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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 4
Number Output Nodes: 2
-I 8000
-E 0.0112
-S 1805502473
-H 4
-M 0.0445
Input Weights:
-0.9511889882696107 0.8271540848471861 -0.6326017521625518 0.36443299853681976 age
0.881432018672214 -0.8810518376973293 -0.8160474690039299 -0.9682462990359311 workclass=Private
0.37823933773504503 0.21454592616475687 0.10249848641580983 -0.4550071520481589 workclass=Self-emp-not-inc
-0.3000674620782884 0.9362500966927871 0.7840243118613375 -0.6101053001182011 workclass=Self-emp-inc
-0.6744947026459946 -0.8520435160896402 0.316438539750594 0.21708028670127644 workclass=Federal-gov
0.052862366672454586 -0.7490820985073068 -0.882510667809375 0.39405662491457205 workclass=Local-gov
0.8287678390377426 -0.15932142838439134 0.9327052249662304 0.8902087467906343 workclass=State-gov
-0.36820059272918915 -0.08149764082421806 -0.8701045081729648 0.7734299576798371 workclass=Without-pay
0.38109301199165646 0.8742474528454185 0.39685783280111653 0.15214648926524976 workclass=Never-worked
-0.9266128442261461 0.6047277342303843 0.37712974670360144 0.4550004130843357 fnlwgt
-0.45546217454899596 -0.31892184121029077 -0.9270116517752092 0.8729613462823893 education=Bachelors
-0.1760387122041207 0.5590730624819855 0.6307401603677294 0.977519264920091 education=Some-college
0.4720391084247657 -0.23501994986566488 0.5206319948762828 0.7456042991979634 education=11th
0.8503657817182113 -0.08064140928149177 -0.44950029933967617 0.5417821034674524 education=HS-grad
-0.2932807572462157 0.1750903503920016 -0.42963216252575864 0.27281984300064166 education=Prof-school
0.46947218866750196 -0.2006664389397843 -0.007611702258861985 -0.11175444131609624 education=Assoc-acdm
0.7081291807504706 -0.7944068178044312 0.5556572437522092 -0.9335657721138699 education=Assoc-voc
-0.24061421942575856 0.008039366856094743 -0.06414255079300157 3.6145443088742013E-4 education=9th
-0.9642381334211705 -0.34223500706955745 0.581883792077786 -0.7749867870236593 education=7th-8th
0.8670432408127318 -0.9092354758105645 0.3900125000367807 0.06057273071867808 education=12th
-0.8696007473626297 -0.7334498770360984 0.7058435668264667 -1.1115062725131075E-4 education=Masters
0.3465258071471924 -0.33602330668317903 -0.3129087233549903 0.9892149607419758 education=1st-4th
-0.8167277956790722 -0.9135863589393431 0.02610996403624033 0.8792707673766966 education=10th
0.7878156648994752 -0.7807680378694088 -0.462522817258358 -0.09064052952929758 education=Doctorate
-0.03737106121044187 -0.6927186014346831 -0.6059751197526604 -0.42152781045066234 education=5th-6th
-0.7039451796392546 -0.04651553519580287 0.37884686133433476 0.9189431316199956 education=Preschool
-0.25061215762800937 -0.2811473040256278 0.4750638852980775 -0.28466627594939187 education-num
0.7570139763148025 -0.7135320765166084 0.7095630803542929 0.31261424191649145 marital-status=Married-civ-spouse
0.07161483908527733 -0.02040282128248827 0.7307554776597209 0.6991132954699191 marital-status=Divorced
-0.2929146652991399 -0.1278399509192012 0.09096665264291759 0.8581041564016825 marital-status=Never-married
-0.1436248509099467 0.125715959228466 -0.6567849341995451 0.6250627718483424 marital-status=Separated
0.47856872552529284 0.7042873900527513 0.7039443927561857 -0.3446275682842497 marital-status=Widowed
