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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.4636210129902145 -0.8109683485499164 age
-0.20685274028641443 -0.15112445098851857 workclass=Private
0.7653363628296799 0.5371707427057677 workclass=Self-emp-not-inc
0.3518007499886835 0.07928093527641189 workclass=Self-emp-inc
-0.27746104511890923 0.20559333647021272 workclass=Federal-gov
-0.6726888594563185 -0.5877816982622 workclass=Local-gov
-0.7085181236022138 0.8688797595964168 workclass=State-gov
-0.512152590599112 0.1774957366872303 workclass=Without-pay
0.38354266656362057 -0.7377701415968483 workclass=Never-worked
0.4223406167979369 -0.7394455963264428 fnlwgt
-0.6357809508706729 0.2803188767878557 education=Bachelors
-0.03255330249949484 0.7273215058896316 education=Some-college
-0.8803000270849999 -0.9974007675278103 education=11th
0.8465710439663281 -0.4681239442599332 education=HS-grad
-0.5967764856864775 0.7883881850794923 education=Prof-school
-0.3741641244986966 -0.18571469719941303 education=Assoc-acdm
0.6596737580705894 -0.6849598902324028 education=Assoc-voc
-0.9304902639686519 -0.29810784029909865 education=9th
0.4490245870297882 -0.018327265657710257 education=7th-8th
-0.8370583566033432 0.9487580776549085 education=12th
-0.1938034624747489 0.29156808934688283 education=Masters
-0.05703111526385363 0.42903495224866095 education=1st-4th
0.037040815120069404 -0.05048583789606664 education=10th
-0.718641335452147 -0.5963580486830422 education=Doctorate
-0.573358534409931 -0.2742382930468672 education=5th-6th
0.8221195296094626 -0.21259972932625937 education=Preschool
0.7148285639521739 0.3744518665915324 education-num
-0.7367584815502413 -0.7438776343879252 marital-status=Married-civ-spouse
0.7813570664569447 0.7485968320533527 marital-status=Divorced
0.4511112120205927 -0.930799404119216 marital-status=Never-married
-0.694978262038564 0.8919777946608158 marital-status=Separated
-0.3562364622862031 -0.219114554798993 marital-status=Widowed
-0.03881263289289061 0.4454310741823997 marital-status=Married-spouse-absent
-0.41170459884245947 0.6293274274959924 marital-status=Married-AF-spouse
0.46370679539553916 0.7844373041971984 occupation=Tech-support
-0.49206257405696574 -0.8980335472006289 occupation=Craft-repair
-0.8783823612731778 -0.5210208897217743 occupation=Other-service
-0.06602118678728197 -0.026867460614356187 occupation=Sales
0.9687415180323302 -0.023699143371257447 occupation=Exec-managerial
0.7442325809926824 -0.2923401240022012 occupation=Prof-specialty
0.5544995596809446 -0.1377392175851968 occupation=Handlers-cleaners
0.4490247747569336 0.4545550933727527 occupation=Machine-op-inspct
-0.5052064681191548 0.13592091183061483 occupation=Adm-clerical
-0.6674354295398903 0.5676882579852345 occupation=Farming-fishing
-0.5706733579070342 -0.917855139838144 occupation=Transport-moving
-0.3844882591108514 -0.4447631022160954 occupation=Priv-house-serv
0.391637887430919 0.46427965626192935 occupation=Protective-serv
-0.5741266576591808 0.16409212766469272 occupation=Armed-Forces
-0.735454863985358 -0.23174861876286945 relationship=Wife
0.5910469251852977 0.7562831036235438 relationship=Own-child
-0.8204792286375155 -0.5358762885269404 relationship=Husband
-0.3963529864953179 -0.24293094468530052 relationship=Not-in-family
0.8554023766321552 -0.9663836442863172 relationship=Other-relative
-0.4537738607663262 0.4928420929954307 relationship=Unmarried
0.11016094676280552 -0.36672837505468725 race=White
0.23238865408288256 0.6542554216488037 race=Asian-Pac-Islander
0.4883493198095805 0.4826636275458398 race=Amer-Indian-Eskimo
-0.249881072699208 -0.4023069271755595 race=Other
0.21422559072339475 0.6137723744586228 race=Black
0.3621647048361163 -0.8632896419075033 sex
0.8130303361884572 0.6886683722692886 capital-gain
-0.8184489805924806 0.9935463990457194 capital-loss
-0.23411497792994473 -0.14601758003320287 hours-per-week
0.02001311311043552 0.017126421447970053 native-country=United-States
-0.27859180599012334 0.6870385582848784 native-country=Cambodia
-0.40565492688607296 0.18477664396702798 native-country=England
0.042313132676102816 0.3035194538398822 native-country=Puerto-Rico
-0.8698686083751741 0.5655578738057074 native-country=Canada
0.9995883870233182 -0.2876199082077662 native-country=Germany
0.05257227653062335 0.32782399843872856 native-country=Outlying-US(Guam-USVI-etc)
-0.35923029990193234 0.06144221605365874 native-country=India
-0.40259609916947925 0.7352227432160348 native-country=Japan
-0.6285773510541202 -0.973547018837237 native-country=Greece
-0.02274267884243164 -0.6744837225761706 native-country=South
0.43816280243564987 -0.7641034578118175 native-country=China
0.3349699884239423 -0.7443002318977476 native-country=Cuba
-0.15601356867971417 0.24076591043718532 native-country=Iran
-0.29112890062281127 0.4940773704203105 native-country=Honduras
-0.46224198277595074 0.5488571260570339 native-country=Philippines
