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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
-0.6368809370879913 -0.45551253008283066 age
0.04382546905304863 0.03766486204507791 workclass=Private
-0.06103884974606433 -0.035277980585763924 workclass=Self-emp-not-inc
0.3299238813924592 0.42134326726545335 workclass=Self-emp-inc
0.10604632303718309 -0.7906305641611171 workclass=Federal-gov
-0.32071332501733685 -0.3934176475770186 workclass=Local-gov
-0.42311456434268147 0.2064006080411971 workclass=State-gov
-0.8800030851719163 -0.138607226064819 workclass=Without-pay
-0.1869277837517389 0.8980985164906221 workclass=Never-worked
0.6266296512091922 -0.6062658341212857 fnlwgt
-0.45073908184243905 0.6615833359871517 education=Bachelors
-0.6302231432483305 0.19846832352321964 education=Some-college
-0.3829087127606008 0.02541698251884439 education=11th
-0.9909291267694627 0.26638970374075854 education=HS-grad
-0.912271161040815 0.4342430721805295 education=Prof-school
0.01914392589830083 -0.996056039940197 education=Assoc-acdm
-0.03385581509768376 -0.6649367409510396 education=Assoc-voc
0.3024019217449474 0.4513553501929104 education=9th
0.45978231805688163 -0.049413235737461036 education=7th-8th
0.33142174798667345 0.38466633064029754 education=12th
0.31239001435161184 -0.36374602710304504 education=Masters
0.052588410623987336 0.5596535426127607 education=1st-4th
-0.08725949450943893 0.27592552905059 education=10th
-0.7345850947489838 0.08749522843496482 education=Doctorate
-0.6011640221216057 -0.4365243593890735 education=5th-6th
0.3817228462773732 0.5769403833400071 education=Preschool
0.29064539604745887 0.7690331795504513 education-num
-0.2028526603435088 -0.4421665618027588 marital-status=Married-civ-spouse
0.27706437397393313 -0.5564901032170706 marital-status=Divorced
-0.275345208044266 0.6071977135801139 marital-status=Never-married
0.6028279725274523 0.936236123978077 marital-status=Separated
-0.3849303377899074 -0.7085597918180553 marital-status=Widowed
-0.5354131558357085 -0.7303702268844698 marital-status=Married-spouse-absent
0.3108845024831939 0.745127895074484 marital-status=Married-AF-spouse
0.3170323216270474 -0.7677552613800118 occupation=Tech-support
0.1535171081915423 -0.3745373295989871 occupation=Craft-repair
-0.13665295889611961 0.13642359893991451 occupation=Other-service
0.41607436152007393 -0.02193182260008597 occupation=Sales
0.5816265749925726 -0.12299930844468765 occupation=Exec-managerial
0.9077173755818277 0.8587621098554012 occupation=Prof-specialty
0.21128355202807514 0.27971517569474846 occupation=Handlers-cleaners
0.3547953851002352 -0.5188662599356004 occupation=Machine-op-inspct
0.9505697541833305 0.5175805996197793 occupation=Adm-clerical
-0.6103386187244249 0.27325034785816005 occupation=Farming-fishing
-0.07324496133061453 -0.905433501737283 occupation=Transport-moving
0.5708940038665093 0.06968850729273757 occupation=Priv-house-serv
0.491444855449757 0.7614627040239108 occupation=Protective-serv
0.9376677558265887 -0.7529062687651906 occupation=Armed-Forces
-0.7689796300065814 -0.8296348465442482 relationship=Wife
-0.9958710723112902 0.9111332621482444 relationship=Own-child
0.40100898042836564 0.24222759636084779 relationship=Husband
0.8834846125876081 -0.7927180398417215 relationship=Not-in-family
0.39685799780766273 -0.5144878266944284 relationship=Other-relative
-0.8285069060992392 0.8733914950209121 relationship=Unmarried
-0.5656486700900494 0.9510311847253281 race=White
0.3092912748620791 0.6632003851696928 race=Asian-Pac-Islander
0.8717975301709184 0.44524459150139606 race=Amer-Indian-Eskimo
0.09890254731779713 -0.8996360249375857 race=Other
-0.42710839468027695 0.07695242667529834 race=Black
-0.20702500714364702 0.9944840312860763 sex
0.8623290395018557 -0.5753603047005937 capital-gain
0.3736983645609193 -0.44498596347272423 capital-loss
-0.5869091870534382 0.5465843719522421 hours-per-week
-0.8564246098472212 0.03557321909425393 native-country=United-States
0.7408457534570569 -0.10513428865520158 native-country=Cambodia
-0.8393253079623357 -0.6413650609753438 native-country=England
0.7518879904124403 0.8380035611425884 native-country=Puerto-Rico
-0.8301956889164064 -0.19396938650649798 native-country=Canada
-0.6500351822688637 0.06425842507468849 native-country=Germany
-0.9658896886131756 0.7802432789774447 native-country=Outlying-US(Guam-USVI-etc)
-0.22348318566382663 -0.5334834912472157 native-country=India
0.00306447205105842 -0.020179566920095482 native-country=Japan
0.9292643639584115 0.2568185561850569 native-country=Greece
0.9255478552848195 -0.3070689130373103 native-country=South
0.13549584965274297 0.7993499534374702 native-country=China
-0.5875946684075262 -0.1316087950300029 native-country=Cuba
-0.02263696992247599 -0.020758657894577315 native-country=Iran
0.37182942968139754 -0.7855989351751294 native-country=Honduras
0.9742284938444656 -0.44628473910048116 native-country=Philippines
-0.09762846176375795 0.8115437617331704 native-country=Italy
-0.1123398897832224 -0.20639573953838952 native-country=Poland
0.5701644261333343 0.08679977815116224 native-country=Jamaica
0.762787135330814 -0.532555941763218 native-country=Vietnam
-0.8242860995974113 -0.07329248005172162 native-country=Mexico
0.6589449641252272 -0.2836449159736196 native-country=Portugal
-0.49323114112146693 -0.8736458071942936 native-country=Ireland
-0.5749010007022697 -0.7963425783027531 native-country=France
0.7714482376184224 -0.8386122880936857 native-country=Dominican-Republic
-0.6175253472735163 0.9052582724856526 native-country=Laos
-0.37711646674507726 -0.21379289711075677 native-country=Ecuador
0.8978897748373706 -0.4393031809155328 native-country=Taiwan
0.3547642237795705 0.5251874414033091 native-country=Haiti
0.5450097017645559 0.8744730346822347 native-country=Columbia
-0.8832580466663071 0.5262386490698507 native-country=Hungary
-0.19561714500404004 0.5058101525217897 native-country=Guatemala
0.23880129186142596 -0.7530504675242451 native-country=Nicaragua
-0.5373120305699877 0.39395112363009965 native-country=Scotland
0.05232582600621938 -0.7284489181284424 native-country=Thailand
-0.5781073855412506 0.4358523258670939 native-country=Yugoslavia
0.25932347447861903 -0.5907975624075419 native-country=El-Salvador
-0.6264916008976043 0.5828606076361578 native-country=Trinadad&Tobago
-0.044488720353997424 -0.23331581903421839 native-country=Peru
-0.44590992502591464 -0.6094745673350033 native-country=Hong
-0.8981571647304638 -0.6437634710128812 native-country=Holand-Netherlands
Hidden Weights:
0.5254739481748913 0.09552031206489442
0.2878607120005465 0.703448835723774
>50K <=50K
Error sum for iteration 100 = 767.6382885151628
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
-0.08420767861593538 -1.362255458395442 age
-0.05694702528711697 0.235068646189164 workclass=Private
-0.2060534175576684 0.9743402711176263 workclass=Self-emp-not-inc
0.5881566165161439 -0.3482910599581055 workclass=Self-emp-inc
-0.09217879325774754 -0.5897151213844393 workclass=Federal-gov
-0.5146936472980433 0.5029758146575797 workclass=Local-gov
-0.34600949380922286 0.3311978947694761 workclass=State-gov
-0.9015626711467283 -0.01858156529598182 workclass=Without-pay
-0.20854206915473342 1.016733153899446 workclass=Never-worked
0.5453288733874708 -0.28393252685925086 fnlwgt
-0.17995167193816816 -0.2864567692973717 education=Bachelors
-0.6810077368170168 0.3483168667066757 education=Some-college
-0.578218091331193 0.9448580313327922 education=11th
-0.9226184685872587 0.10660212726445017 education=HS-grad
-0.37324777830533473 -1.0512817701634962 education=Prof-school
-0.19946356840190113 -0.25845404590810883 education=Assoc-acdm
-0.2909904944069151 0.21499241997264065 education=Assoc-voc
0.033668194999633534 1.2659641405345414 education=9th
0.07391093609219573 1.0976253543342824 education=7th-8th
0.16271701348993803 0.9859254725343487 education=12th
0.48844649267683116 -0.35043706206348146 education=Masters
-0.021682772247239086 0.8636712514188303 education=1st-4th
-0.37446056947283496 1.08942463009614 education=10th
-0.29855821281156014 -1.231427451168259 education=Doctorate
-0.6590551412373488 -0.22997902912373933 education=5th-6th
0.33728455142655633 0.7493485104428191 education=Preschool
1.1573057674435754 -1.3635447843743707 education-num
0.3596810315377831 -1.2549696397555437 marital-status=Married-civ-spouse
0.0036540999415804847 0.49456063005962597 marital-status=Divorced
-0.341450552695746 0.91685113846727 marital-status=Never-married
0.5184507156410958 0.6215874594529966 marital-status=Separated
-0.62417457267976 -0.11272621275619499 marital-status=Widowed
-0.6967688595636208 0.004310572282874961 marital-status=Married-spouse-absent
0.24862934374481604 0.9608806622915437 marital-status=Married-AF-spouse
0.38826921881058923 -0.6217531102062852 occupation=Tech-support
0.018398842655331437 -0.08659123812729573 occupation=Craft-repair
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0.485957080000816 -0.0558724109999792 occupation=Sales
0.6027951455616547 -0.7282968899446063 occupation=Exec-managerial
1.3865448164806504 0.21417029645646518 occupation=Prof-specialty
0.13273331347445488 0.6586162576370805 occupation=Handlers-cleaners
0.06258623825565873 0.4642865524345175 occupation=Machine-op-inspct
0.7158919718094696 0.5767210932473704 occupation=Adm-clerical
-0.8217666375149726 0.9606066626329978 occupation=Farming-fishing
-0.3538791188081912 0.16839233725138225 occupation=Transport-moving
0.5134446907988595 0.2691391859188563 occupation=Priv-house-serv
0.740805739814964 0.17575964768728278 occupation=Protective-serv
0.9047191869852899 -0.6090173362610017 occupation=Armed-Forces
-0.4388289675084585 -1.2017656454716807 relationship=Wife