0.3530818927280175 0.05689944046420581 0.7399516113269649 -0.16647117759888652 marital-status=Married-spouse-absent
0.10746472754848435 0.7401447001416164 0.15243879219802503 0.5322886087957603 marital-status=Married-AF-spouse
0.9220652998926835 0.7727389942372884 -0.9505660761908634 -0.11916838036402955 occupation=Tech-support
-0.7031877691307598 -0.011289660140685331 -0.4479385856204541 -0.3195322689916189 occupation=Craft-repair
0.004231694607287784 0.15029045332556845 -0.8372709424047018 -0.37021539467745024 occupation=Other-service
-0.9195462037006454 0.675396279528732 -0.2114306481367243 -0.587410789925003 occupation=Sales
0.5521353933189499 0.32493050893343023 0.009363763552051374 -0.8178384062514581 occupation=Exec-managerial
-0.6821330418426335 -0.36469919296372244 0.6727975905968102 -0.5871392765754 occupation=Prof-specialty
0.4505668187859737 -0.9300610446865192 0.8736766715083297 0.656582216868483 occupation=Handlers-cleaners
-0.11049244350711152 0.009293450905425438 0.08110612500054448 0.8212621599270449 occupation=Machine-op-inspct
-0.691868494520304 -0.19693618671806012 0.05983975507910522 -0.8926810336237185 occupation=Adm-clerical
0.604362172474135 0.41367460518342103 -0.8898647831169169 0.8870772256759778 occupation=Farming-fishing
-0.936229684086735 -0.6501679752255418 -0.2808023441235139 -0.04218791575174907 occupation=Transport-moving
0.05873841105089439 -0.40321910666809146 -0.12044039555375186 -0.02348518031393665 occupation=Priv-house-serv
-0.4914785519869249 0.7639356515390374 -0.7763809593395963 0.493861584799713 occupation=Protective-serv
0.7106293084038091 -0.9617325234456724 -0.4942702287248746 0.43270077052707734 occupation=Armed-Forces
0.739061927976177 0.2763051697782848 -0.07455943525138098 0.5634302309301593 relationship=Wife
0.5014089535671729 0.6236547782121904 -0.4070195058789634 -0.5450026716236831 relationship=Own-child
0.1829550527487993 -0.22064430400571222 0.5918265491932502 -0.468112730703764 relationship=Husband
-0.25845735085314825 0.3540972733502672 0.5296083448052284 0.8607536818964983 relationship=Not-in-family
-0.10540891432740707 -0.35449024310573596 0.12373233072974288 0.6437313930414699 relationship=Other-relative
-0.5139351352710884 0.7264804392977118 0.14497028385802802 0.6697151199988334 relationship=Unmarried
0.8253011803298325 -0.34515368428413473 0.5331621430483879 0.676002253246357 race=White
-0.9033120876707306 0.9203928990358814 0.6269634635770847 -0.9558086243488344 race=Asian-Pac-Islander
0.512068543569558 -0.5777583194148155 0.5043169824281064 -0.4023932817061264 race=Amer-Indian-Eskimo
0.48968638227287276 -0.9839771691073684 -0.20928392138938223 -0.35727973222935705 race=Other
0.6789209260562308 0.05754639713686305 0.4330549498388214 0.8667926987982213 race=Black
-0.897444338980647 -0.8183949025579744 -0.8637210246892983 0.09862613864082892 sex
-0.5430204572112245 -0.5176783800265996 0.634593132857403 -0.9686094403272567 capital-gain
-0.19049900109210882 -0.06703836737645275 0.973356619767602 -0.40391985937019137 capital-loss
-0.0619729250883605 0.5138300893737098 -0.2774081565274773 0.9998497308922341 hours-per-week
-0.1610263476917564 0.2844530401550873 -0.9062092053925539 -0.3552134067705861 native-country=United-States
0.4983604483416251 -0.30701778785005107 0.06593604687689436 -0.686584595474754 native-country=Cambodia
