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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 1629622545
-H 2
-M 0.01
Input Weights:
0.8949328254180033 -0.4914821189910643 age
0.6780605605487289 -0.7957974943944035 workclass=Private
-0.3569159956897865 -0.40304476633922093 workclass=Self-emp-not-inc
0.18430346626049388 0.2436511926227405 workclass=Self-emp-inc
0.11587001243951955 -0.8185163426293989 workclass=Federal-gov
0.3616359401079605 -0.6519500141268351 workclass=Local-gov
0.7751886263006376 -0.554620406504285 workclass=State-gov
0.11328740573910046 -0.923540782375843 workclass=Without-pay
0.9299607683510602 -0.7234605451914329 workclass=Never-worked
-0.06627211515531028 -0.5750983218456645 fnlwgt
-0.3352561920846824 -0.3324637095268306 education=Bachelors
-0.4121732731308587 -0.7269821100614267 education=Some-college
-0.4283763135573666 -0.21063815439537192 education=11th
0.3902702408817369 0.9577577044216259 education=HS-grad
0.3428566332180991 -0.09892646329632848 education=Prof-school
0.6468031188336785 -0.45537403133216925 education=Assoc-acdm
0.5462356970640603 0.15933752294228865 education=Assoc-voc
0.23295862586300675 0.9452248300604889 education=9th
0.1470786050587356 -0.8900853201348371 education=7th-8th
-0.3918741828787702 0.6440694578341835 education=12th
-0.023915153388947674 -0.14088341947675942 education=Masters
0.8809535674908606 0.6764158216940155 education=1st-4th
-0.24413738780013516 -0.9624448374788541 education=10th
-0.8371416777188165 0.8393923754362047 education=Doctorate
0.3441906709981133 0.3002610944188673 education=5th-6th
-0.6048299665834043 0.5870875918045049 education=Preschool
0.35132546736402825 0.5943445706037933 education-num
0.356363990237226 0.2911809961597607 marital-status=Married-civ-spouse
-0.4670970807531354 0.3244594571185473 marital-status=Divorced
0.611771340797516 0.6457266772892236 marital-status=Never-married
0.608985446981426 -0.8672064928955441 marital-status=Separated
-0.059216491744122024 0.030076976282744416 marital-status=Widowed
-0.8579183146077201 -0.2217080586777962 marital-status=Married-spouse-absent
0.16625156457133672 0.15868105484890038 marital-status=Married-AF-spouse
0.5197846563160344 -0.23778777588439537 occupation=Tech-support
0.43667404355141604 0.8503767277624668 occupation=Craft-repair
0.09705142145190293 0.3355491860464974 occupation=Other-service
0.7117570025037043 0.22132826130217764 occupation=Sales
-0.7061530689230329 0.4887525311100427 occupation=Exec-managerial
0.5326555170500868 0.9922149243261249 occupation=Prof-specialty
-0.4805876989372311 -0.16537932648561982 occupation=Handlers-cleaners
-0.10493850105766733 0.3176597416289222 occupation=Machine-op-inspct
0.777062921548638 -0.9608100136007782 occupation=Adm-clerical
0.18042472829135736 0.9789692744115781 occupation=Farming-fishing
-0.26581698438583934 -0.06051421444696192 occupation=Transport-moving
0.35087733574023083 -0.21644693661403291 occupation=Priv-house-serv
-0.06926635340706833 0.73655004030363 occupation=Protective-serv
-0.09148655454854904 -0.5918333985890909 occupation=Armed-Forces
0.12464038517513987 0.911356110068078 relationship=Wife
-0.8900519791948207 0.999392821576087 relationship=Own-child
-0.01885415192287132 -0.25705367536331236 relationship=Husband
-0.5183167010701768 0.8633089630398638 relationship=Not-in-family
-0.6783900336145268 -0.30596759575647803 relationship=Other-relative
0.3886358145181692 0.26559361394465 relationship=Unmarried
-0.1599084132528894 0.3697654883466479 race=White
-0.926135496459382 0.42067981372172003 race=Asian-Pac-Islander
0.9268548442696956 0.369556438704832 race=Amer-Indian-Eskimo
-0.26251825503179393 0.3399663464013596 race=Other
-0.6710133114368568 0.9775987178114622 race=Black
0.6010619408770663 0.46933144403009 sex
0.6205985109847001 -0.6682476541748783 capital-gain
0.9734817375744287 -0.42123679033547345 capital-loss
-0.391618620860954 0.24808493510690677 hours-per-week
-0.22333213957428666 0.7440942717375922 native-country=United-States
0.0911092249718577 -0.7462311857778203 native-country=Cambodia
0.2055882503253148 0.5236238978851191 native-country=England
0.021299481778628282 0.30709752939374213 native-country=Puerto-Rico
0.805135286290005 -0.40940951978536 native-country=Canada
-0.25033594821417715 0.09174830815847512 native-country=Germany
-0.4147875374411929 -0.385461345887804 native-country=Outlying-US(Guam-USVI-etc)
0.3029808119775501 -0.6865294229762668 native-country=India
-0.5790169930379339 -0.4621254387313041 native-country=Japan
-0.34289959362558253 -0.0297346045521496 native-country=Greece
-0.8267329533075916 -0.5156665636981652 native-country=South
0.7912435804324249 -0.30027219448854936 native-country=China
0.20861701008589506 -0.7515366014444052 native-country=Cuba
0.4885549220659735 -0.16380795150175365 native-country=Iran
0.5125563917860256 0.0030727456479644477 native-country=Honduras
0.8908234292819641 -0.7389582033287967 native-country=Philippines
0.8044710187002386 0.847160323163284 native-country=Italy
-0.2991209043893197 -0.7538368577436945 native-country=Poland
0.12908528552729948 -0.10883260000010542 native-country=Jamaica
-0.39831268497989436 0.7359169031501402 native-country=Vietnam
0.686482343408062 0.4992171807603525 native-country=Mexico
0.34261182758790243 0.5688312339390864 native-country=Portugal
-0.7418758999940664 -0.6921361052741206 native-country=Ireland
-0.584540624277686 -0.5931440025841186 native-country=France
-0.2030641717438757 0.9150198335258883 native-country=Dominican-Republic