-0.9828382370934273 1.2122934213996894 relationship=Own-child
0.5668898177403597 0.18816489700490727 relationship=Husband
0.10525095083226693 0.3485453985690016 relationship=Not-in-family
0.06311195340438833 0.27783695879510395 relationship=Other-relative
-0.5281915306105861 0.7257215338759747 relationship=Unmarried
-0.3796350233187896 0.3622897336906516 race=White
0.3083773257135486 0.7923613816299429 race=Asian-Pac-Islander
0.6708662237219455 1.2514078166085867 race=Amer-Indian-Eskimo
-0.11031293389673871 -0.16772487207490228 race=Other
-0.483047014878544 0.5407087895945302 race=Black
0.5435423439451624 0.008371450807101728 sex
1.0963568031439637 -1.3463086121500092 capital-gain
0.7556766166437024 -1.630445617144006 capital-loss
0.4958081049990184 -2.233333437943655 hours-per-week
-0.7283920405275853 -0.4391871130204004 native-country=United-States
0.7595695689514939 -0.14034730358477004 native-country=Cambodia
-0.9559067527925217 -0.2117055100311459 native-country=England
0.7296182291916965 1.0217156964280574 native-country=Puerto-Rico
-0.6890047251447274 -0.4401743971998071 native-country=Canada
-0.6528390101761005 0.03563336949198871 native-country=Germany
-0.9904013657643013 0.9024360212510373 native-country=Outlying-US(Guam-USVI-etc)
-0.3188920276395586 0.11459357202884486 native-country=India
-0.019955676209986967 0.27069959991117803 native-country=Japan
0.895771624399195 0.4368895168485607 native-country=Greece
0.8843222278322049 -0.14781536333606113 native-country=South
0.07612074826480603 0.8427998603459088 native-country=China
-0.7765239833222676 0.3814773043715355 native-country=Cuba
0.06962187187012946 -0.3805235797408121 native-country=Iran
0.31674108004685286 -0.5611410413264828 native-country=Honduras
0.9501192498483685 -0.45461916019680976 native-country=Philippines
0.05453677461952314 0.45124905513361024 native-country=Italy
-0.2076420590915257 0.20367455020328815 native-country=Poland
0.6115143228241734 -0.05305103195005638 native-country=Jamaica
0.7436795222077246 -0.30963851070177195 native-country=Vietnam
-1.0320675295280832 0.7188270835385568 native-country=Mexico
0.6450834994811707 -0.16453568829535561 native-country=Portugal
-0.4774078451528928 -0.8646494147879126 native-country=Ireland
-0.5918982282615107 -0.6915403030885515 native-country=France
0.7704238719715513 -0.5994621531404687 native-country=Dominican-Republic
-0.6553570606175411 1.0596090860398282 native-country=Laos
-0.41466380457490876 -0.054762136048831206 native-country=Ecuador
0.8708384342990415 -0.46903475804172096 native-country=Taiwan
0.30255321619857845 0.7632095633906874 native-country=Haiti
0.4907644530136782 1.221755940357193 native-country=Columbia
-0.9048723320693128 0.6448732864786997 native-country=Hungary
-0.20178759721259823 0.5509288206344616 native-country=Guatemala
0.18375684230032382 -0.40383481489589806 native-country=Nicaragua
-0.5605992411679646 0.5144140717110194 native-country=Scotland
0.011425125491561501 -0.5240947007302542 native-country=Thailand
-0.609520691455458 0.5773461826664469 native-country=Yugoslavia
0.1926844568805051 -0.2533793192185843 native-country=El-Salvador
-0.6712322882282279 0.7602502654352098 native-country=Trinadad&Tobago
-0.10635874061609064 -0.06599227433370568 native-country=Peru
-0.47148311785330627 -0.48433453379623687 native-country=Hong
-0.9197714501334695 -0.5251288336040323 native-country=Holand-Netherlands
Hidden Weights:
1.3335508069727957 -1.287905601312189
-3.4974640061922586 3.525290845405157
>50K <=50K
Error sum for iteration 200 = 764.9306088404996
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
0.21977854766221672 -1.533811796751011 age
-0.06708010453472146 0.22960364554767457 workclass=Private
-0.0628104558305622 1.025520906313853 workclass=Self-emp-not-inc
0.4983920867984018 -0.20777446867931465 workclass=Self-emp-inc
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-0.21034116438676997 1.0422649725663908 workclass=Never-worked
0.5443904483715647 -0.19559211353118683 fnlwgt
-0.35006739576549034 -0.27773873098677737 education=Bachelors
-0.6436769350393616 0.3518929078357101 education=Some-college
-0.4302629598913357 1.1106573321648057 education=11th
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-0.3096889242532448 -1.1015054435958938 education=Prof-school
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0.003278615964080415 1.3537124342161944 education=9th
0.048874975557017745 1.210196691407869 education=7th-8th
0.12527236439186612 1.2419001244062244 education=12th
0.5830889154854328 -0.2394615709809305 education=Masters
-0.031070055474549028 0.9727976402708541 education=1st-4th
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-0.2532038946983152 -1.4054743158812504 education=Doctorate
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0.3229275372247902 0.7951935736605173 education=Preschool
1.1572414661090256 -1.4092243466546963 education-num
0.36676965277810425 -1.3953645735035654 marital-status=Married-civ-spouse
0.1439752863259521 0.6268399239639797 marital-status=Divorced
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0.38184166934511043 0.39750100307456404 marital-status=Separated
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0.2234318663804651 1.0300255861010315 marital-status=Married-AF-spouse
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0.397081478510944 0.0011044342451130137 occupation=Sales
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1.547373603830439 0.29865322581785053 occupation=Prof-specialty
0.1857163166418395 0.6389783562114888 occupation=Handlers-cleaners
0.1383524260687512 0.512481346743961 occupation=Machine-op-inspct
0.5518485889248183 0.5302591669403708 occupation=Adm-clerical
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0.49334941677567634 0.33425280595988366 occupation=Priv-house-serv
0.8529223900369868 0.017044406499397598 occupation=Protective-serv
0.8840621880669303 -0.5375173841885557 occupation=Armed-Forces
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0.49724892728801395 0.47912981709112656 relationship=Husband
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0.4047011885672472 0.5491278464397504 race=Asian-Pac-Islander
0.630361093291406 1.4709160063830073 race=Amer-Indian-Eskimo
-0.2216880065222909 0.5654506476934231 race=Other
-0.3572568226178187 0.38826361085862554 race=Black
0.7719355604698062 -0.07403129451307039 sex
1.2100250513712527 -1.887910236020237 capital-gain
0.7284430526611092 -1.948589618683997 capital-loss
0.7046706101376737 -2.7269795602947804 hours-per-week
-0.8237736644722427 -0.4857006954715627 native-country=United-States
0.7957457044392438 -0.25836287551334086 native-country=Cambodia
-1.018659635754839 0.04914512780630044 native-country=England
0.7422261243751408 1.0610264182560916 native-country=Puerto-Rico
-0.5701049821572828 -0.6926155120052851 native-country=Canada
-0.6417347905420884 -0.14440742677004792 native-country=Germany
-0.9945810094008176 0.9309805990738614 native-country=Outlying-US(Guam-USVI-etc)
-0.3409245818387714 0.5555295884548427 native-country=India
-0.01385413896815066 0.48445881986463507 native-country=Japan
0.8806698368947312 0.6234992833662965 native-country=Greece
0.8711842562963369 -0.08814235369023055 native-country=South
0.04789415085159132 0.7370594757003186 native-country=China
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0.12846113487720226 -0.8252399481153717 native-country=Iran
0.2784972693677306 -0.41585712897961313 native-country=Honduras
0.9333457654430144 -0.5447552678569935 native-country=Philippines
0.17576735392330886 -0.024965330223429477 native-country=Italy
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0.7050230873690863 -0.37118619398094516 native-country=Jamaica
0.7659185749104055 -0.2078021565146381 native-country=Vietnam
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0.658016858664599 -0.17451783619547773 native-country=Portugal
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0.7934256965543998 -0.5476099607773899 native-country=Dominican-Republic
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0.8607673159434245 -0.6321145469503948 native-country=Taiwan
0.27839390280904125 0.8943044192326781 native-country=Haiti
0.46688623790047684 1.501093368982888 native-country=Columbia
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0.16498808633799203 -0.05995996605132596 native-country=El-Salvador
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Hidden Weights:
1.3544197118529908 -1.3464297620969308
-3.758211038448537 3.7631984136908185
>50K <=50K
Error sum for iteration 300 = 755.2759089246649
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
0.507853918956719 -1.4839188273467188 age
0.03115297454756194 0.2659529394685535 workclass=Private
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0.4752275329823179 -0.18756309975774801 workclass=Self-emp-inc
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0.5443999167254544 -0.173812133996226 fnlwgt
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0.31541902559581486 0.8249078188749961 education=Preschool
1.1717671862024643 -1.4098496434662742 education-num
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0.9041425566859936 -0.04301955851860885 sex
1.2838673413240576 -2.328899749169873 capital-gain
0.6303377035459257 -2.035433701414431 capital-loss
0.7601596562236047 -2.784480004540095 hours-per-week
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0.45369094480151667 1.7433005198355753 native-country=Columbia
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0.15439130004652626 0.0603610389584458 native-country=El-Salvador
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Hidden Weights:
1.382463545434608 -1.3811341062168203
-3.8567095634305266 3.8573922567235317
>50K <=50K
Error sum for iteration 400 = 751.2576004051272
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
0.8094824501557883 -1.4002146109410463 age
0.1732794249706809 0.30602077067594446 workclass=Private
0.004305386687485499 1.0410187011256287 workclass=Self-emp-not-inc
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0.5408662300405717 -0.16343067723882848 fnlwgt
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0.8443153195401362 -0.2667393993213418 education=Masters
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0.30998289132825263 0.8490385398559562 education=Preschool
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0.32464290600057705 -1.757061589588303 marital-status=Married-civ-spouse
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1.3335918398232025 -2.726705049427824 capital-gain
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Hidden Weights:
1.4585304829374042 -1.458316235349107
-3.9245590341449565 3.9246426029393975
>50K <=50K
Error sum for iteration 500 = 752.1914689051414
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
1.1280075083062246 -1.3011129708700764 age
0.3384209329299429 0.350637202620149 workclass=Private
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0.6673226431355251 1.468778365100312 race=Amer-Indian-Eskimo
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1.041909688971909 0.024602335420587193 sex
1.3684600705786976 -3.1051221559436675 capital-gain
0.3988199754448455 -2.1078711239010923 capital-loss
0.7098090633815713 -2.780884555357302 hours-per-week
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0.8726651351438153 -0.6564926056006585 native-country=Cambodia
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0.7122500184122611 -0.2703770573750436 native-country=Portugal
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0.8627743406074501 -0.733052819702712 native-country=Dominican-Republic
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0.4375720390968092 2.1373996729643903 native-country=Columbia
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0.16193856936692194 0.1819061788624183 native-country=El-Salvador
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Hidden Weights:
1.5676398818654598 -1.5676080558287357
-3.9820270565636466 3.9820355471403923
>50K <=50K
Error sum for iteration 600 = 755.5764103006591
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
1.4641163173235097 -1.1871609943199017 age
0.5189715371596076 0.4022338417001419 workclass=Private
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1.0514604096900702 0.036194872426585416 sex
1.3906892753787026 -3.4592395853022184 capital-gain
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Hidden Weights:
1.6983429571407813 -1.6983386771752722
-4.042370569854167 4.042371171361469
>50K <=50K
Error sum for iteration 700 = 759.3706450217214
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
1.8137345945717522 -1.0633786563016263 age
0.6919338612641301 0.45527260335634107 workclass=Private
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0.5483651719371367 -0.1392002317618991 fnlwgt
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1.0401169171359574 0.03484281604185465 sex
1.400136753960672 -3.763787524231725 capital-gain
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Hidden Weights:
1.8436932978213 -1.8436927659873357
-4.107270385756052 4.107270397636077
>50K <=50K
Error sum for iteration 800 = 762.6677821673578
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
2.168907611154101 -0.9367287919290103 age
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0.20875611445361253 1.103650183338591 marital-status=Married-AF-spouse
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0.5888942627835025 0.5273315516424565 occupation=Transport-moving
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1.0178731514126027 0.027938119755102367 sex
1.3972384520228711 -4.007390609816662 capital-gain
0.09667963035220165 -2.1122350765940245 capital-loss
0.5284427042941511 -2.702135903360524 hours-per-week
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0.9333105753738279 -1.2504604587947903 native-country=Cambodia
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0.8730642284233311 0.0841850216147086 native-country=South
0.0684250557680956 0.45113272778039526 native-country=China
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0.18049074799929354 -1.2879682274206294 native-country=Italy
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1.106231492647807 -1.373171662064326 native-country=Jamaica
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Hidden Weights:
1.9918406043442827 -1.9918405404959532
-4.170286309341084 4.1702863048210785
>50K <=50K
Error sum for iteration 900 = 765.2810520004721
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
2.5215064103161193 -0.8142552042581754 age
0.929024152179621 0.5334139761931324 workclass=Private
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0.6845222499098533 -0.10362538793484045 workclass=Self-emp-inc
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0.5607978306142363 -0.1282933315082215 fnlwgt
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0.30562864409005974 0.9401216113777677 education=Preschool
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0.017603403783751522 0.13569154117816534 race=Black
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1.3831441997349498 -4.198297131412026 capital-gain
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Hidden Weights:
2.12899698854816 -2.1289969807705336
-4.225425592231024 4.225425591200836
>50K <=50K
Error sum for iteration 1000 = 767.0972527369003
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
2.8673171121429353 -0.7009147602946827 age
0.9885138272048883 0.554208254676903 workclass=Private
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0.3773354596701462 1.8518196056795684 education=12th
1.352978942384583 -0.17921100716845925 education=Masters
0.054543287205129395 1.4787991941310838 education=1st-4th
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0.3061062079172007 0.9559130219020279 education=Preschool
1.3991206277900283 -1.2912961336363902 education-num
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0.9558153810893596 0.008917600257241658 sex
1.3591672588138581 -4.349360673114743 capital-gain
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1.1848933601650258 -1.526446215114756 native-country=Jamaica
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0.986312998256889 -0.8611535651688307 native-country=Dominican-Republic
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0.8283377438343758 -0.7551794180515015 native-country=Taiwan
0.23066649146438953 1.417419378418561 native-country=Haiti
0.4247224649111729 2.8472981033346683 native-country=Columbia
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0.017140716814629878 -0.46388701936086235 native-country=Guatemala
0.15984899657173446 0.7232547623698834 native-country=Nicaragua
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0.003416762534485468 0.5840652744513708 native-country=Thailand
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0.3010130846618777 0.19770947566975852 native-country=El-Salvador
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Hidden Weights:
2.248260021265002 -2.2482600202675003
-4.269818343635916 4.2698183434685815
>50K <=50K
Error sum for iteration 1100 = 767.9622782878304
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
3.206763369446851 -0.5980735199766656 age
1.0180571483109937 0.5663053824167528 workclass=Private
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0.546986444375988 -0.13631897067138715 fnlwgt
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1.3949820330391054 -0.1726134751821458 education=Masters
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0.30608628978424524 0.9717433115038605 education=Preschool
1.393294907301585 -1.2960982209075333 education-num
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0.13748615494000502 0.14468998206695874 race=Black
0.9233840009556917 -3.7594099968539995E-4 sex
1.3265384061180554 -4.470991004303509 capital-gain
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0.35672321745091184 -2.6258099705296094 hours-per-week
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Hidden Weights:
2.350621020757962 -2.3506210206203892
-4.302049096882792 4.302049096857404
>50K <=50K
Error sum for iteration 1200 = 767.858525102904
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
3.542029069358351 -0.5047090990257286 age
1.0255238703719813 0.572657375387914 workclass=Private
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1.2863821312855244 -4.570927912423712 capital-gain
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Hidden Weights:
2.4401982537442723 -2.440198253723526
-4.321526118047464 4.321526118043382
>50K <=50K
Error sum for iteration 1300 = 766.9873335127235
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
3.8742908023981877 -0.41901319955086874 age
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1.0502602272017358 -0.7696786793371447 native-country=Dominican-Republic
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0.7977962703387271 -0.6562965912238465 native-country=Taiwan
0.23230797431090094 1.5134009724206836 native-country=Haiti
0.4162017344892885 3.178501525579102 native-country=Columbia
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0.08019031665359891 -0.6203583291987885 native-country=Guatemala
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0.3825335803159188 0.1802316030183688 native-country=El-Salvador