-0.3101339979908766 0.7650543654295145 0.9380028506283324 -0.30873753371674817 native-country=England
0.4618699940505331 -0.9093338096484396 0.07618682918158037 0.09016187538788278 native-country=Puerto-Rico
0.6320069383648426 -0.9686974151792802 -0.6384500106951023 -0.5278907178329375 native-country=Canada
-0.8077366279541003 -0.27951653590085135 0.0035777612710261586 -0.8195895426627005 native-country=Germany
-0.3321046043329061 0.1177997717735706 -0.5747491624304712 0.6162170004330911 native-country=Outlying-US(Guam-USVI-etc)
0.3738825867773119 0.4907596689745173 -0.6614000763327128 0.15195592266918712 native-country=India
0.9140698157810068 0.4543122007346583 0.10112261078999807 -0.6767488133422745 native-country=Japan
0.0996721500338098 0.15144294055829532 0.026912182896058123 0.7253948709725277 native-country=Greece
0.8512710438094737 0.6560462121599187 0.43204138638170764 -0.3489263633823996 native-country=South
-0.7441953363089409 -0.2299677179768269 0.9860533847033379 -0.5511676258100462 native-country=China
0.4430109491865184 0.051422910012047574 -0.9377752423768106 0.4821999624010793 native-country=Cuba
-0.32122521748112765 -0.22586644953112245 -0.8770188937422458 -0.9872680392749098 native-country=Iran
0.9139434962799797 -0.9781211530912235 0.7562356835859629 0.3375184422166282 native-country=Honduras
0.5472008430381947 0.42701531606025056 0.7328350499041136 0.46630750776886054 native-country=Philippines
0.22544636308217547 0.8444101859984545 0.6653587237719452 -0.6259482190324672 native-country=Italy
0.62313795000761 0.18826690473033048 -0.8662120099763666 0.5445264448520677 native-country=Poland
-0.2698060920431755 0.9845109864674038 -0.16770742351834622 0.9335488098895828 native-country=Jamaica
-0.7763259879148854 0.21724285307484004 0.26391796589254324 0.7186388107086981 native-country=Vietnam
0.9056326674498016 0.10085483031786624 -0.5702198661539546 -0.5275842224095246 native-country=Mexico
0.4114692395785826 0.2965455738442202 -0.8815226162190495 -0.1564371955023851 native-country=Portugal
0.764793691141473 0.5907955694376601 -0.781051879777287 -0.5455491576380482 native-country=Ireland
-0.1475310152860081 0.7117489815248057 -0.9942325366152864 -0.6759222265181686 native-country=France
0.8596874073694607 0.8060321380913651 -0.06710780840353103 -0.5392045399838816 native-country=Dominican-Republic
0.39129418435713004 -0.32146599999672665 -0.9056922094747102 0.5214978145889015 native-country=Laos
-0.4032356053483952 0.36036265240780296 0.015813851537344714 -0.7175192713758018 native-country=Ecuador
0.712050320237144 -0.6527105341665818 0.3416458771189379 0.16745796953993453 native-country=Taiwan
-0.22402111247517187 -0.22264189246661537 -0.8155702533568008 0.807187360752591 native-country=Haiti
-0.16198519897081876 -0.6428370401476486 -0.8542625030610274 0.3670362515354866 native-country=Columbia
0.27650600444972695 -0.5927197846436725 0.4643263007463809 0.07187473143997436 native-country=Hungary
-0.18736995333534212 -0.4930774297276219 0.7343673315714891 -0.5837067727420182 native-country=Guatemala
-0.8939754828692459 -0.31682738490417717 0.05855939066747751 0.6865289951618971 native-country=Nicaragua
0.11245814668444032 -0.9595521783565519 0.9788321811566452 -0.782665160670426 native-country=Scotland
0.6008270228006749 -0.22947436017448042 0.029494976778761783 -0.017548795466707734 native-country=Thailand