0.19817303622559712 0.23310882910974184 native-country=Italy
0.9935413934526838 -0.9683024525092843 native-country=Poland
0.4903339329836649 0.8926061657511204 native-country=Jamaica
0.24496502736468462 0.4324868949841809 native-country=Vietnam
0.9063736673344223 -0.5933732786893446 native-country=Mexico
-0.0033906141777606535 -0.4223269685028479 native-country=Portugal
0.6131452128392421 0.3833234220745292 native-country=Ireland
-0.7511012880621761 0.5140248874675075 native-country=France
-0.9092513603261527 -0.8420425677305967 native-country=Dominican-Republic
-0.1857000145794776 -0.5829344079868046 native-country=Laos
0.24464444254249162 -0.09309937060793994 native-country=Ecuador
0.7586764468810587 -0.5259946214928946 native-country=Taiwan
-0.3996606443317736 0.7551415665603283 native-country=Haiti
-0.0209506371003223 0.732132989250182 native-country=Columbia
0.16729928469760824 -0.6892988617264102 native-country=Hungary
-0.6468191410745527 0.28800091905850356 native-country=Guatemala
-0.8697469391496462 -0.8656460004216138 native-country=Nicaragua
-0.08855626024584029 0.308439441936623 native-country=Scotland
-0.6886920506397927 -0.6412224057877829 native-country=Thailand
-0.24971963571243627 -0.17502713647632273 native-country=Yugoslavia
0.10506200479484673 -0.2168940814179945 native-country=El-Salvador
-0.3891838623523134 0.6008548527178859 native-country=Trinadad&Tobago
0.5496927430389347 -0.7190121515007253 native-country=Peru
-0.4137323394640926 0.6757032435905574 native-country=Hong
-0.4429151923917669 0.9855322292736977 native-country=Holand-Netherlands
Hidden Weights:
-0.24954761046780605 0.38460452083158136
0.6185407301455026 0.9226732664118449
>50K <=50K
Error sum for iteration 100 = 64.9467753195283
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.5325083455013122 -0.8691543255917453 age
0.4991967357123457 -0.1297427398849304 workclass=Private
0.8397087257866915 0.4946991959074741 workclass=Self-emp-not-inc
0.13236782057659566 0.0428142198024334 workclass=Self-emp-inc
-0.4292615306974439 0.1688655993349359 workclass=Federal-gov
-0.4638911610632648 -0.5703501685963015 workclass=Local-gov
-0.6738296648875326 0.8285477460174852 workclass=State-gov
-0.4655329776653365 0.16912539581458544 workclass=Without-pay
0.43016227949739727 -0.746140482469483 workclass=Never-worked
0.4787648892755373 -0.7425084007318391 fnlwgt
-0.8192942148495108 0.16277857089466752 education=Bachelors
0.25370513006808665 0.7379577962352113 education=Some-college
-0.6150589709880901 -0.9850587377176423 education=11th
1.3906207219752773 -0.4202322094619219 education=HS-grad
-0.7006721112394989 0.7434211177371258 education=Prof-school
-0.2509928507017379 -0.18933885025468727 education=Assoc-acdm
0.6063337639500619 -0.6974103356006143 education=Assoc-voc
-0.7874546758618041 -0.29315876261760165 education=9th
0.48152149912601283 -0.025188079904263076 education=7th-8th
-0.8379703095570913 0.9303469534813846 education=12th
-0.4551138607570344 0.24262824668437105 education=Masters
0.06266467942087019 0.42825841504290213 education=1st-4th
0.1767229024810848 -0.0455243934333685 education=10th
-0.8543992766359291 -0.6178966914698516 education=Doctorate
-0.4245029956219277 -0.27326131585979074 education=5th-6th
0.877233054585097 -0.22013653182052334 education=Preschool
0.44170917680463906 0.23370071844231274 education-num
-1.5933268443742135 -0.9766520658976111 marital-status=Married-civ-spouse
0.9533122318245545 0.7329092678388764 marital-status=Divorced
1.2241472043468027 -0.8396911726215288 marital-status=Never-married
-0.500328767192465 0.9066430587260491 marital-status=Separated
-0.15745367085333545 -0.20453204396837263 marital-status=Widowed
0.1186025104654047 0.45378643310152406 marital-status=Married-spouse-absent
-0.35168062934287486 0.6235229448178374 marital-status=Married-AF-spouse
0.4618772902569424 0.7646852498983886 occupation=Tech-support
-0.1132878344313623 -0.877640996279482 occupation=Craft-repair
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0.10432349158256835 -0.01762466957477579 occupation=Sales
0.15182253702341605 -0.16852832265494566 occupation=Exec-managerial
0.3430677697586364 -0.3949799001521519 occupation=Prof-specialty
0.7821324628337673 -0.1283324856931551 occupation=Handlers-cleaners
0.5302315654202299 0.444369611271279 occupation=Machine-op-inspct
-0.16017852037647937 0.1678616751299983 occupation=Adm-clerical
-0.5826253908433012 0.5561904552935815 occupation=Farming-fishing
-0.2363239165405722 -0.9064509002839002 occupation=Transport-moving
-0.3378686461770747 -0.45313344308874204 occupation=Priv-house-serv
0.4142794001942864 0.45189329268665773 occupation=Protective-serv
-0.5236893594510579 0.15665884812119893 occupation=Armed-Forces
-0.891347900586455 -0.311833466867611 relationship=Wife
0.9829044935051646 0.8087866808922685 relationship=Own-child
-1.4690832015135349 -0.6976946633228623 relationship=Husband