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Hidden Weights:
2.5217536860703205 -2.5217536860669054
-4.329830396418318 4.3298303964176075
>50K <=50K
Error sum for iteration 1400 = 765.6394658610579
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
4.202725545642574 -0.3392661463577818 age
1.0000081077317693 0.575380512317271 workclass=Private
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0.4510732639602747 -0.18680956678731347 fnlwgt
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0.303763033831855 1.0185363600173087 education=Preschool
1.3186719387002634 -1.360086130538291 education-num
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0.19724440882210373 0.13129255832150602 race=Black
0.8565721814853392 -0.02277184615054383 sex
1.1877491147395633 -4.728074912019308 capital-gain
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0.17372323171538795 -2.6284747678652507 hours-per-week
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0.9934208656206229 -2.691907963654471 native-country=Cambodia
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1.0691640322260083 -0.75116030357471 native-country=Dominican-Republic
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0.23217800984778514 1.5409356547019566 native-country=Haiti
0.412621866717681 3.275933065917445 native-country=Columbia
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0.4023301539521528 0.17617629501037074 native-country=El-Salvador
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Hidden Weights:
2.599651179234491 -2.599651179233885
-4.330087953824459 4.330087953824349
>50K <=50K
Error sum for iteration 1500 = 764.0331023590182
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
4.524897034170219 -0.26456547022757987 age
0.9768571566954595 0.574278773648362 workclass=Private
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0.40149522868468757 -0.2112858700019745 fnlwgt
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1.084858330723415 1.3720075932266687 education=11th
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0.6358884302280554 1.8900570789512083 education=12th
1.5012669442448925 -0.16794367903225235 education=Masters
0.11589193703334807 2.0249332267968967 education=1st-4th
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0.3025671263008058 1.0333859591504309 education=Preschool
1.281422253561093 -1.3882378996555296 education-num
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1.1313577637904215 -4.792626876098179 capital-gain
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Hidden Weights:
2.676873950934199 -2.6768739509341026
-4.325363284865026 4.325363284865017
>50K <=50K
Error sum for iteration 1600 = 762.2921343002708
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
4.837755957966177 -0.19490818694062675 age
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0.8368235552721905 -0.03432153776636362 sex
1.0716005249947878 -4.850867816779423 capital-gain
-0.3740138272362063 -2.1480482968578207 capital-loss
0.040976058369462054 -2.6534245405844468 hours-per-week
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0.9877101419018647 -2.8822625687057895 native-country=Cambodia
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0.7712774052778594 -0.12595801356636221 native-country=Puerto-Rico
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0.8179983169160644 1.6007263257868671 native-country=Greece
0.9155532679908136 0.4212732309630463 native-country=South
0.19924700520299057 0.5936366860434977 native-country=China
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1.0669984815865374 -0.8919912108944897 native-country=Philippines
0.05970287147832639 -1.4091495951907507 native-country=Italy
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1.3126237842514183 -1.7786443029570929 native-country=Jamaica
1.0499068671545295 0.4323793597391172 native-country=Vietnam
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0.8724831306560313 -0.35955554392756645 native-country=Portugal
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1.1036112272628593 -0.736948645749359 native-country=Dominican-Republic
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0.74578950725707 -0.5865728728015639 native-country=Taiwan
0.23121636827465566 1.5917579373823456 native-country=Haiti
0.4044449740181984 3.45458510901493 native-country=Columbia
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0.13463012629434282 -0.7350124668741617 native-country=Guatemala
0.16465198739322653 1.031003077983483 native-country=Nicaragua
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0.06787533812763752 0.8685592361414745 native-country=Thailand
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0.4303976469480519 0.17121622377155132 native-country=El-Salvador
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Hidden Weights:
2.7549188801604343 -2.7549188801604085
-4.317925762043797 4.317925762043791
>50K <=50K
Error sum for iteration 1700 = 760.5042141075597
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
5.138456519134257 -0.13070307456821478 age
0.9279273822426387 0.571427304790761 workclass=Private
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0.29995843263293004 1.0616816059257985 education=Preschool
1.1952830155925782 -1.4458856960245516 education-num
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0.009460378628304152 2.7553526354840416 race=Other
0.13679728990754939 0.10463209105110848 race=Black
0.832426705793242 -0.03893072761906731 sex
1.009366153284241 -4.9042605762861395 capital-gain
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0.43883567788225875 0.1707787449338631 native-country=El-Salvador
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Hidden Weights:
2.834166278957715 -2.834166278957711
-4.309233124716183 4.30923312471618
>50K <=50K
Error sum for iteration 1800 = 758.7267376251448
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
5.424652435839675 -0.07222115060216837 age
0.9071141306248589 0.5708751712402522 workclass=Private
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0.2198387540562232 -0.29608751490740653 fnlwgt
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0.15980234402551374 2.348004316194134 education=1st-4th
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0.2985843774868649 1.0751322168745905 education=Preschool
1.1476349213167671 -1.474636992935111 education-num
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0.03101855301907376 2.797149407368376 race=Other
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0.8310702791172014 -0.04268277455477355 sex
0.9453567099849677 -4.9538751166752535 capital-gain
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0.4436414315116189 0.17202672155602142 native-country=El-Salvador
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Hidden Weights:
2.914184144709082 -2.914184144709082
-4.30014469438879 4.300144694388792
>50K <=50K
Error sum for iteration 1900 = 757.0140395442768
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
5.694509050538498 -0.019306219470882898 age
0.8904372221809645 0.5713842768319615 workclass=Private
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0.8323705974760738 -0.04547639712206989 sex
0.8800900126116397 -5.000481183724962 capital-gain
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1.1472001483239176 -0.7588936523083587 native-country=Dominican-Republic
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Hidden Weights:
2.9939772378027323 -2.993977237802734
-4.291134265047348 4.291134265047348
>50K <=50K
Error sum for iteration 2000 = 755.4243744024827
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
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Hidden Weights:
3.0723517355699315 -3.0723517355699315
-4.28246458122082 4.28246458122082
>50K <=50K
Error sum for iteration 2100 = 754.021131186679
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
6.180897810880851 0.07240143957940609 age
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0.7473558017042642 -5.086705614610991 capital-gain
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Hidden Weights:
3.14832210434555 -3.14832210434555
-4.274327465214427 4.274327465214427
>50K <=50K
Error sum for iteration 2200 = 752.8320644311755
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
6.397219196049968 0.11299487167394279 age
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0.2925810039359269 1.1243640683460985 education=Preschool
0.9361446038310561 -1.587353158355492 education-num
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1.2465838354708552 1.1725954878835247 race=Amer-Indian-Eskimo
0.10671027850481232 2.9457315112245 race=Other
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0.8439021481848601 -0.04863201627485883 sex
0.6805967030923284 -5.127071193837989 capital-gain
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0.9104297150145219 -3.181683392913275 native-country=Cambodia
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1.3074350408749174 -2.0092257662606468 native-country=Jamaica
1.2303001820342412 0.478658815401626 native-country=Vietnam
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0.8810150888007766 -0.3454306763357025 native-country=Portugal
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1.1828954649420156 -0.804976322779851 native-country=Dominican-Republic
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0.42739536137108924 0.1940507610783533 native-country=El-Salvador
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Hidden Weights:
3.2213563149616298 -3.2213563149616298
-4.266926736291866 4.266926736291864
>50K <=50K
Error sum for iteration 2300 = 751.9058307605177
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
6.596830260310456 0.1513528122968936 age