0.36750989392825795 -0.97690016450469 0.8385943045435413 -0.8336746574937284 native-country=Yugoslavia
0.4362512818101161 0.1592798869910419 0.24928970852404286 0.523517320190171 native-country=El-Salvador
-0.7158369032855632 -0.44423289092020957 -0.351405464222593 -0.33310595640085916 native-country=Trinadad&Tobago
0.8376760046096223 0.1984464076371375 0.3624124937653608 -0.8557901439129865 native-country=Peru
0.5404956818144595 0.4114337204249294 0.8664091371712028 0.06472777441753874 native-country=Hong
0.5594878631518168 -0.2891926450311346 0.09934954882977465 0.3287108567607693 native-country=Holand-Netherlands
Hidden Weights:
0.021714058797201785 -0.5875484402994169
-0.8422214587412362 -0.2904940892989565
-0.1863631610412919 -0.8674699488839788
0.21403415145898608 -0.10606481808314183
>50K <=50K
Error sum for iteration 100 = 826.3418374856484
Error sum for iteration 200 = 829.9594688572255
Error sum for iteration 300 = 829.7740350344293
Error sum for iteration 400 = 826.4687511032082
Error sum for iteration 500 = 817.8091134727387
Error sum for iteration 600 = 810.8196436424428
Error sum for iteration 700 = 810.6938669996514
Error sum for iteration 800 = 817.2802648599528
Error sum for iteration 900 = 826.567434556844
Error sum for iteration 1000 = 833.119943300648
Error sum for iteration 1100 = 837.1147075923409
Error sum for iteration 1200 = 839.6846204396926
Error sum for iteration 1300 = 841.9817507479403
Error sum for iteration 1400 = 844.4874872605144
Error sum for iteration 1500 = 846.2362807865717
Error sum for iteration 1600 = 846.4201283642273
Error sum for iteration 1700 = 845.2875602183658
Error sum for iteration 1800 = 843.3707306984599
Error sum for iteration 1900 = 841.1801825982836
Error sum for iteration 2000 = 838.9622951348921
Error sum for iteration 2100 = 836.7934553172688
Error sum for iteration 2200 = 834.7417155203656
Error sum for iteration 2300 = 832.8349706107691
Error sum for iteration 2400 = 831.0764904431305
Error sum for iteration 2500 = 829.4194091268308
Error sum for iteration 2600 = 827.8528220290478
Error sum for iteration 2700 = 826.3443087365844
Error sum for iteration 2800 = 824.8751701019024
Error sum for iteration 2900 = 823.4045996735908
Error sum for iteration 3000 = 821.9155015703357
Error sum for iteration 3100 = 820.4034017179893
Error sum for iteration 3200 = 818.891716338561
Error sum for iteration 3300 = 817.4080467691437
Error sum for iteration 3400 = 815.9767773421152
Error sum for iteration 3500 = 814.6095330205252
Error sum for iteration 3600 = 813.3124774892639
Error sum for iteration 3700 = 812.0837293152981
Error sum for iteration 3800 = 810.9102470329092
Error sum for iteration 3900 = 809.7763450228963
Error sum for iteration 4000 = 808.6720939814318
Error sum for iteration 4100 = 807.5882177435951
Error sum for iteration 4200 = 806.5229120289629
Error sum for iteration 4300 = 805.4678624063239
Error sum for iteration 4400 = 804.4183946117494
Error sum for iteration 4500 = 803.3642276156523
Error sum for iteration 4600 = 802.2974296222587
Error sum for iteration 4700 = 801.2021837069605
Error sum for iteration 4800 = 800.0691836648789
Error sum for iteration 4900 = 798.9153255520479
Error sum for iteration 5000 = 797.7225667443751
Error sum for iteration 5100 = 796.4764475498405
Error sum for iteration 5200 = 795.1831433305174
Error sum for iteration 5300 = 793.8299532188443