0.17228739144707442 -0.21079888267864963 relationship=Not-in-family
0.961335052359113 -0.9668810996045105 relationship=Other-relative
-0.06303289220550835 0.5334223597219031 relationship=Unmarried
0.277621162117715 -0.4577440464071964 race=White
0.13877846685669165 0.6180135869528782 race=Asian-Pac-Islander
0.5923033036730674 0.4792077583439698 race=Amer-Indian-Eskimo
-0.14773251171180737 -0.4014969089072425 race=Other
0.540327985882923 0.6348613000962413 race=Black
0.3129722252603653 -0.9561596532210647 sex
0.843377934751821 0.6777693630562174 capital-gain
-0.8464623798864636 0.9568291106533943 capital-loss
-0.3414654488920844 -0.22091766609020114 hours-per-week
0.31000349457896087 -0.04159424275332485 native-country=United-States
-0.26935726204181637 0.6659221381124113 native-country=Cambodia
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0.13105724366368346 0.29904243864160035 native-country=Puerto-Rico
-0.837007364292279 0.5555099171804184 native-country=Canada
1.0526993142080725 -0.29424326905886594 native-country=Germany
0.09919188946440156 0.3194536575660819 native-country=Outlying-US(Guam-USVI-etc)
-0.3226374176835613 0.04176502089198104 native-country=India
-0.35597648623570255 0.7268524023434001 native-country=Japan
-0.5819577381203443 -0.9819173597098717 native-country=Greece
0.004850202199867717 -0.6853661603607181 native-country=South
0.48478241536942657 -0.7724737986844522 native-country=China
0.40872426243659177 -0.7487406257611773 native-country=Cuba
-0.13323307678234292 0.22686629495682706 native-country=Iran
-0.26193799167654946 0.471496189238818 native-country=Honduras
-0.4007041941000263 0.5435948179565033 native-country=Philippines
0.24712561322870255 0.22520425466265304 native-country=Italy
1.0627497760281919 -0.9756843585214808 native-country=Poland
0.551859345491158 0.8880397004094982 native-country=Jamaica
0.2915846402984613 0.42411655411153426 native-country=Vietnam
1.0267549613530558 -0.5953200157417995 native-country=Mexico
0.06384441307404717 -0.42941272550434056 native-country=Portugal
0.6597648257730179 0.37495308120188253 native-country=Ireland
-0.6898540882116412 0.5083161665777937 native-country=France
-0.8575364125182559 -0.8502061822558041 native-country=Dominican-Republic
-0.12625290224671076 -0.5854185908625236 native-country=Laos
0.30614091502497226 -0.1009658298482753 native-country=Ecuador
0.7612287440566256 -0.53935771914065 native-country=Taiwan
-0.348454098160875 0.7480278447559673 native-country=Haiti
0.0412476259278066 0.7259270838473073 native-country=Columbia
0.21391889763138963 -0.6976692025990449 native-country=Hungary
-0.6001995281407769 0.2796305781858569 native-country=Guatemala
-0.8231273262158704 -0.8740163412942484 native-country=Nicaragua
-0.04193664731206173 0.30006910106397633 native-country=Scotland
-0.6652952849970831 -0.6555517761327561 native-country=Thailand
-0.20310002277865488 -0.18339747734896758 native-country=Yugoslavia
0.16155867623615672 -0.22454477825229982 native-country=El-Salvador
-0.3425642494185367 0.5924845118452512 native-country=Trinadad&Tobago
0.5963123559727105 -0.72738249237336 native-country=Peru
-0.3671127265303159 0.6673329027179228 native-country=Hong
-0.3962955794579902 0.977161888401063 native-country=Holand-Netherlands
Hidden Weights:
-1.906991689048009 1.7284344810618095
0.022681583066747633 1.0091988382796542
>50K <=50K
Error sum for iteration 200 = 65.57659633325711
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.53303737665885 -0.8998918884635759 age
0.8001530445340663 -0.1270312330482624 workclass=Private
1.006976794546644 0.45992561308178004 workclass=Self-emp-not-inc
-0.16658534317582538 0.029534967548885075 workclass=Self-emp-inc
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0.4536186637054774 -0.7497119897479848 workclass=Never-worked
0.4789654099974433 -0.7433689895649532 fnlwgt
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0.4721910460559183 0.757273269034008 education=Some-college
-0.2117838010729023 -0.9771865466777708 education=11th
1.5225460384913359 -0.4117143459676759 education=HS-grad
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0.3937360383357395 -0.7045168384130303 education=Assoc-voc
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0.505465837865861 -0.026940065909986582 education=7th-8th
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0.20007207425042134 0.4287828344607418 education=1st-4th
0.37362838652326175 -0.03969071202325764 education=10th
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0.9037482586846644 -0.22335959512050532 education=Preschool
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0.050662266036815666 -0.19050724317809825 marital-status=Widowed
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0.13844643530605605 0.2004726520767322 occupation=Adm-clerical
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0.3805664870826594 -0.8961907742478233 occupation=Transport-moving