0.8475211021945175 0.5810261003586926 workclass=Private
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0.12320939745193682 2.9787913427937682 race=Other
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0.35545171259450964 3.953281449373981 native-country=Columbia
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0.20309581689853817 0.9656424186127704 native-country=Thailand
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0.4143848643075831 0.2026318274913948 native-country=El-Salvador
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Hidden Weights:
3.2913983089834606 -3.291398308983463
-4.260490186238063 4.260490186238064
>50K <=50K
Error sum for iteration 2400 = 751.2548031807254
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
6.78143361710095 0.18832853643773007 age
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0.01662660079845494 1.1316670225299452 workclass=Self-emp-not-inc
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0.3438044048788024 4.0105068749993755 native-country=Columbia
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0.28776112476202065 -0.9569193287794897 native-country=Guatemala
0.15085704649787643 1.3065802684606043 native-country=Nicaragua
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0.22690133417741978 0.9737102949267995 native-country=Thailand
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0.3975554729121264 0.21163878019827956 native-country=El-Salvador
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Hidden Weights:
3.358749348509524 -3.3587493485095217
-4.2552282709502665 4.255228270950266
>50K <=50K
Error sum for iteration 2500 = 750.8689572835024
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
6.95310827797313 0.2245972009446942 age
0.8126741475108371 0.5840134025310904 workclass=Private
0.08313186417766874 1.1594416430588765 workclass=Self-emp-not-inc
1.0268550590747487 0.05781443850079624 workclass=Self-emp-inc
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0.8817893438247677 1.0294463928758537 workclass=Local-gov
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0.045048956725046226 -2.4301963568952947 marital-status=Married-civ-spouse
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0.2333688758403646 1.1118085706623746 marital-status=Married-AF-spouse
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0.1543645192914337 3.0401078056162487 race=Other
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0.8448583959507499 -0.048555948289142274 sex
0.48241812057466665 -5.2411563719528225 capital-gain
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0.3767132017974496 0.2205444649493428 native-country=El-Salvador
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Hidden Weights:
3.423891537857917 -3.423891537857916
-4.251265119813444 4.251265119813443
>50K <=50K
Error sum for iteration 2600 = 750.7310814435043
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
7.114149556958025 0.2606723440546433 age
0.7836220242418928 0.5826342548462743 workclass=Private
0.1559145174835268 1.1873379770091221 workclass=Self-emp-not-inc
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Hidden Weights:
3.4872968088579053 -3.4872968088579093
-4.248574426873681 4.248574426873684
>50K <=50K
Error sum for iteration 2700 = 750.7954914983793
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
7.267077805882829 0.297111512932285 age
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0.7364836633321339 1.5276202661894023 native-country=Greece
0.8776451363432501 0.9225140237099803 native-country=South
0.38454893679222957 0.7763440734216979 native-country=China
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1.3065232825212576 -0.7875621455571911 native-country=Philippines
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0.1721761408799442 1.0107162501667586 native-country=Poland
1.0810262401650834 -2.188380946204012 native-country=Jamaica
1.4127744005957221 0.5171454755467679 native-country=Vietnam
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1.2325919197146957 -0.8755487423627676 native-country=Dominican-Republic
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0.2989705658436313 4.156925713551302 native-country=Columbia
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0.37051711500274837 -1.0310014072659115 native-country=Guatemala
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0.3225423066545901 0.23541264797785857 native-country=El-Salvador
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Hidden Weights:
3.5492908665234215 -3.549290866523425
-4.246986471917735 4.246986471917732
>50K <=50K
Error sum for iteration 2800 = 751.0385645041137
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
7.414746125908214 0.3347843387625072 age
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Hidden Weights:
3.6101019323734826 -3.6101019323734933
-4.246335670945914 4.246335670945918
>50K <=50K
Error sum for iteration 2900 = 751.4136274151016
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
7.559857231105364 0.3744895486952184 age
0.6231008832697035 0.5561359573591454 workclass=Private
0.4147410613424912 1.2654394237980562 workclass=Self-emp-not-inc
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Hidden Weights:
3.6701395348582935 -3.6701395348582992
-4.24669945289271 4.24669945289271
>50K <=50K
Error sum for iteration 3000 = 751.7368817448364
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
7.702255433737457 0.41490301420722153 age
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0.23050925892859817 3.170035165757419 race=Other
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0.7965571581859485 -0.0553879675254587 sex
0.16847868475210545 -5.428424796059443 capital-gain
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1.2565014039516167 -0.8849434072983572 native-country=Dominican-Republic
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Hidden Weights:
3.7299233768925246 -3.729923376892525
-4.2483462061194945 4.2483462061194945
>50K <=50K
Error sum for iteration 3100 = 751.8104428158424
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
7.836122420996874 0.45225602647229446 age
0.4754561367907965 0.5218193647217159 workclass=Private
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Hidden Weights:
3.7885579351128023 -3.788557935112802
-4.250994448410357 4.2509944484103555
>50K <=50K
Error sum for iteration 3200 = 751.6988936878287
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
7.955580024526856 0.4852484754392859 age
0.4137741744421989 0.5067046089404621 workclass=Private
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0.43167366208641 1.0194104642162676 native-country=Thailand
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0.14575309522057298 0.22354278643392356 native-country=El-Salvador
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Hidden Weights:
3.8436391483155545 -3.84363914831555
-4.2539531032720115 4.2539531032720115
>50K <=50K
Error sum for iteration 3300 = 751.529737772796
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.060231900971452 0.5151743554679645 age
0.3619115265560078 0.49403488327691225 workclass=Private
0.7894213790028562 1.3235961956488629 workclass=Self-emp-not-inc
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1.1003255588168848 2.2501526083335435 education=12th
1.808474505012181 -0.136425514139852 education=Masters
0.4660395999671173 3.387109956006536 education=1st-4th
0.5393862111338406 0.8780063537092817 education=10th
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0.270695700360822 1.2254677057581693 education=Preschool
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0.23404479461616812 -2.4982773425402316 marital-status=Married-civ-spouse
1.0346470672340116 1.2390401480012112 marital-status=Divorced
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0.4322940049236768 1.4934710517587961 occupation=Farming-fishing
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1.3144198925140382 1.9961082941360042 relationship=Own-child
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1.5464253504183074 1.3165109465800064 race=Amer-Indian-Eskimo
0.27776841125464435 3.251805586858795 race=Other
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0.7516298159222173 -0.0653169421830332 sex
0.003026837179225874 -5.5437374576867855 capital-gain
-1.8760909633527592 -2.7063083528710057 capital-loss
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0.45957571584939494 -3.4877848408002725 native-country=Cambodia
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0.8018769629792781 1.205335196345319 native-country=South
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1.2730865090796755 -0.8383432568635747 native-country=Dominican-Republic
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Hidden Weights:
3.8937051477202673 -3.8937051477202695
-4.257073479691645 4.257073479691646
>50K <=50K
Error sum for iteration 3400 = 751.3988918296743
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.152802524730859 0.5433701333792129 age
0.3176615940940316 0.48326287803490703 workclass=Private
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0.6512153585994152 -0.032905219619539544 workclass=Self-emp-inc
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0.18767328863079613 4.333702886452733 native-country=Columbia
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0.47595837776603533 1.0273469667204034 native-country=Thailand
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0.08266577551320316 0.19713965141243453 native-country=El-Salvador
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Hidden Weights:
3.9386618601796637 -3.9386618601796646
-4.260586265351155 4.260586265351156
>50K <=50K