-0.8407194854818303 -0.7633850897502186 native-country=Laos
-0.3993668383232698 -0.6528162600436218 native-country=Ecuador
0.31573855761060377 -0.4284650634963647 native-country=Taiwan
0.22322486916028939 -0.7973778069381863 native-country=Haiti
0.7971913556418357 0.47266146542926335 native-country=Columbia
-0.1370850277066804 0.8362707667417373 native-country=Hungary
-0.012773085611719415 -0.5052238743907909 native-country=Guatemala
0.5770926535497796 0.17109580634274701 native-country=Nicaragua
-0.003237847175313613 0.14725923914494943 native-country=Scotland
0.2171287952097536 0.23149584879805096 native-country=Thailand
-0.3547711755545071 0.6488764973616254 native-country=Yugoslavia
-0.43356599527624273 -0.19319860269223743 native-country=El-Salvador
-0.3081602845519287 -0.9160488566607254 native-country=Trinadad&Tobago
-0.35743282535581167 0.7455588109596938 native-country=Peru
0.1412216773206556 0.68461271407728 native-country=Hong
0.5447521365193917 0.20133001268684447 native-country=Holand-Netherlands
Hidden Weights:
0.36736018123103964 0.1142177419050252
0.18183953063064395 0.6475099373014641
>50K <=50K
Error sum for iteration 100 = 818.6851570117473
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1629622545
-H 2
-M 0.01
Input Weights:
1.086552285064503 -0.889122872087604 age
0.14942681045588302 -0.15883940986872325 workclass=Private
-0.590009160687089 0.19867477891857868 workclass=Self-emp-not-inc
0.4979904359907425 -0.7821877739898851 workclass=Self-emp-inc
0.1405005163171037 -1.025533176994917 workclass=Federal-gov
-0.002545051357772506 0.13572512589260108 workclass=Local-gov
0.44189657667232274 0.1052735153577032 workclass=State-gov
0.03154490511026329 -0.8148123781971661 workclass=Without-pay
0.8497857694706681 -0.6193192588670471 workclass=Never-worked
-0.21240987346725976 -0.2738304362899277 fnlwgt
-0.2709543651496804 -0.4937685649734017 education=Bachelors
-0.5326399328666793 0.10368599332770306 education=Some-college
-0.708375592448946 0.5345507608670298 education=11th
0.12332307582309054 0.33176693618134656 education=HS-grad
0.6035531674048645 -0.9024046679256196 education=Prof-school
0.230697529514672 -0.12401810019721482 education=Assoc-acdm
0.3393582792826034 0.36457942331667226 education=Assoc-voc
0.018578478550175553 1.4205450385801193 education=9th
-0.47478186444531556 0.37215328980074247 education=7th-8th
-0.5426139888618617 0.9500516288859486 education=12th
0.2214597936789854 -0.3913690237725009 education=Masters
0.7257243237501118 0.9788071946100702 education=1st-4th
-0.9139395932384377 0.3482005298712637 education=10th
-0.04255909039532674 -0.8689473053480792 education=Doctorate
0.24855285122017526 0.44882730603769483 education=5th-6th
-0.695940032681528 0.7184787854326282 education=Preschool
1.0849042837727423 -1.4209836662120634 education-num
0.5171986412524786 -0.8767165468774529 marital-status=Married-civ-spouse
-0.4148824558539015 0.4130791870932315 marital-status=Divorced
0.3413742844060108 1.3855201192072784 marital-status=Never-married
0.025520296491156353 0.0930919496287218 marital-status=Separated
-0.2798650073924788 0.3724010864789268 marital-status=Widowed
-1.0467734279113334 0.1384890413699585 marital-status=Married-spouse-absent
0.01394314128547314 0.39746506809054183 marital-status=Married-AF-spouse
0.3344546952247692 -0.27308298778072065 occupation=Tech-support
0.23825116426990042 0.35743602039525374 occupation=Craft-repair
-0.17331098766286393 0.9293858163776899 occupation=Other-service
0.4236500695345411 0.3561087382056352 occupation=Sales
0.029711589709927905 -0.6439536183591735 occupation=Exec-managerial
0.6800302160258315 0.4787391165993579 occupation=Prof-specialty
-0.7828291142021684 0.4997776711658597 occupation=Handlers-cleaners
-0.22534443005620503 0.6956843206677642 occupation=Machine-op-inspct
-0.045612006001437264 0.6692574729722228 occupation=Adm-clerical
-0.1659129923990224 1.6352743748971845 occupation=Farming-fishing
-0.39193616856162583 0.39921407055847863 occupation=Transport-moving
0.20040653916309983 0.011172291111478841 occupation=Priv-house-serv
0.18203271994378784 0.33927891583972014 occupation=Protective-serv
-0.17940280516212642 -0.47455488224409303 occupation=Armed-Forces
0.3716701374247315 -0.3970109618802231 relationship=Wife
-1.0685748985904922 1.5879884835607594 relationship=Own-child
-0.3602894242965444 0.3039028915079445 relationship=Husband
-0.5450150410920483 0.6137699389528942 relationship=Not-in-family
-1.0635376869223037 0.4143973801414699 relationship=Other-relative
-0.04903973695727678 1.4115605137671783 relationship=Unmarried
-0.4952766770091456 0.4634167496171278 race=White
-0.98281599793624 0.5817636936934059 race=Asian-Pac-Islander
0.5551249844316929 1.2350485628397931 race=Amer-Indian-Eskimo
-0.5661566231030596 0.9448748262712247 race=Other
-0.6458713037390376 0.6062996947813437 race=Black
0.9031044336425412 0.3737323164983202 sex
0.9467110000492036 -1.281639516983674 capital-gain
1.4047713954792762 -1.4201069338730872 capital-loss
0.8350213807356762 -2.2606123144895083 hours-per-week
-0.09712152828113096 -0.34625046604807264 native-country=United-States
0.11928005455132885 -0.8346050476448177 native-country=Cambodia
0.07780409538032279 0.7309119095005502 native-country=England
-0.08918584905229872 0.5074888199586173 native-country=Puerto-Rico
0.7606295257110136 -0.31517677931501836 native-country=Canada
-0.2848700114076168 0.06403197972293491 native-country=Germany
-0.5047239407292355 -0.2646544072069663 native-country=Outlying-US(Guam-USVI-etc)