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1.1088100738290523 0.8311557650271573 relationship=Own-child
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0.03758642815942866 -0.2306742492776941 relationship=Not-in-family
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0.6862491058039704 0.4779093046554395 race=Amer-Indian-Eskimo
0.003805553996067907 -0.39429449700258257 race=Other
0.7946042003074313 0.6500640279055561 race=Black
0.5844274344454451 -0.9897641394647331 sex
0.8467962490896358 0.6714995326652442 capital-gain
-0.9569215497060938 0.9315352366115556 capital-loss
-0.5667563625129269 -0.25934039723168484 hours-per-week
0.24671906364964338 -0.07200139566689699 native-country=United-States
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0.2584868854478243 0.2988349535438073 native-country=Puerto-Rico
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1.0795624351265183 -0.2969785579969355 native-country=Germany
0.12264827367247758 0.3158821502875807 native-country=Outlying-US(Guam-USVI-etc)
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0.5082387995775066 -0.7760453059629541 native-country=China
0.5176770174168623 -0.7471618728708566 native-country=Cuba
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0.27076363334521836 0.22178233692917335 native-country=Italy
1.1381843614856806 -0.978420154920734 native-country=Poland
0.5874857015983204 0.8867043482983065 native-country=Jamaica
0.3150410245065414 0.42054504683303306 native-country=Vietnam
1.1064885635324604 -0.5957609600655307 native-country=Mexico
0.17495540003612386 -0.4315875200082022 native-country=Portugal
0.6832212099810913 0.37138157392338134 native-country=Ireland
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0.38040674404677255 -0.10405281703541513 native-country=Ecuador
0.7412673892829984 -0.5459871035187098 native-country=Taiwan
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0.07852644669047336 0.7236968989793324 native-country=Columbia
0.23737528183946144 -0.7012407098775467 native-country=Hungary
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0.18682985250144377 -0.22788687437797242 native-country=El-Salvador
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0.6197687401807839 -0.7309539996518618 native-country=Peru
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Hidden Weights:
-2.5380191334033726 2.4172596972922205
-0.059634883707395094 0.9677984645412632
>50K <=50K
Error sum for iteration 300 = 64.35990267798451
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.5416059563810633 -0.9140294546782806 age
0.7718367414686125 -0.1150823916550636 workclass=Private
1.167781261344828 0.42581334812810223 workclass=Self-emp-not-inc
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0.20702127934956582 -0.5315917648779135 workclass=Local-gov
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0.4754674732248928 -0.7433661371178325 fnlwgt
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0.9260285411594293 -0.2224346261588695 education=Preschool
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0.24172547095040364 -0.17723084992779173 marital-status=Widowed
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0.1381275025511198 -0.3826256552755945 race=Other
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0.6078824187433316 -1.014731675753458 sex
0.8491057013111634 0.6697403015444986 capital-gain
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0.08951882076369072 -0.07320153945672994 native-country=United-States
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1.1137636814128065 -0.5944745463545276 native-country=Mexico
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0.20796216296992884 -0.2270564891455501 native-country=El-Salvador
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0.6405918749700835 -0.7302128565632039 native-country=Peru
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Hidden Weights:
-3.0465151886320707 2.9582123764784134
-0.16274972620012468 0.9766274247327479
>50K <=50K
Error sum for iteration 400 = 63.89460788195891
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.560730139626155 -0.9237421644877457 age
0.693436206793405 -0.098376172852872 workclass=Private
1.2783760442705212 0.38646291798130294 workclass=Self-emp-not-inc
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0.4908297680424072 -0.7471293044418197 workclass=Never-worked
0.44861351510705466 -0.7444194619493656 fnlwgt
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0.8331520266617686 -0.4080224057515269 education=HS-grad
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0.4239112998674521 0.434591569462009 education=1st-4th
0.8070200912469704 -0.029147395640470197 education=10th
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0.943007252389884 -0.22049404333141953 education=Preschool
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Hidden Weights:
-3.4047467678689536 3.333409074183084