Error sum for iteration 3500 = 751.3450984899613
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.236367878944899 0.5704740291766172 age
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0.05324158784465124 0.18036102634611917 native-country=El-Salvador
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-0.47892139643389436 -0.3804417014555449 native-country=Hong
-0.9006416581613643 -0.46781016707725864 native-country=Holand-Netherlands
Hidden Weights:
3.9790855854539156 -3.9790855854539133
-4.264733940206474 4.264733940206473
>50K <=50K
Error sum for iteration 3600 = 751.3380167560948
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.313378769854618 0.5962914768346367 age
0.2467983636405071 0.4657666561016527 workclass=Private
0.9459012543388846 1.3331813107930304 workclass=Self-emp-not-inc
0.5837762272914863 -0.05272677078406362 workclass=Self-emp-inc
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0.10392224871231666 -0.34665906807589975 fnlwgt
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1.1564106718224199 2.348058692209684 education=12th
1.7870648574157075 -0.12284086198145977 education=Masters
0.5345732219346373 3.5284810769304937 education=1st-4th
0.6644094508597452 0.8604459796220286 education=10th
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0.26898375418087017 1.2492243214400556 education=Preschool
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0.3435440926757026 -2.4944052164247106 marital-status=Married-civ-spouse
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0.2606117961510546 1.0896207181600996 marital-status=Married-AF-spouse
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1.4307685695034378 2.081907138033201 relationship=Own-child
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0.31877069475881237 3.3445490492975365 race=Other
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0.6695892234464432 -0.09180858591880924 sex
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0.11685035244639826 -2.569838234050239 hours-per-week
0.03756003646254115 -0.6028380316717729 native-country=United-States
0.29982262945904914 -3.566847946722749 native-country=Cambodia
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1.2831949452535 -0.7664163606584716 native-country=Dominican-Republic
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0.5142038929507352 1.0305705276457762 native-country=Thailand
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0.024736063317854152 0.16174865764492596 native-country=El-Salvador
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Hidden Weights:
4.01576499719115 -4.01576499719115
-4.269584079259805 4.269584079259805
>50K <=50K
Error sum for iteration 3700 = 751.3124886048511
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.385454256483365 0.6200127257138541 age
0.21930354885258696 0.4587419471470074 workclass=Private
0.9749317528866209 1.3325960969486992 workclass=Self-emp-not-inc
0.5611680417955642 -0.05995889198229184 workclass=Self-emp-inc
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0.1688025677242299 -0.3096234184370367 fnlwgt
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1.6637921935178273 1.6314963102085773 education=11th
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1.17476400107815 2.3814924835014497 education=12th
1.7746457140884602 -0.11758523730111402 education=Masters
0.5568180242360296 3.5723934375429383 education=1st-4th
0.698431271342259 0.8566671659365586 education=10th
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0.2687000256501046 1.2571030720310912 education=Preschool
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0.37796474435945177 -2.4917883234839793 marital-status=Married-civ-spouse
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Hidden Weights:
4.049431942779453 -4.049431942779456
-4.274898187727372 4.274898187727367
>50K <=50K
Error sum for iteration 3800 = 751.2125871272857
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.453455782869353 0.6407958376264128 age
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1.2113342257598536 -0.5576920549247447 native-country=Philippines
0.44332632064789607 -1.3276259097687984 native-country=Italy
0.7239043789992516 1.1470787313786446 native-country=Poland
0.0034744028270285677 -2.811862064508853 native-country=Jamaica
1.9863410306078477 0.6815797340855773 native-country=Vietnam
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0.6155181019906246 -0.5877352321133325 native-country=Portugal
0.3040690671968693 -2.1596158857733836 native-country=Ireland
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1.2887066037311468 -0.7166913438199046 native-country=Dominican-Republic
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0.1443056893467633 2.0759923096265296 native-country=Haiti
0.14809930527970042 4.382789479360431 native-country=Columbia
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0.8039857903482618 -1.3078452562037455 native-country=Guatemala
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0.5473659416403335 1.0286163242138893 native-country=Thailand
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Hidden Weights:
4.080595476794066 -4.080595476794071
-4.280152484101477 4.28015248410148
>50K <=50K
Error sum for iteration 3900 = 750.9985253586522
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.517730410268486 0.6582754445274098 age
0.1783896462701205 0.4479047923965496 workclass=Private
1.0108299268843353 1.3288970927419146 workclass=Self-emp-not-inc
0.5348345791877274 -0.06994540842956407 workclass=Self-emp-inc
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0.2925149866312391 -0.2367066429259512 fnlwgt
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0.5999168656824987 3.6557538095493713 education=1st-4th
0.756809528140372 0.8504047139097556 education=10th
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0.4429231754929647 -2.4859235398032027 marital-status=Married-civ-spouse
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1.4245293530452097 0.7672883259872194 occupation=Adm-clerical
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0.35506031983469155 3.440208353372295 race=Other
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0.5821075782142886 -0.12942347637081894 sex
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0.2869744850157939 -2.5256807463135664 hours-per-week
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1.2915172838558644 -0.6931450301433736 native-country=Dominican-Republic
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0.13988002952388937 2.094821679946442 native-country=Haiti
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0.5622952954639115 1.0257971059113784 native-country=Thailand
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Hidden Weights:
4.109531340511773 -4.109531340511779
-4.284777124259804 4.284777124259805
>50K <=50K
Error sum for iteration 4000 = 750.671418677218
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.578385924247494 0.6726155388075514 age
0.16353945647224746 0.4438611512060826 workclass=Private
1.021671356424521 1.326674791053834 workclass=Self-emp-not-inc
0.5289924904535239 -0.073160446411684 workclass=Self-emp-inc
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0.3500856497797155 -0.20280867598761013 fnlwgt
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1.6650899602732299 1.6320207092290648 education=11th
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1.2956897762904582 0.7732083472078299 education=7th-8th
1.2308068456544579 2.4793714493613725 education=12th
1.7237072793241162 -0.10761423170916987 education=Masters
0.620615389617315 3.6952980146804917 education=1st-4th
0.7817041700018186 0.8476588549023504 education=10th
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0.26837921357575656 1.2807203247833785 education=Preschool
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0.4738362311955958 -2.4828363243279834 marital-status=Married-civ-spouse
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Hidden Weights:
4.13639276902323 -4.136392769023233
-4.288409603916155 4.288409603916156
>50K <=50K
Error sum for iteration 4100 = 750.2525154072497
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.635471904641092 0.6842744155316057 age
0.15145183430076173 0.4405406187459904 workclass=Private
1.0298719966406855 1.3245818042794855 workclass=Self-emp-not-inc
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0.37846037378784786 3.5021774085043766 race=Other
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0.539222649726217 -0.15092788706510174 sex
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0.153808118002631 -0.5559722922456778 native-country=United-States
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1.2975754177391188 -0.6507495962403057 native-country=Dominican-Republic
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Hidden Weights:
4.161312725586216 -4.161312725586213
-4.2909624904663195 4.290962490466315
>50K <=50K
Error sum for iteration 4200 = 749.7709289198797
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.689057244434885 0.6937810066477621 age
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Hidden Weights:
4.184440370212397 -4.184440370212405
-4.292542797613769 4.292542797613772
>50K <=50K
Error sum for iteration 4300 = 749.2535092816723
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.739250651833261 0.7016174689688255 age
0.13351685825387039 0.4355867673884045 workclass=Private
1.042276516451996 1.32122562342504 workclass=Self-emp-not-inc
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Hidden Weights:
4.205936622922091 -4.205936622922093
-4.293343818812967 4.2933438188129704
>50K <=50K