-0.021742877439348884 -0.13782842593790248 native-country=India
-0.7423535600088017 -0.21661849987355758 native-country=Japan
-0.4621445692620054 0.11890805264090733 native-country=Greece
-0.9192425575569372 -0.4509426261765069 native-country=South
0.5861702450632903 0.07665364382164382 native-country=China
-0.1559874302617374 -0.12157655715093542 native-country=Cuba
0.5656898224742448 -0.44163003764922715 native-country=Iran
0.4046437814372954 0.16971250557001288 native-country=Honduras
0.7996762635644172 -0.6096939019621097 native-country=Philippines
0.8953274814963507 0.5776600132485056 native-country=Italy
-0.5398211477142907 -0.3654897291939772 native-country=Poland
0.15524782456671038 -0.23459013112475607 native-country=Jamaica
-0.48818738575362763 0.8750689728239391 native-country=Vietnam
0.35028579882460337 1.3362801171418015 native-country=Mexico
0.30523464167179604 0.5611511296162746 native-country=Portugal
-0.7692712707023698 -0.686617499334479 native-country=Ireland
-0.6437037399165734 -0.4992237357142465 native-country=France
-0.195018215543817 0.9428113074357212 native-country=Dominican-Republic
-0.9723345294307607 -0.5495401984041168 native-country=Laos
-0.5113617271064735 -0.4909793867390917 native-country=Ecuador
0.2833708488531011 -0.39566910110292386 native-country=Taiwan
0.08213346526727934 -0.5529464076193268 native-country=Haiti
0.6409976201086658 0.8277105690703156 native-country=Columbia
-0.21726002658702598 0.9404120530661231 native-country=Hungary
-0.06701027540282002 -0.41100812101043116 native-country=Guatemala
0.43868581187147393 0.43909746203687733 native-country=Nicaragua
-0.0898358537183346 0.26150233015779145 native-country=Scotland
0.13929304640964688 0.3701373035324701 native-country=Thailand
-0.44832081772067217 0.7776169712192432 native-country=Yugoslavia
-0.5729320257954532 0.006992014570398864 native-country=El-Salvador
-0.4455172550284054 -0.6998131042387908 native-country=Trinadad&Tobago
-0.43272743465354374 0.8244296029016237 native-country=Peru
0.0588285126541785 0.7944743734516868 native-country=Hong
0.4645771376390544 0.305471299011194 native-country=Holand-Netherlands
Hidden Weights:
1.9280929229849186 -1.8745395200032562
-3.24560745563099 3.2767532212916475
>50K <=50K
Error sum for iteration 200 = 821.8904427284087
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1629622545
-H 2
-M 0.01
Input Weights:
1.193064354247735 -0.9518037873087619 age
-0.11499245683112594 -0.29328712890658926 workclass=Private
-0.3140806494483298 0.4065103843086639 workclass=Self-emp-not-inc
0.38622719481860657 -0.7117625400300914 workclass=Self-emp-inc
0.0790139619966463 -0.9345213934234513 workclass=Federal-gov
-0.04275251813996226 0.15057679769902385 workclass=Local-gov
0.45959305203221534 0.17494624988863666 workclass=State-gov
0.018751602432357708 -0.7922379407402679 workclass=Without-pay
0.8366494464279663 -0.5965243423551682 workclass=Never-worked
-0.19821378061656422 -0.24384097017321266 fnlwgt
-0.5101772019560112 -0.594186927418209 education=Bachelors
-0.32730283747633554 0.2573005247150538 education=Some-college
-0.6353361880801052 0.637844537834531 education=11th
-0.1236747359460202 0.22357651117019856 education=HS-grad
0.5850982803187076 -0.6656576066250772 education=Prof-school
0.06984699515078 -0.1170831431697753 education=Assoc-acdm
0.31539867896236 0.4211962942801604 education=Assoc-voc
-0.020682843919000615 1.3915128490032467 education=9th
-0.5260516886157699 0.470692031985262 education=7th-8th
-0.5758871415121024 1.0388762151931847 education=12th
0.28761060684151146 -0.23071454498327565 education=Masters
0.6462795532188034 1.099165092347376 education=1st-4th
-0.9422460625761235 0.4926976013078401 education=10th
0.1932537813734741 -1.2344798353379214 education=Doctorate
0.2875059921968422 0.40472501377628356 education=5th-6th
-0.7094639018695607 0.7427526068999043 education=Preschool
1.0919846681859724 -1.4293669444908415 education-num
0.5722687789213311 -1.077201275253513 marital-status=Married-civ-spouse
-0.3722177341469519 0.512857581680882 marital-status=Divorced
0.4398373991861202 1.5220660134496429 marital-status=Never-married
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-1.147502148972579 0.31790862070994924 marital-status=Married-spouse-absent
-0.05919390097564206 0.5061704407687646 marital-status=Married-AF-spouse
0.2113779718114066 -0.23732283959055506 occupation=Tech-support
0.1414063333245995 0.3394358412456914 occupation=Craft-repair
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0.40004439071468945 0.4233830290220882 occupation=Sales
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0.6616372753156117 0.5723685412856414 occupation=Prof-specialty
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-0.13487490261680854 0.7343826230965717 occupation=Machine-op-inspct
-0.06600894644797405 0.6775734524064013 occupation=Adm-clerical
-0.30701673186994394 1.7887712910157776 occupation=Farming-fishing
-0.3545545869206982 0.4416481129876241 occupation=Transport-moving
0.1300109871810961 0.147458087074552 occupation=Priv-house-serv
0.301785836337649 0.22803541032561814 occupation=Protective-serv
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0.21946306328847429 -0.296561457728937 relationship=Wife
-0.9625734120328266 1.5225936749977649 relationship=Own-child
-0.4769185548466519 0.5879643446307455 relationship=Husband
-0.6620503821529757 0.5213389396415054 relationship=Not-in-family
-1.107604241126872 0.47536845901312474 relationship=Other-relative