-0.25942997802796464 0.9979940813023351
>50K <=50K
Error sum for iteration 500 = 64.43708723773517
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.6004546511481631 -0.9346617864311692 age
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0.3770452335675667 -0.3519707638003063 race=Other
0.8314301297410089 0.6455090257821012 race=Black
0.3718082506926329 -1.068022964536703 sex
0.8386535475032055 0.6678046217961016 capital-gain
-1.497010133117467 0.8854110820262309 capital-loss
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1.0957054961552926 -0.7269899092063807 native-country=Cuba
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1.3689051098422766 -0.973135313486991 native-country=Poland
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1.0408806604937448 -0.5931297400496721 native-country=Mexico
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0.7331384490021206 0.3753114811159619 native-country=Ireland
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0.28394341974892773 -0.5372368716378326 native-country=Laos
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0.15158237759217633 0.7299271942078056 native-country=Columbia
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0.2371221388284569 -0.22382739661807674 native-country=El-Salvador
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Hidden Weights:
-3.6642244799942723 3.6037148021601855
-0.3418398039757511 1.0159881823049062
>50K <=50K
Error sum for iteration 600 = 65.22807162278129
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.6671853452317928 -0.9485873985050666 age
0.5904300080269084 -0.07049568266490236 workclass=Private
1.353573589119165 0.28966168071949716 workclass=Self-emp-not-inc
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0.26502885105151874 0.8414884149653005 workclass=State-gov
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0.30858509459752625 -0.7518269852303596 fnlwgt
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0.821636623768452 0.6653586640452323 capital-gain
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Hidden Weights:
-3.902944133758934 3.8508391245097338
-0.4078560121338132 1.023263487516938
>50K <=50K
Error sum for iteration 700 = 65.72632996947632
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.7519600260233045 -0.9647900950894449 age
0.5720392304536702 -0.061909426590276685 workclass=Private
1.353489899289507 0.23742574514731213 workclass=Self-emp-not-inc
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1.1126621539889943 -0.02493640939393264 education=10th
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0.7976773022112434 0.6618494089571727 capital-gain
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0.25464349204280606 -0.22450196794663654 native-country=El-Salvador
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Hidden Weights:
-4.149102505936294 4.103123073916446
-0.4514869869030015 1.0149963404340392
>50K <=50K
Error sum for iteration 800 = 65.84134558289375
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.8256661877065511 -0.9798949365700342 age
0.560389857924265 -0.053737427344528146 workclass=Private
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0.3549413896351173 0.6438758617127298 marital-status=Divorced
0.8997592712760467 -0.8306295591572549 marital-status=Never-married
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1.0472371729546446 -0.14129012995902526 marital-status=Widowed
0.4863573186490249 0.47997786661146286 marital-status=Married-spouse-absent
-0.2222581321492482 0.628022579423369 marital-status=Married-AF-spouse
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0.14407662459566842 -0.9087438915180714 occupation=Craft-repair
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1.649892755717884 -0.11115981098201266 occupation=Handlers-cleaners
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0.3266448275302083 0.33587846934020127 occupation=Adm-clerical
0.44447087913666417 0.5419300759876325 occupation=Farming-fishing
1.8553357860079238 -0.8758828418982333 occupation=Transport-moving
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1.4648272493159582 0.8434704763180966 relationship=Own-child
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0.5197508974266044 -0.9382925340631778 relationship=Other-relative
0.710512455024944 0.6114092640395895 relationship=Unmarried
0.34272308582283306 -0.7615527997996034 race=White
-0.10575107934805639 0.8391498142064513 race=Asian-Pac-Islander
0.9932314647043525 0.4832203083714603 race=Amer-Indian-Eskimo
0.887333369890974 -0.30802148969406895 race=Other
0.5348161615640731 0.5986767352124108 race=Black
0.08244520803256941 -1.1421198546807596 sex
0.770686033039134 0.6581927381602638 capital-gain
-2.079463932828175 0.8438035153274595 capital-loss
-0.9026358496313466 -0.2650373817483423 hours-per-week
0.2845879224888438 -0.09304702664189629 native-country=United-States