Error sum for iteration 5400 = 792.3929616032887
Error sum for iteration 5500 = 790.8418680192954
Error sum for iteration 5600 = 789.1390825242697
Error sum for iteration 5700 = 787.2590989826957
Error sum for iteration 5800 = 785.1993214950793
Error sum for iteration 5900 = 782.9632042076049
Error sum for iteration 6000 = 780.5732993643056
Error sum for iteration 6100 = 778.0835946164208
Error sum for iteration 6200 = 775.5408865054982
Error sum for iteration 6300 = 772.9807981620199
Error sum for iteration 6400 = 770.4205742216999
Error sum for iteration 6500 = 767.8837818584161
Error sum for iteration 6600 = 765.3863891840645
Error sum for iteration 6700 = 762.9401114352024
Error sum for iteration 6800 = 760.5616882600688
Error sum for iteration 6900 = 758.2527143548785
Error sum for iteration 7000 = 756.0155352452075
Error sum for iteration 7100 = 753.8525144952945
Error sum for iteration 7200 = 751.7608489807152
Error sum for iteration 7300 = 749.7408820284331
Error sum for iteration 7400 = 747.7929505889525
Error sum for iteration 7500 = 745.9163774815104
Error sum for iteration 7600 = 744.103120547194
Error sum for iteration 7700 = 742.346301731783
Error sum for iteration 7800 = 740.6419057128888
Error sum for iteration 7900 = 738.9927646047119
Error sum for iteration 8000 = 737.3953537523628
Options: -I 8000 -H 4 -E 0.0112 -M 0.0445
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 4
Number Output Nodes: 2
-I 8000
-E 0.0112
-S 1805502473
-H 4
-M 0.0445
Input Weights:
-9.031687484102982 -1.2194588409355005 6.555002442545317 -4.136659218691583 age
0.9175441097667675 0.815100095569443 -1.8061321835511945 -0.5221451168568092 workclass=Private
-1.5367230207333236 -0.5365742173102227 1.9058099065583787 2.548376822080008 workclass=Self-emp-not-inc
2.2322759093185573 -0.012453074015515892 -3.4482868709729524 -1.409884111751666 workclass=Self-emp-inc
-0.7345832673157784 -3.432055228258223 -0.11041531849993967 -1.0047447034611285 workclass=Federal-gov
0.3789889104414027 1.0019466090517952 0.4016412275555352 1.6598044184362044 workclass=Local-gov
2.4851904663253213 -1.016926776270781 0.07758199176254306 2.5976385110342246 workclass=State-gov
-0.13869981298715836 -0.3904376210979196 -1.0922324040219449 1.0756013810389171 workclass=Without-pay
0.5681233113350114 0.7409674719333522 0.15425532818917323 0.4656951783077109 workclass=Never-worked
-6.82999789310667 3.103830977153839 5.962338087436405 -1.5322476722624783 fnlwgt
-2.587548636050896 -1.0452058212540685 1.539705094533498 -0.9649073522914438 education=Bachelors
1.3705805239865616 -1.1615304399269415 -1.2288741038997286 0.981585603887063 education=Some-college
1.4458007764759244 -1.2324188147831387 1.4974830452219108 5.102805766282891 education=11th
1.5919617120221847 -0.36710843512821756 -1.5069388386590659 0.6168380388666429 education=HS-grad
-2.2803537118251764 0.11263131861154256 1.9083576988161177 -2.6274931026372474 education=Prof-school
1.9392514153554195 -1.6778097750253396 -2.6398486212226357 0.01757618296940926 education=Assoc-acdm
-0.2637542706294735 -0.3552760485814787 1.351267264050007 1.4674247241542988 education=Assoc-voc
-1.30085555907419 -4.055182298848068 -1.4539673921050038 0.5936765207030006 education=9th
-3.040775528349291 0.9818782708988953 -0.3266417018309451 -1.229295344887263 education=7th-8th