0.09098835383861784 1.4430331166616877 relationship=Unmarried
-0.4865618115349055 0.25811142723178626 race=White
-0.7483957472315994 0.422706514395899 race=Asian-Pac-Islander
0.31934405555620843 1.6011193098275303 race=Amer-Indian-Eskimo
-0.7817396497585046 1.4674506626814185 race=Other
-0.6084146639424858 0.3783495277203187 race=Black
0.9741687326390754 0.3332714094958986 sex
1.2681419753706475 -1.671501681542508 capital-gain
1.5267180993889802 -1.6362540918205313 capital-loss
1.226569112452041 -2.5779098744417857 hours-per-week
-0.12358533964974586 -0.44075148858130797 native-country=United-States
0.2437112730953325 -1.0296084068792095 native-country=Cambodia
0.04198283632425259 0.7554643721213681 native-country=England
-0.0725185233359595 0.5356840425563422 native-country=Puerto-Rico
0.810215078803458 -0.3868993596839086 native-country=Canada
-0.1952381049285017 -0.13779283862456201 native-country=Germany
-0.5259837983888996 -0.22995546787636925 native-country=Outlying-US(Guam-USVI-etc)
-0.22067612082764423 0.29704376472342087 native-country=India
-0.8592108487898193 0.0202960145685339 native-country=Japan
-0.5519619433126179 0.2401955065187751 native-country=Greece
-0.929713864845589 -0.47923366773860493 native-country=South
0.4170532393282914 0.31392796291871694 native-country=China
-0.38104250801497075 0.22798906036088165 native-country=Cuba
0.7262261431581478 -0.7935751642390212 native-country=Iran
0.35920453357031223 0.2362839485923296 native-country=Honduras
0.7993309420763501 -0.6013067670259852 native-country=Philippines
1.1006703300385068 0.25720323417454916 native-country=Italy
-0.7358397860769469 -0.056485980586397234 native-country=Poland
0.29749416331682854 -0.5438380645026083 native-country=Jamaica
-0.499355984173269 0.9153658523524497 native-country=Vietnam
0.3026745948537234 1.4697280342004828 native-country=Mexico
0.374026516618937 0.44190353547636185 native-country=Portugal
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-1.0194902262328036 -0.436712273945899 native-country=Laos
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0.3139885154564036 -0.47335365539087243 native-country=Taiwan
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0.49953268101794246 1.1508649040352548 native-country=Columbia
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0.35355754421594165 0.5771281562043167 native-country=Nicaragua
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0.10966770132240176 0.4378211410322866 native-country=Thailand
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0.04611253143035898 0.8169129893353333 native-country=Hong
0.4514408145963167 0.3282662155230426 native-country=Holand-Netherlands
Hidden Weights:
2.0320873781550044 -2.02061701956885
-3.38169081525426 3.388646028269086
>50K <=50K
Error sum for iteration 300 = 814.5537660931874
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1629622545
-H 2
-M 0.01
Input Weights:
1.1784294150749024 -0.991508378589596 age
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0.01582483122339718 0.6861868318246886 workclass=Self-emp-not-inc
0.2734678148780839 -0.74674105781471 workclass=Self-emp-inc
0.06267568310348623 -0.9202279862408097 workclass=Federal-gov
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0.45647782377436275 0.22508081796900226 workclass=State-gov
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0.8312522599352343 -0.5829623516133315 workclass=Never-worked
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0.35938532535025774 -0.16745074204923419 education=Masters
0.5715978480235204 1.2039722450842745 education=1st-4th
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0.2731756892579979 -1.2878583655506108 education=Doctorate
0.3215124151237024 0.35655518306832934 education=5th-6th
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1.117342941970461 -1.4120974678558031 education-num
0.6552597150128646 -1.27582947948715 marital-status=Married-civ-spouse
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0.6491369756667593 0.599049083925729 occupation=Prof-specialty
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0.08016908141862106 0.26793572610068067 occupation=Priv-house-serv
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0.15156164261245322 -0.1926984766013993 relationship=Wife
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0.2034256473908688 1.7753663407041296 race=Amer-Indian-Eskimo
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0.9040783041722926 0.2676714008867924 sex
1.5302409968213397 -1.956314513452829 capital-gain
1.54933848700025 -1.6923758215261486 capital-loss
1.4148809980584305 -2.5655896577091406 hours-per-week
-0.15045623577547898 -0.5023362640295439 native-country=United-States
0.37716999861572975 -1.2328451966158378 native-country=Cambodia
0.02366436902565767 0.7633912688655116 native-country=England
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0.8377141760180158 -0.4185659102671616 native-country=Canada
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0.2702972441149294 0.4635387944029617 native-country=China
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1.2319780468040684 0.05621615604593267 native-country=Italy
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0.41766777451571163 -0.8203470976026259 native-country=Jamaica
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0.2906548152581942 1.5288639248891394 native-country=Mexico
0.4396041877102784 0.3331090087386159 native-country=Portugal
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0.10056919659198814 0.7115575890984932 native-country=Dominican-Republic