-1.235592039626724 0.5863703969496024 native-country=Cambodia
0.08711657177298573 0.2246567578791621 native-country=England
0.9169330519010899 0.3077267458013075 native-country=Puerto-Rico
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1.160007458639911 -0.2939087027606099 native-country=Germany
0.1954268583732858 0.3178098789674571 native-country=Outlying-US(Guam-USVI-etc)
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0.5810173842783257 -0.7741175772830832 native-country=China
1.4760507078765996 -0.7195888130559588 native-country=Cuba
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0.3435037094645197 0.22374814807340407 native-country=Italy
1.5215859136371537 -0.9743010855604404 native-country=Poland
0.6627530076205029 0.8881438680303678 native-country=Jamaica
0.38781960920734504 0.42247277551290946 native-country=Vietnam
0.7766201635773379 -0.5993315916338374 native-country=Mexico
0.8682887330701116 -0.42640838484256716 native-country=Portugal
0.7559997946819104 0.37330930260325773 native-country=Ireland
-0.5673106637134196 0.511886958439309 native-country=France
-0.7586136073920009 -0.8516664593854206 native-country=Dominican-Republic
0.5566657412585156 -0.5054325340490174 native-country=Laos
0.6806621734359736 -0.1009732809995181 native-country=Ecuador
0.5587955300122932 -0.5553036701513979 native-country=Taiwan
-0.25241226626608326 0.7456925953494888 native-country=Haiti
0.19691932441071447 0.7301890496301188 native-country=Columbia
0.3101538665402679 -0.6993129811976758 native-country=Hungary
-0.5039645592318844 0.2779867995872321 native-country=Guatemala
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0.054298321596830484 0.29842532246535153 native-country=Scotland
-0.6111393604913465 -0.666871193348801 native-country=Thailand
-0.10686505386977269 -0.1850412559475743 native-country=Yugoslavia
0.2598905982252482 -0.2258677763956802 native-country=El-Salvador
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0.692547324881603 -0.7290262709719909 native-country=Peru
-0.2708777576214322 0.6656891241192918 native-country=Hong
-0.3000606105491065 0.975518109802432 native-country=Holand-Netherlands
Hidden Weights:
-4.382558977460287 4.340851748157401
-0.47900559156090305 0.9999173621390595
>50K <=50K
Error sum for iteration 900 = 65.7499729312436
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.8716021024412527 -0.9922094396578853 age
0.5507652433367308 -0.04352282994104242 workclass=Private
1.3315258402093066 0.13964038677488758 workclass=Self-emp-not-inc
-0.4867659864300561 0.1946243554408728 workclass=Self-emp-inc
-0.8415602682523238 0.14881716536405104 workclass=Federal-gov
0.2940667860964252 -0.48305114071180527 workclass=Local-gov
0.4634237619849412 0.8389582226571922 workclass=State-gov
-0.3650212311283653 0.16631341774338335 workclass=Without-pay
0.53067402603437 -0.7489524605407109 workclass=Never-worked
0.09023603465679618 -0.7636548682871839 fnlwgt
-0.0353072633838135 -0.03823767089623422 education=Bachelors
0.2690721496406964 0.773458975234089 education=Some-college
1.6150927202176606 -0.964706579786432 education=11th
0.5868230227236917 -0.3937528233816002 education=HS-grad
-2.242716892086235 0.6483461753392501 education=Prof-school
0.2146527608583363 -0.13695452148142231 education=Assoc-acdm
-0.4100687572559854 -0.6759837632793044 education=Assoc-voc
0.8936307945568065 -0.23642579443453896 education=9th
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-1.8614601676607903 0.8494368389598166 education=12th
0.48011804556501847 0.3374065496296901 education=Masters
0.7466283228102522 0.43630641684442717 education=1st-4th
1.233435707391347 -0.027098244943101552 education=10th
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0.20219275248613613 -0.255694229215953 education=5th-6th
0.9844421020543866 -0.22208515035456486 education=Preschool
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-1.2893682378193743 -1.0335224009349386 marital-status=Married-civ-spouse
0.31880548333228265 0.6287458948963466 marital-status=Divorced
0.8605571273308299 -0.8395259150495948 marital-status=Never-married
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1.1544663247982518 -0.13978764307020877 marital-status=Widowed
0.5174476214006865 0.4792829221950802 marital-status=Married-spouse-absent
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0.14483762265197628 -0.913919760419481 occupation=Craft-repair
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1.68057750691372 -0.11286247698100639 occupation=Handlers-cleaners
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0.3089253007012265 0.35514458453572423 occupation=Adm-clerical
0.46377484374475497 0.5341489296236209 occupation=Farming-fishing
1.9026522344400132 -0.8768744039079391 occupation=Transport-moving
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1.5020328521372328 0.8368127108261861 relationship=Own-child
-0.5542325492036907 -0.869200087200913 relationship=Husband
