744941687057402 1.4036191964857743 native-country=Vietnam
-2.154867818893157 1.498604235484431 native-country=Mexico
0.4286116623246506 -1.9922788286443192 native-country=Portugal
-2.630401156497608 -1.1321849047519175 native-country=Ireland
-0.34978533095167647 -0.8569650982006075 native-country=France
-2.0727888373167906 -0.10410469258856364 native-country=Dominican-Republic
0.07908376925112323 0.8633656913450014 native-country=Laos
-0.003025831740887227 1.1323148214264886 native-country=Ecuador
-0.07820277328212386 -0.02960164717925469 native-country=Taiwan
0.4359201320016447 2.326990276632176 native-country=Haiti
0.6983287873875964 3.0210200198178025 native-country=Columbia
-0.9787050207510823 0.18069664551149991 native-country=Hungary
-0.25987664631667684 -1.7055196759792444 native-country=Guatemala
0.7185263102029174 1.8357970038213614 native-country=Nicaragua
0.042552362709234286 1.1856707000847084 native-country=Scotland
-0.16069289861542224 1.5180265191850544 native-country=Thailand
-0.8083711519157396 1.5279411826287776 native-country=Yugoslavia
1.1927355681985978 -0.3181457555428971 native-country=El-Salvador
0.04028905343156812 1.0728269615785533 native-country=Trinadad&Tobago
1.2838799944380754 0.3666138169619776 native-country=Peru
0.20261988715797935 0.4396673756182063 native-country=Hong
0.5343924113761374 0.6063347345163023 native-country=Holand-Netherlands
Hidden Weights:
-5.937193277559183 5.937193277559186
-4.299837435708244 4.299837435708244
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4287 85.4835 %
Incorrectly Classified Instances 728 14.5165 %
Mean absolute error 0.2634
Root mean squared error 0.3293
Relative absolute error 71.3245 %
Root relative squared error 76.6386 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
805 420 | a = >50K
308 3482 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 4191 83.5693 %
Incorrectly Classified Instances 824 16.4307 %
Mean absolute error 0.2707
Root mean squared error 0.3415
Relative absolute error 74.2643 %
Root relative squared error 80.5395 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
727 451 | a = >50K
373 3464 | b = <=50K
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