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0.3179598373973652 -0.5184904329781446 native-country=Taiwan
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0.3600130440989732 1.443438962180105 native-country=Columbia
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0.040561232769336125 -0.5606608100274628 native-country=Guatemala
0.27596655277609117 0.6781156929919193 native-country=Nicaragua
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0.07843183064249314 0.4968967206096493 native-country=Thailand
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0.041060227130324624 0.830187660426799 native-country=Hong
0.44604362810359727 0.3418282062648649 native-country=Holand-Netherlands
Hidden Weights:
2.115510662885355 -2.113722821416228
-3.399383839563574 3.4003921190684245
>50K <=50K
Error sum for iteration 400 = 804.8208385663099
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1629622545
-H 2
-M 0.01
Input Weights:
1.0940515365054018 -1.0746537132226874 age
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0.34821320085949364 0.997286136144435 workclass=Self-emp-not-inc
0.10964464249371964 -0.8373887439039168 workclass=Self-emp-inc
0.040025711749768565 -0.9342269286400183 workclass=Federal-gov
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0.43276115577097385 0.27189828015305584 workclass=State-gov
0.009165229303683915 -0.7668816542703547 workclass=Without-pay
0.826706405347551 -0.5709925165558012 workclass=Never-worked
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0.8446689694486413 -0.3288580039569794 education=Prof-school
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0.3926421765315456 -0.10035629751081591 education=Masters
0.49955268266715397 1.3015237346538053 education=1st-4th
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0.345859550519498 -1.2783646464670102 education=Doctorate
0.355552806135301 0.31420940541162273 education=5th-6th
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1.1708716121733127 -1.3714791720804522 education-num
0.7126952827699473 -1.4444010419610875 marital-status=Married-civ-spouse
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0.15156219408228555 1.8993576432255292 race=Amer-Indian-Eskimo
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0.7478290559832214 0.1539432980291184 sex
1.75588776223774 -2.170050772220629 capital-gain
1.5605388390774102 -1.7089192446616288 capital-loss
1.5349898672229603 -2.5334303597099637 hours-per-week
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0.5091809059919556 -1.4330612835382668 native-country=Cambodia
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1.3028526931103674 -0.05347975629342688 native-country=Italy
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0.29192945851653207 1.5737512917234084 native-country=Mexico
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0.3051603105281413 -0.5411362802140255 native-country=Taiwan
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0.2182639983397832 1.6869957557270758 native-country=Columbia
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0.043531900628987416 0.553909524634749 native-country=Thailand
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0.036784422717574 0.8419503708091021 native-country=Hong
0.4414977735158958 0.35379804132238374 native-country=Holand-Netherlands
Hidden Weights:
2.2732650388933306 -2.2730975383946657
-3.394702609544922 3.394775606264213
>50K <=50K
Error sum for iteration 500 = 787.7074670299859
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1629622545
-H 2
-M 0.01
Input Weights:
1.0237202388344844 -1.2001545601529964 age
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0.7142472238319907 1.3509954148972525 workclass=Self-emp-not-inc
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0.5448428438756746 0.017488303439401397 sex
1.9769034596830168 -2.336392389064476 capital-gain
1.5921266086665598 -1.7275050639043077 capital-loss
1.583388390714743 -2.5558745700656367 hours-per-week
-0.3259948267044891 -0.6910225795161369 native-country=United-States
0.6408332466280893 -1.6256622757419439 native-country=Cambodia
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0.0024362262977070453 -0.34968334091890774 native-country=Germany
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0.03773306253666213 0.6207161866467257 native-country=China
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1.0741222105476864 -1.3972818622611058 native-country=Iran
0.2740889765292273 0.36042699891768365 native-country=Honduras
0.6740676831030087 -0.48601347567271114 native-country=Philippines
1.3320300942898287 -0.10385067103319774 native-country=Italy
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0.5922820236880281 -1.2362773982070108 native-country=Jamaica
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0.31114356519965036 1.6197208844677835 native-country=Mexico
0.5416381200795972 0.16776275990632572 native-country=Portugal
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0.3710998457447463 0.5422885711020285 native-country=Dominican-Republic
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0.28494291968299995 -0.5532372764045772 native-country=Taiwan
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0.06907531164970046 1.884710702234304 native-country=Columbia
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0.15272556162778747 -0.7036726277260014 native-country=Guatemala
0.12397326220984853 0.8353659759095775 native-country=Nicaragua