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0.4655023025947602 -0.9351781148628087 relationship=Other-relative
0.7253830828659319 0.5975887819480352 relationship=Unmarried
0.2945303830440022 -0.802733422135818 race=White
-0.10624195299404963 0.8708056941022994 race=Asian-Pac-Islander
1.0249328737281125 0.4820450932875226 race=Amer-Indian-Eskimo
1.0476107335616904 -0.29786076723727506 race=Other
0.447119074459528 0.5840293771361829 race=Black
0.08974583888520771 -1.1576752381111088 sex
0.7425970071803647 0.6549425114438785 capital-gain
-2.235367250501051 0.834282818928219 capital-loss
-0.8678508115881611 -0.2650811112335724 hours-per-week
0.35269914557808935 -0.10987810473431607 native-country=United-States
-1.4123961170245138 0.5762035101823695 native-country=Cambodia
0.12737366060221117 0.22853195960562894 native-country=England
1.0238768057397252 0.3072215089608467 native-country=Puerto-Rico
-1.5431220421943976 0.5408941144291272 native-country=Canada
1.1647966757345802 -0.29508326300603327 native-country=Germany
0.19970363600137198 0.3166416794948628 native-country=Outlying-US(Guam-USVI-etc)
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0.5852941619064099 -0.7752857767556801 native-country=China
1.5794062004640657 -0.7186632259447817 native-country=Cuba
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0.003756793349976705 0.5723673667533503 native-country=Philippines
0.34770992285329244 0.22255221375688697 native-country=Italy
1.5690572838136039 -0.975256771311246 native-country=Poland
0.6666769598675417 0.8865508230681964 native-country=Jamaica
0.3920963868354325 0.4213045760403152 native-country=Vietnam
0.645998927013741 -0.6016379424085363 native-country=Mexico
0.9466747145284182 -0.4273307600160923 native-country=Portugal
0.7602765723099946 0.37214110313066345 native-country=Ireland
-0.5609063644423921 0.5112935013978688 native-country=France
-0.7539099065074403 -0.8528229326639303 native-country=Dominican-Republic
0.6304914122052047 -0.4971996400329844 native-country=Laos
0.7458952384291488 -0.1019373850363556 native-country=Ecuador
0.48058828155943295 -0.558644875085249 native-country=Taiwan
-0.2483574465202507 0.7442527259116954 native-country=Haiti
0.210646086567867 0.7298025502943905 native-country=Columbia
0.31443064416835537 -0.7004811806702728 native-country=Hungary
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-0.7226155796788937 -0.8768283193654763 native-country=Nicaragua
0.0585750992249149 0.29725712299275725 native-country=Scotland
-0.6086617864594744 -0.6682726739248969 native-country=Thailand
-0.10258827624168775 -0.18620945542016967 native-country=Yugoslavia
0.26410528711797326 -0.2270604169970808 native-country=El-Salvador
-0.24205250288157115 0.5896725337740233 native-country=Trinadad&Tobago
0.6968241025096872 -0.7301944704445879 native-country=Peru
-0.2666009799933447 0.6645209246466949 native-country=Hong
-0.295783832921019 0.9743499103298351 native-country=Holand-Netherlands
Hidden Weights:
-4.583970784538483 4.545606821186014
-0.5003574779500812 0.9861601774051143
>50K <=50K
Options: -I 1000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1626554203
-H 2
-M 0.01
Input Weights:
-0.8933509077216203 -1.0016691131117654 age
0.5449101105199197 -0.030703151690251913 workclass=Private
1.3254299047506142 0.0960570388633605 workclass=Self-emp-not-inc
-0.4633604567490874 0.21035050650979295 workclass=Self-emp-inc
-0.8395013811574179 0.14750492531856077 workclass=Federal-gov
0.30632551716386514 -0.47715905506525635 workclass=Local-gov
0.49130266575062925 0.8384302365353871 workclass=State-gov
-0.3611890180331195 0.16552872780677189 workclass=Without-pay
0.5345062391296278 -0.7497371504773152 workclass=Never-worked
0.04177419420669585 -0.7656558697866941 fnlwgt
0.006560186089621678 -0.05544546656451855 education=Bachelors
0.28240858566842336 0.7712331600522768 education=Some-college
1.7276659588040384 -0.9657718433426064 education=11th
0.5896497992600672 -0.38951507622727904 education=HS-grad
-2.3710444943168 0.6453723078864426 education=Prof-school
0.2505812945076519 -0.1336753551341852 education=Assoc-acdm
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0.993385655835951 -0.2350712146174101 education=9th
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-2.0352203963319107 0.8418682863209856 education=12th
0.5484363166270863 0.33807977229467745 education=Masters
0.8002453273075821 0.4359021784228866 education=1st-4th
1.2808828015581175 -0.027965549701863945 education=10th
-1.9666356402691332 -0.6507083643304082 education=Doctorate
0.29244439505941333 -0.2547934904195581 education=5th-6th
0.9884585625577937 -0.22285171440089596 education=Preschool
-1.2793430285866814 0.10882080455749257 education-num
-1.3269456585149848 -1.0231832043169686 marital-status=Married-civ-spouse
0.2875898033550229 0.6155613281026703 marital-status=Divorced
0.8374387055270349 -0.8481153411260707 marital-status=Never-married