Error sum for iteration 4400 = 748.7250021390287
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.786199498620894 0.7081804324398471 age
0.12696726882352058 0.4337662536433792 workclass=Private
1.0476556883925565 1.3200109784345153 workclass=Self-emp-not-inc
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0.5880161636563314 -2.470243601380866 marital-status=Married-civ-spouse
0.9764038743656708 1.2276724207595289 marital-status=Divorced
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0.4970494855099213 -0.17394082519336004 sex
-0.40812046662065576 -5.8730796141113535 capital-gain
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0.4626158983667067 -2.486411322572691 hours-per-week
0.1895926802288153 -0.5384985887704833 native-country=United-States
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1.3080929945919597 -0.5992660273938384 native-country=Dominican-Republic
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Hidden Weights:
4.225960639854109 -4.2259606398541125
-4.293570239172698 4.293570239172701
>50K <=50K
Error sum for iteration 4500 = 748.2057206490233
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.830082603960122 0.7137805825506355 age
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1.0529114332276681 1.3190793813764272 workclass=Self-emp-not-inc
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Hidden Weights:
4.2446603083694265 -4.244660308369427
-4.293401361461677 4.293401361461678
>50K <=50K
Error sum for iteration 4600 = 747.7058473249028
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.871102337928816 0.7186561510162756 age
0.11753549686757567 0.4310911005655731 workclass=Private
1.0581967715131249 1.3183946521501209 workclass=Self-emp-not-inc
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0.08434789370263708 4.461346188945698 native-country=Columbia
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Hidden Weights:
4.262168255211382 -4.262168255211391
-4.292979250459702 4.292979250459701
>50K <=50K
Error sum for iteration 4700 = 747.2302468804573
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.909477644787621 0.7229889430338218 age
0.11432477164243512 0.43013311982521507 workclass=Private
1.0635886468847249 1.3179187050764847 workclass=Self-emp-not-inc
0.540828157826667 -0.0811986706143159 workclass=Self-emp-inc
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0.6891921678333787 1.0362224272880736 workclass=Local-gov
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0.6771036729746672 -0.025348045858291937 fnlwgt
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-0.9730138302395326 0.052236677782537426 education=Some-college
1.6690980598455882 1.6114743572332944 education=11th
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0.5611204532544223 -0.7110385265233014 education=Prof-school
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1.5510016066257348 0.7622661784455746 education=7th-8th
1.3686200909724446 2.676683606227196 education=12th
1.5592529725625244 -0.11126918166362289 education=Masters
0.748806119739907 3.9394625232048206 education=1st-4th
0.898862733454881 0.8301730194211964 education=10th
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0.2693440048490929 1.3348857614659841 education=Preschool
0.17577130708071703 -2.043061349939075 education-num
0.6621009585966257 -2.461771040584974 marital-status=Married-civ-spouse
0.9295966096930405 1.2134640975156015 marital-status=Divorced
0.826390684985698 1.146028426612918 marital-status=Never-married
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0.34637205641317576 1.0529062041417814 marital-status=Married-AF-spouse
0.26941386111458876 -0.5361981021408682 occupation=Tech-support
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1.4437801766521938 1.0369922520986186 occupation=Other-service
0.2783682104280434 -0.06994017604251755 occupation=Sales
0.04480215124345818 -0.7561030457725787 occupation=Exec-managerial
1.8550501034031281 0.21190436215935865 occupation=Prof-specialty
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1.3097500420641526 0.7227059035692353 occupation=Adm-clerical
0.718222436467324 1.5168947878665093 occupation=Farming-fishing
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0.4131802033798388 1.3533834860361909 occupation=Priv-house-serv
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0.6904722415320076 0.029203054018205627 occupation=Armed-Forces
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1.7601874430777087 2.2621735288382174 relationship=Own-child
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0.12299647646667043 0.5815653479184949 relationship=Other-relative
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1.845320724897738 1.2657420024089 race=Amer-Indian-Eskimo
0.44967702343199645 3.668661624165685 race=Other
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0.47254905527818436 -0.18854656254825533 sex
-0.4751513631440505 -5.9403018023860215 capital-gain
-1.9581921927787818 -2.710327621752272 capital-loss
0.5148957017117809 -2.477503322369667 hours-per-week
0.2208234629826152 -0.5222122040831193 native-country=United-States
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0.2679384201108596 -0.1016226105914497 native-country=Puerto-Rico
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0.2913575754426257 1.819819330264363 native-country=India
0.0234786167305551 2.4708411139056667 native-country=Japan
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0.7152928974762466 1.8301602351377881 native-country=South
0.979682776763143 1.000896343231133 native-country=China
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1.0971119833561342 1.2671794588052843 native-country=Poland
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2.5246678361421524 0.7968966021642929 native-country=Vietnam
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1.3203830084419286 -0.5587777449396839 native-country=Dominican-Republic
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0.11012720600723899 2.2219704049671263 native-country=Haiti
0.07690142608110154 4.470557376666749 native-country=Columbia
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1.0099993778847782 -1.450914749335447 native-country=Guatemala
0.04714969374061449 1.7376725989792945 native-country=Nicaragua
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0.6540301701220735 0.9896789259600546 native-country=Thailand
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-0.7840069354988869 1.1250016177545135 native-country=Trinadad&Tobago
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-0.4893197899700999 -0.3696529332623105 native-country=Hong
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Hidden Weights:
4.278601481726897 -4.278601481726905
-4.292409401642351 4.292409401642351
>50K <=50K
Error sum for iteration 4800 = 746.7851797706862
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.945438327825059 0.7269185503801608 age
0.11194632875109013 0.42937401557453503 workclass=Private
1.0691174463962574 1.3176157904702048 workclass=Self-emp-not-inc
0.5447046785610703 -0.08152671108647397 workclass=Self-emp-inc
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0.6739778650978999 1.0334303540620835 workclass=Local-gov
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0.7151047094910044 -0.00623911259857361 fnlwgt
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1.669823131541511 1.608325710816866 education=11th
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0.5788518786708717 -0.7079375643926213 education=Prof-school
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1.5819739829140527 0.7606303678810248 education=7th-8th
1.3888454628610076 2.701388348018431 education=12th
1.5327578348954662 -0.112831401812284 education=Masters
0.7650618524551694 3.9705926803332883 education=1st-4th
0.909801620954825 0.8277102274692681 education=10th
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0.2697678105960554 1.3425130081159233 education=Preschool
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0.6844028295780494 -2.459375146381303 marital-status=Married-civ-spouse
0.9141029671945711 1.208934997367481 marital-status=Divorced
0.8202635492853363 1.1424347035711795 marital-status=Never-married
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0.3552126265785221 1.0492551007904223 marital-status=Married-AF-spouse
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0.46162088109945576 3.6935154035110545 race=Other
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0.4669111572893378 -0.1921318258970612 sex
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0.301920049492673 1.83183655450039 native-country=India
0.03160623745776776 2.4870663324363087 native-country=Japan
0.5614456204279177 1.570077645224854 native-country=Greece
0.7122291991502664 1.862504535198044 native-country=South
1.0016829539112768 1.004901414691745 native-country=China
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2.5847010328152513 0.8104958568443453 native-country=Vietnam
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1.3248410371505244 -0.5470095400040289 native-country=Dominican-Republic
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0.10700193651256235 2.2356138202764613 native-country=Haiti
0.06956731667007482 4.479650543864945 native-country=Columbia
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1.027123564644398 -1.4636732827531944 native-country=Guatemala
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0.6632776348330474 0.9863822683317018 native-country=Thailand
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-0.9027026436019745 -0.4635831787560091 native-country=Holand-Netherlands
Hidden Weights:
4.294062736494486 -4.294062736494479