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0.01643527468844094 0.610844298602581 native-country=Thailand
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0.03284741452416785 0.8535488320135639 native-country=Hong
0.43736819042399055 0.3655125116693698 native-country=Holand-Netherlands
Hidden Weights:
2.5211924856742263 -2.521183321230763
-3.397769100348426 3.3977710820402236
>50K <=50K
Error sum for iteration 600 = 770.7378885081641
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1629622545
-H 2
-M 0.01
Input Weights:
1.0053383957396018 -1.3185417001981796 age
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1.0356014789326558 1.6913140996925784 workclass=Self-emp-not-inc
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0.3699638049550155 0.31756531164728274 workclass=State-gov
0.0015676153752361883 -0.7451039580470088 workclass=Without-pay
0.8188946765731504 -0.5490903762720866 workclass=Never-worked
0.1461854006972774 -0.0697201167200129 fnlwgt
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0.4556695092520426 -1.2096490023254034 education=Doctorate
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1.3219982433998851 -1.2486387039107438 education-num
0.8043027348081134 -1.689832103549369 marital-status=Married-civ-spouse
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0.3877356496855397 -0.0861638071232363 sex
2.205167302587957 -2.4751739257259717 capital-gain
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0.029303036322664983 0.8636755624583642 native-country=Hong
0.4336860447414871 0.37570018160607366 native-country=Holand-Netherlands
Hidden Weights:
2.7516679801356045 -2.7516676755307357
-3.3898757970081657 3.3898758047954467
>50K <=50K
Error sum for iteration 700 = 757.862844723339
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1629622545
-H 2
-M 0.01
Input Weights:
0.99613605090977 -1.4110188864799973 age
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1.2196968650028424 1.95281371976197 workclass=Self-emp-not-inc
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0.24155480488006606 -0.011923237541927341 fnlwgt
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0.3262887233118914 1.5651492579713273 education=1st-4th
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0.47968359892310897 -1.1940725430566812 education=Doctorate
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0.2982515175433669 -0.14975699410072327 sex
2.4306584740675032 -2.5930845282617705 capital-gain
1.6949556680841709 -1.8150890374725408 capital-loss
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0.025977296855760487 0.8720028441534843 native-country=Hong
0.4302540108805334 0.38406667475219475 native-country=Holand-Netherlands
Hidden Weights:
2.88555673153831 -2.8855567238778974
-3.3478806386238427 3.3478806381165507
>50K <=50K
Error sum for iteration 800 = 747.0713064173808
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1629622545
-H 2
-M 0.01
Input Weights:
0.9862859283829035 -1.4889961895014319 age
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1.308138962755076 2.1449549331077367 workclass=Self-emp-not-inc
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0.47609154958275535 2.20131422740559 marital-status=Never-married
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0.17118946486307532 -0.44731216808466606 occupation=Tech-support
0.3450920209486284 0.4976610330009947 occupation=Craft-repair
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0.21299188899261223 1.0085726959100685 occupation=Machine-op-inspct
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0.3004369579567344 0.31415223760994054 relationship=Wife
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0.09804592650916157 1.4440296489954125 relationship=Unmarried
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0.2108244972467728 2.264275835437346 race=Amer-Indian-Eskimo
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-0.19068613883972635 0.3047865810064156 race=Black
0.2495358562649722 -0.18748560194936476 sex
2.6463743054062143 -2.6937718712761 capital-gain
1.7430671694028474 -1.8501756279248165 capital-loss
1.6292445581591715 -2.8169970246461333 hours-per-week
-0.5047065986061163 -0.9270117299091788 native-country=United-States
1.0696735853481751 -2.1295811173418904 native-country=Cambodia
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0.4594786750025446 0.4038294839218645 native-country=Puerto-Rico
0.8839100707215773 -0.48780344453530716 native-country=Canada
0.0997933836732144 -0.3082062646079155 native-country=Germany
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1.2533948825081092 -1.5806503188503143 native-country=Iran
0.20618434461734642 0.43358809394837017 native-country=Honduras
0.5740207024942355 -0.4167665660395504 native-country=Philippines
1.2843039365338427 -0.17457336192790457 native-country=Italy
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0.8712105675205237 -1.5876433546670203 native-country=Jamaica
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0.3506897356622033 1.757939212266254 native-country=Mexico
0.6875244706112484 -0.006635449783388126 native-country=Portugal
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-0.5173779116939171 -0.5697173417308896 native-country=France
0.5525664206499282 0.4607003617946438 native-country=Dominican-Republic
-1.1704085084018592 -0.019319486791282727 native-country=Laos
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0.26216971987158544 -0.5725936769704822 native-country=Taiwan