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1.246566054490046 -0.1385939124182083 marital-status=Widowed
0.5467958405569155 0.4786310353993731 marital-status=Married-spouse-absent
-0.21061125911466747 0.6268312894198605 marital-status=Married-AF-spouse
0.012175555053465577 0.7562126052266583 occupation=Tech-support
0.1461840786888845 -0.9176011214252636 occupation=Craft-repair
0.25975226861108824 -0.41861781567844836 occupation=Other-service
0.3229588478652992 0.11904990801038695 occupation=Sales
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1.7058995095815257 -0.11435034602501053 occupation=Handlers-cleaners
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0.3003874174046547 0.37545587655734197 occupation=Adm-clerical
0.47165072865296176 0.5273861561035658 occupation=Farming-fishing
1.9367186842477329 -0.8776812401642641 occupation=Transport-moving
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1.535419163432891 0.8297991508369944 relationship=Own-child
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0.42691243008649143 -0.9316924001463535 relationship=Other-relative
0.7302759533163727 0.5838016561124538 relationship=Unmarried
0.25223651216618137 -0.8393089851316233 race=White
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1.0515922212989832 0.4811556667088917 race=Amer-Indian-Eskimo
1.1818575817380181 -0.2894710209384642 race=Other
0.37871056449776064 0.5713813186322133 race=Black
0.12263049211267547 -1.17042661110008 sex
0.7139196296804882 0.6522307465590221 capital-gain
-2.3647362311963587 0.8272226834233435 capital-loss
-0.8368069155896875 -0.2636729584172934 hours-per-week
0.39551717007801884 -0.12447668681483344 native-country=United-States
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0.16525047658724717 0.23243797672315714 native-country=England
1.125216988049235 0.30699494829214946 native-country=Puerto-Rico
-1.5748350556094641 0.539869688284352 native-country=Canada
1.1690626623950289 -0.29589360081679544 native-country=Germany
0.2035358490966259 0.31585698955825037 native-country=Outlying-US(Guam-USVI-etc)
-0.44340594718157383 0.00947180915241083 native-country=India
-0.2516325266034855 0.7232557343355679 native-country=Japan
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0.5891263750016678 -0.7760704666922844 native-country=China
1.6725883375218022 -0.7176446613655467 native-country=Cuba
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0.04377478995257311 0.5751648748767634 native-country=Philippines
0.35146122580556294 0.22173763587257855 native-country=Italy
1.6135968076330067 -0.9758590155440849 native-country=Poland
0.6701511256488272 0.8853267200607071 native-country=Jamaica
0.39592859993067836 0.4205198861037027 native-country=Vietnam
0.5134376890296014 -0.6033100775083949 native-country=Mexico
1.0188506655234595 -0.4279087107772902 native-country=Portugal
0.7641087854052524 0.371356413194051 native-country=Ireland
-0.5545293854425355 0.511176217355224 native-country=France
-0.7497246780521568 -0.8535987250884697 native-country=Dominican-Republic
0.6977831858105138 -0.4893099450295141 native-country=Laos
0.8204508839835039 -0.10251257070728391 native-country=Ecuador
0.403670846966965 -0.5614086372607829 native-country=Taiwan
-0.2447656777256742 0.743195649061164 native-country=Haiti
0.22375885094350315 0.729746687855243 native-country=Columbia
0.3182628572636012 -0.7012658706068771 native-country=Hungary
-0.4958555685085512 0.27603391017802537 native-country=Guatemala
-0.7187833665836358 -0.8776130093020806 native-country=Nicaragua
0.0624073123201672 0.2964724330561448 native-country=Scotland
-0.6060015490211613 -0.669189455038927 native-country=Thailand
-0.09875606314643552 -0.18699414535678113 native-country=Yugoslavia
0.26786929262595355 -0.2278725741494646 native-country=El-Salvador
-0.23822028978631724 0.588887843837419 native-country=Trinadad&Tobago
0.700656315604945 -0.7309791603811922 native-country=Peru
-0.26276876689809886 0.6637362347100906 native-country=Hong
-0.29195161982577317 0.9735652203932308 native-country=Holand-Netherlands
Hidden Weights:
-4.750915747850246 4.7152610770173915
-0.5203435961392947 0.9763312217421551
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 451 87.5728 %
Incorrectly Classified Instances 64 12.4272 %
Mean absolute error 0.2408
Root mean squared error 0.3065
Relative absolute error 69.735 %
Root relative squared error 73.8293 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
68 46 | a = >50K
18 383 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 431 83.6893 %
Incorrectly Classified Instances 84 16.3107 %
Mean absolute error 0.272
Root mean squared error 0.3578
Relative absolute error 77.5439 %
Root relative squared error 84.8663 %
Total Number of Instances 515
=== Confusion Matrix ===
a b <-- classified as
61 58 | a = >50K
26 370 | b = <=50K
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