-4.291766321489383 4.2917663214893835
>50K <=50K
Error sum for iteration 4900 = 746.370419888651
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
8.979220522570058 0.7305536032763411 age
0.1102972673199365 0.4287818141591875 workclass=Private
1.0747860325578276 1.3174542483118636 workclass=Self-emp-not-inc
0.5486260734233541 -0.08178379699754139 workclass=Self-emp-inc
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0.6583768496323603 1.0306322662020966 workclass=Local-gov
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0.7513865245221688 0.011857418683800318 fnlwgt
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1.6706706735866084 1.6052834594892715 education=11th
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1.409139277959315 2.7253278496639726 education=12th
1.5056398769589892 -0.11447335124878981 education=Masters
0.7809013412863884 4.000965915670377 education=1st-4th
0.9197380517865357 0.8252628085261527 education=10th
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0.2702847150864441 1.3501199586813926 education=Preschool
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0.623740241997151 -2.0826975002478956 native-country=Ireland
-0.478729736614613 -1.0997196700050489 native-country=France
1.3294616810756692 -0.5359177608131694 native-country=Dominican-Republic
-0.7080308444082611 1.3776366838349403 native-country=Laos
-0.4364436625797216 0.49325830840331947 native-country=Ecuador
-0.773216971539431 -0.6396647822278134 native-country=Taiwan
0.10399201598359098 2.248870507377562 native-country=Haiti
0.06234963121454651 4.488622598967554 native-country=Columbia
-0.8878895065315527 0.7066833845981985 native-country=Hungary
1.043551153476748 -1.4759682599897492 native-country=Guatemala
0.043062911768974345 1.7613047438190816 native-country=Nicaragua
-0.5893940609858688 0.6967583605836524 native-country=Scotland
0.6722353466652992 0.9836265705577966 native-country=Thailand
-0.6190105743258049 1.1927853005677798 native-country=Yugoslavia
-0.3458704920135367 -0.10273104563172432 native-country=El-Salvador
-0.7793404916003291 1.1218531962727742 native-country=Trinadad&Tobago
-1.0472580311116022 0.399375214028308 native-country=Peru
-0.49088713678736284 -0.36799460734765194 native-country=Hong
-0.9027886245957094 -0.4633187354843777 native-country=Holand-Netherlands
Hidden Weights:
4.308642446876107 -4.308642446876111
-4.2911002042361694 4.291100204236169
>50K <=50K
Options: -I 5000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 5000
-E 0.01
-S 1646622745
-H 2
-M 0.01
Input Weights:
9.010753543912692 0.7339467098834002 age
0.10929686691416796 0.428333865763184 workclass=Private
1.080523208656547 1.317406901698601 workclass=Self-emp-not-inc
0.5525200473795825 -0.08198407529560799 workclass=Self-emp-inc
-2.24457253662131 -1.1094899144645611 workclass=Federal-gov
0.6425739609144162 1.0278422189311163 workclass=Local-gov
-0.5467935706034075 0.38836706147567046 workclass=State-gov
-0.8690345866414995 0.0474603995423974 workclass=Without-pay
-0.19162194769875077 1.0787959257367268 workclass=Never-worked
0.7857196940318035 0.028892275388488993 fnlwgt
-0.7557580619892773 -0.3056610619423995 education=Bachelors
-0.9526694226531855 0.05464646396205094 education=Some-college
1.671658004549212 1.602392162751987 education=11th
-0.1507617956129442 0.2015059583381622 education=HS-grad
0.6110607330394853 -0.702584548262991 education=Prof-school
-1.0801970021637504 -0.48750587862014383 education=Assoc-acdm
-1.1817996710673555 -0.20179747450188487 education=Assoc-voc
-0.7877873598618684 0.3504098388904238 education=9th
1.6408846876480412 0.7573225954709919 education=7th-8th
1.4292771339215722 2.748303590183903 education=12th
1.4781647808442877 -0.11615808080606212 education=Masters
0.7962002352582526 4.030333479481821 education=1st-4th
0.9286904998878265 0.8228633137142441 education=10th
-3.197991182072097 -1.9720773992525906 education=Doctorate
-3.7970071376237584 -2.391427076821116 education=5th-6th
0.2708911559648324 1.3576333184167673 education=Preschool
0.1936717312899344 -2.055086412313417 education-num
0.7252667716488777 -2.4554488431541324 marital-status=Married-civ-spouse
0.8840384526450247 1.2003421433836612 marital-status=Divorced
0.8068072050395586 1.1353270033629121 marital-status=Never-married
-1.2728182251821873 -0.17157602903551247 marital-status=Separated
-1.5657410745467044 0.05134851969708334 marital-status=Widowed
-0.22886425093783194 1.7595493134285738 marital-status=Married-spouse-absent
0.373134149098689 1.0418940799166752 marital-status=Married-AF-spouse
0.23911755438478047 -0.5500913851657792 occupation=Tech-support
-1.093376375720835 -0.4743407331812295 occupation=Craft-repair
1.4562798271924864 1.0419492129894794 occupation=Other-service
0.2653979224921018 -0.07509684325677332 occupation=Sales
0.04649640040005768 -0.75464393172719 occupation=Exec-managerial
1.8406716868138675 0.2069404970136952 occupation=Prof-specialty
-0.31501173825562734 0.31506002171200664 occupation=Handlers-cleaners
-0.3327138200469757 0.2611080775675941 occupation=Machine-op-inspct
1.2824005496525763 0.713024245790619 occupation=Adm-clerical
0.7447802553251371 1.5228444459389152 occupation=Farming-fishing
-0.5572950067210849 0.16245842259823629 occupation=Transport-moving
0.4252692273685272 1.386919869305459 occupation=Priv-house-serv
0.2677980616661908 -0.3682990232345289 occupation=Protective-serv
0.6993003580308336 0.019963417881963784 occupation=Armed-Forces
-1.2580005865476123 -0.5064574169603508 relationship=Wife
1.8180449704614932 2.2876412885096102 relationship=Own-child
-1.1836125038411336 0.7153422976710907 relationship=Husband
-1.0851629694086753 -0.7925835802770707 relationship=Not-in-family
0.13682121830853766 0.5930161932358872 relationship=Other-relative
0.5941855581742127 0.12271658771222368 relationship=Unmarried
-0.5396930214345548 -0.3376925213573664 race=White
-0.009513354626360207 -0.5317973778262634 race=Asian-Pac-Islander
1.8908987487827338 1.2510010318212708 race=Amer-Indian-Eskimo
0.485281692208639 3.7407998334707826 race=Other
-1.6007639086616 -0.5364520827772735 race=Black
0.45823211933849367 -0.19790448962901078 sex
-0.526157261481351 -5.999240237912482 capital-gain
-1.9794616897761719 -2.7158673526080577 capital-loss
0.5411527168239718 -2.473895898505619 hours-per-week
0.24752532615997996 -0.5071169759621004 native-country=United-States
-0.41015303807539266 -3.934979124751346 native-country=Cambodia
-1.2650227723735126 -0.06762687926257009 native-country=England
0.20013809054306814 -0.113507731883868 native-country=Puerto-Rico
-1.4314736509814363 -2.0495635682735105 native-country=Canada
-0.19305928173029258 -0.7975699780597874 native-country=Germany
-0.9606399475661253 1.0419842522869116 native-country=Outlying-US(Guam-USVI-etc)
0.3225514871313062 1.8535078137864476 native-country=India
0.0476331009440644 2.518400020733623 native-country=Japan
0.5515480586816529 1.573438226103433 native-country=Greece
0.7067352747259007 1.9225939280832844 native-country=South
1.0421674282995828 1.012822879832992 native-country=China
-1.8209579645189435 0.2535577826609685 native-country=Cuba
-0.43114699026353004 -2.66130366583986 native-country=Iran
-0.03072585506453304 1.0075027994254033 native-country=Honduras
0.7857142651840929 -0.6034329206354366 native-country=Philippines
0.801749431822886 -1.2278537958221267 native-country=Italy
1.1911843907752364 1.298003648671211 native-country=Poland
-0.22109082285713363 -3.1048855932170807 native-country=Jamaica
2.7039971367676574 0.8384905808924784 native-country=Vietnam
-0.5007811234012789 0.2839691283510321 native-country=Mexico
0.27588935242057533 -0.9814365312249401 native-country=Portugal
0.648244201024044 -2.074874591294316 native-country=Ireland
-0.47685957459515427 -1.1063028090389178 native-country=France
1.3341843466681993 -0.5255220587242646 native-country=Dominican-Republic
-0.7035988623497653 1.3743269737246886 native-country=Laos
-0.4329640455384771 0.5017605014737164 native-country=Ecuador
-0.7972527289757142 -0.6499466669018334 native-country=Taiwan
0.10111846137185633 2.2616395799957303 native-country=Haiti
0.055322078764905476 4.497382617967386 native-country=Columbia
-0.8879522106133254 0.7069360583155857 native-country=Hungary
1.0591861027015883 -1.4877105893735503 native-country=Guatemala
0.04128271148581198 1.7725884551129698 native-country=Nicaragua
-0.589806889796113 0.6986544426973085 native-country=Scotland
0.6808559744406701 0.981427667571297 native-country=Thailand
-0.6181365107153428 1.1978268114860302 native-country=Yugoslavia
-0.37516025190243407 -0.11924169936522841 native-country=El-Salvador
-0.7769808250930461 1.1202629437726155 native-country=Trinadad&Tobago
-1.0471358757021576 0.40056687433831695 native-country=Peru
-0.4916231656269486 -0.36719602067019763 native-country=Hong
-0.9028513286774821 -0.4630660617669822 native-country=Holand-Netherlands
Hidden Weights:
4.322286568998159 -4.322286568998155
-4.290449550913657 4.290449550913654
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4271 85.1645 %
Incorrectly Classified Instances 744 14.8355 %
Mean absolute error 0.2656
Root mean squared error 0.3308
Relative absolute error 71.9397 %
Root relative squared error 76.9895 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
817 408 | a = >50K
336 3454 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 4183 83.4098 %
Incorrectly Classified Instances 832 16.5902 %
Mean absolute error 0.2733
Root mean squared error 0.3431
Relative absolute error 74.9806 %
Root relative squared error 80.91 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
739 439 | a = >50K
393 3444 | b = <=50K
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