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0.2968078256591213 -0.8596624568787788 native-country=Guatemala
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0.01292784259717055 0.779342041029952 native-country=Thailand
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0.022911930256126527 0.8793922108159954 native-country=Hong
0.42710824299557426 0.39148349979600977 native-country=Holand-Netherlands
Hidden Weights:
2.9548594767136565 -2.95485947654502
-3.2904068732316727 3.2904068732150717
>50K <=50K
Error sum for iteration 900 = 737.3782065868577
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 1000
-E 0.01
-S 1629622545
-H 2
-M 0.01
Input Weights:
0.9801798235985503 -1.55838154451453 age
-0.5269809831832055 -0.47167542232486176 workclass=Private
1.3514111139835066 2.2974536167941237 workclass=Self-emp-not-inc
-0.6094421769322026 -1.3806636145965199 workclass=Self-emp-inc
0.06260873491138423 -1.029650571759352 workclass=Federal-gov
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0.3717325026440452 0.3917556622578435 workclass=State-gov
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0.809380414460313 -0.5263321020883037 workclass=Never-worked
0.4023341714671298 0.08782474600511746 fnlwgt
-0.8757290712916107 -1.2342418077550252 education=Bachelors
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0.12116881867743698 1.3612818008543779 education=11th
-1.0102618888549164 -0.3053016815672595 education=HS-grad
1.4010521395121784 0.4340907960493917 education=Prof-school
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0.5215678305981385 0.5965022900315728 education=Assoc-voc
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0.24004423006944237 -0.14242420801047212 education=Masters
0.21526240606187297 1.7283307433413377 education=1st-4th
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0.5231888402782552 -1.2026984973042176 education=Doctorate
0.5448009404493457 0.21417659844368298 education=5th-6th
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1.4592783670343952 -1.2864539147626302 education-num
1.011451647269945 -1.86765241654062 marital-status=Married-civ-spouse
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0.431475278366113 2.226419786124598 marital-status=Never-married
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0.2712889337788717 0.3322332753725412 relationship=Wife
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0.06365529781994261 1.422526516122592 relationship=Unmarried
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0.20125777096846736 2.333384538089929 race=Amer-Indian-Eskimo
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0.22480984151373837 -0.2081600349248299 sex
2.8501343359678266 -2.7811064706198696 capital-gain
1.7927630544718651 -1.8732526909570564 capital-loss
1.6590603287872823 -2.897694324109785 hours-per-week
-0.5377353786830554 -0.9901938351990941 native-country=United-States
1.2180649335111784 -2.2597180313269507 native-country=Cambodia
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0.5291984014633625 0.4068019009758938 native-country=Puerto-Rico
0.8625199944801544 -0.5109097969677429 native-country=Canada
0.11228600722564744 -0.30271698045934936 native-country=Germany
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1.2984637291414658 -1.6096481101400133 native-country=Iran
0.18485622750227865 0.4515917499957592 native-country=Honduras
0.578658698242589 -0.40611314726930625 native-country=Philippines
1.2542804360400286 -0.20194541581350905 native-country=Italy
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0.943256750919341 -1.6429495082900754 native-country=Jamaica
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0.3424034507628552 1.8049265013313098 native-country=Mexico
0.7225651984683941 -0.042684997881934285 native-country=Portugal
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0.569679585843596 0.4544646861068097 native-country=Dominican-Republic
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0.2686536295874627 -0.5702853842892837 native-country=Taiwan
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-0.5155981967776737 2.3393635449992285 native-country=Columbia
-0.25766538159749725 1.0333992098448952 native-country=Hungary
0.3417232446309594 -0.9032378275219912 native-country=Guatemala
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-0.19530734291912255 0.38868751997950646 native-country=Scotland
0.016681007322700704 0.8358191271795586 native-country=Thailand
-0.5646820792535563 1.0124842550961746 native-country=Yugoslavia
-0.2290911415335118 0.5680474334954776 native-country=El-Salvador
-0.718759019776044 -0.2106125278760125 native-country=Trinadad&Tobago
-0.3967899917751774 0.5215561209716997 native-country=Peru
0.020034095436797253 0.8863478465574978 native-country=Hong
0.42417178262858096 0.3984584557898778 native-country=Holand-Netherlands
Hidden Weights:
2.9952672355439742 -2.995267235540541
-3.231806261620584 3.2318062616202123
>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 1629622545
-H 2
-M 0.01
Input Weights:
0.9794000194819139 -1.620792259604986 age
-0.5813346929506438 -0.5073699869329066 workclass=Private
1.3743796894270108 2.4286808674687426 workclass=Self-emp-not-inc
-0.6211864688231004 -1.4165297772059382 workclass=Self-emp-inc
0.06249095753346759 -1.0489647821572656 workclass=Federal-gov
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0.3872541483105458 0.4309134931617221 workclass=State-gov
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0.8066049165579967 -0.5196458396305607 workclass=Never-worked
0.4746591828899635 0.1270766243375472 fnlwgt
-0.8776289274832375 -1.2711060914205217 education=Bachelors
-0.714069914524946 -0.025020039732492543 education=Some-college
0.17170093976049744 1.4406392915202413 education=11th
-1.011889051002695 -0.31863512694482693 education=HS-grad
1.4528687865378629 0.5155763312227549 education=Prof-school
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0.5468583121069122 0.618678832655966 education=Assoc-voc
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0.1762148333447035 -0.2120339827285408 education=Masters
0.15810955496673706 1.8066144265070523 education=1st-4th
-1.3422906742135092 0.5186625866699346 education=10th
0.5469126800298637 -1.2117965205589998 education=Doctorate
0.5634906431396319 0.20535374849821153 education=5th-6th
-0.7485404031330697 0.8559699793107883 education=Preschool
1.4892188121366075 -1.3275543693691692 education-num
1.0584432465947506 -1.9281235596916275 marital-status=Married-civ-spouse
-0.21919460099909086 1.0261037928723464 marital-status=Divorced
0.3899836644056066 2.237173075138341 marital-status=Never-married
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0.13622359761279867 -0.5209444077638882 occupation=Tech-support
0.3819892353059167 0.5358984711458874 occupation=Craft-repair
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0.36375080797548226 0.3649805891225198 occupation=Sales
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0.9305945735680943 0.9072825674666386 occupation=Prof-specialty
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0.27114212442961366 1.0712520920207869 occupation=Machine-op-inspct
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0.2365199104285684 0.3352774530661366 relationship=Wife
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0.04042970009332493 1.4064643866190285 relationship=Unmarried
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0.18925176995729215 2.394525530049096 race=Amer-Indian-Eskimo
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0.21540209209397027 -0.216666518085923 sex
3.0401774890334874 -2.8573031056365283 capital-gain
1.8471970402220845 -1.8847490416785828 capital-loss
1.689256913151504 -2.9730562113277648 hours-per-week
-0.5708035218336471 -1.0527370659823239 native-country=United-States
1.3642289617401675 -2.3711787099171926 native-country=Cambodia
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0.5925231062659713 0.4141484036668986 native-country=Puerto-Rico
0.8429026080582778 -0.5354131791377807 native-country=Canada
0.1235362401015357 -0.30171030784660335 native-country=Germany
-0.6047887775069828 -0.1063603169583491 native-country=Outlying-US(Guam-USVI-etc)
-1.0192481739445314 1.4500645302555004 native-country=India
-1.5283668356389812 0.9975146865196685 native-country=Japan
-0.5002764944552366 1.1926588493653159 native-country=Greece
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1.3415305763902796 -1.6323811036073232 native-country=Iran
0.16472584825103836 0.46785678769685424 native-country=Honduras
0.5928736318337369 -0.39667992882019026 native-country=Philippines
1.2206236444043717 -0.23193607499247187 native-country=Italy
-1.145144823385809 0.5847728803539708 native-country=Poland
0.9967481106807001 -1.6776869110294381 native-country=Jamaica
-0.4208468550453709 1.1233235663774674 native-country=Vietnam
0.32944229330284347 1.8510694058899397 native-country=Mexico
0.7488787581303837 -0.06872521410925524 native-country=Portugal
-0.355190329402931 -1.7299783539139157 native-country=Ireland
-0.4762532766823056 -0.5898134301391822 native-country=France
0.5775868547174765 0.45300274490558357 native-country=Dominican-Republic
-1.199822947780323 0.06807026734274298 native-country=Laos
-0.6151785619472392 -0.2757831475257572 native-country=Ecuador
0.2773255860225538 -0.5640002383367367 native-country=Taiwan
-0.7368138405109577 0.4554028601996622 native-country=Haiti
-0.6433133380300016 2.4086952087479503 native-country=Columbia
-0.26044087949981926 1.0400854723026207 native-country=Hungary
0.3854443223529261 -0.9431236146916439 native-country=Guatemala
-0.15989934952283066 1.0642243001774978 native-country=Nicaragua
-0.20293626201113468 0.3974335216055333 native-country=Scotland
0.0199359184924411 0.890859553070048 native-country=Thailand
-0.5718374819578149 1.0339709471508924 native-country=Yugoslavia
-0.14897667711215168 0.6374578077445363 native-country=El-Salvador
-0.7461482383693872 -0.18559888113483577 native-country=Trinadad&Tobago
-0.4163627430507984 0.4924357646814175 native-country=Peru
0.01729941956744059 0.8930209185216932 native-country=Hong
0.42139628472625895 0.4051447182476207 native-country=Holand-Netherlands
Hidden Weights:
3.025328554149777 -3.0253285541497084
-3.178179760997566 3.178179760997554
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4230 84.347 %
Incorrectly Classified Instances 785 15.653 %
Mean absolute error 0.2674
Root mean squared error 0.3336
Relative absolute error 72.4242 %
Root relative squared error 77.6484 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
722 503 | a = >50K
282 3508 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 4175 83.2502 %
Incorrectly Classified Instances 840 16.7498 %
Mean absolute error 0.2719
Root mean squared error 0.3418
Relative absolute error 74.6025 %
Root relative squared error 80.6101 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
670 508 | a = >50K
332 3505 | b = <=50K
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