4.171616731196142 1.582753972322463 -0.8033058453795714 5.213203234906248 education=12th
1.143440979530389 -0.3751485900913193 -2.335906664491304 -1.3674461330805412 education=Masters
0.3453042808116072 -0.3064785649550874 -2.856945471782039 2.6356020571170458 education=1st-4th
-1.5791308146098726 1.7745513336303593 0.13951570967421842 -0.4599999049416186 education=10th
0.39305289371465857 0.47631202056971417 1.866133959706961 0.19086550154997847 education=Doctorate
3.4900245191926738 -3.022428256812642 -0.45757697253198204 -0.026509503315415097 education=5th-6th
-0.40577593582636107 -0.1702452899355043 0.015503785465598514 1.3077056584376898 education=Preschool
-0.793408445857719 0.23568880324381503 2.4869034462659405 -2.6717374344584948 education-num
-2.486942254520243 -3.7197793013854508 1.9889806216266148 -4.140024091520489 marital-status=Married-civ-spouse
-0.226753274353516 2.01478638042768 0.5796661155424019 1.3822097105260074 marital-status=Divorced
2.8233227572305397 -0.010028404278412763 -2.7423972760562916 2.0034033633449675 marital-status=Never-married
1.5536771388576358 1.6842505355869324 -0.0772330995554369 0.9063997712377659 marital-status=Separated
-0.5599306411231165 -0.14236149080219235 0.8161757145383891 1.0194488416548722 marital-status=Widowed
2.7418222417861626 -0.8921048125655824 -1.5401860220454622 5.082636102505491 marital-status=Married-spouse-absent
0.2914631672692021 -0.16868997949935965 -0.19320855049008986 0.9652409664399811 marital-status=Married-AF-spouse
-2.514038385568238 -0.21388420575187497 0.9811945720829244 -1.767780798366949 occupation=Tech-support
0.4626038047851905 -0.7787987609094768 -0.8837884590202816 0.13836958918652367 occupation=Craft-repair
1.5366962616514177 -1.405720798705921 -2.146129764570912 1.125393410075965 occupation=Other-service
-1.2715638790108479 0.404875471792229 0.6217573561270814 -0.48956766703930293 occupation=Sales
2.3457577460546806 -0.7559649823163026 -2.744837378820938 -1.2809476296180322 occupation=Exec-managerial
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1.7068363099467943 -1.2883980612325774 -2.141416662047884 0.7451165591195726 occupation=Machine-op-inspct
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1.42482502741989 5.635689983038606 1.3221423034930517 -0.11848346330048949 relationship=Wife
-1.0346833677172234 -2.471891812246265 -1.1665114712164206 1.5250192146981703 relationship=Own-child
1.14165129849889 2.8879039691841557 -0.5331525365377106 1.685801071118925 relationship=Husband
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0.029327849705356006 -2.9743081294298603 -0.6344088095473045 2.2161412276314714 relationship=Other-relative
1.7257086807811144 -2.468173621253313 -1.9489552357688489 1.0205476012608148 relationship=Unmarried
0.9232793038247994 -0.48315375048048304 -0.7500175207989924 -1.8007691953947922 race=White
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1.108202701718264 -2.623568060551314 -3.084057643286633 3.548387240141177 race=Other
2.924578282100072 0.008605308595293723 -3.1510803238630296 -1.9169565944859965 race=Black
0.37867185503481704 -2.639981848157708 -0.8505083929765231 0.3765072303618691 sex
1.9650349933878537 -5.11585178255828 7.132632650902854 -1.3378633623550147 capital-gain
2.6233630984881255 0.7777088022397199 1.1866319362805884 -1.9805690075638085 capital-loss
1.7652327848075353 5.567753326051706 1.5125296326699749 -4.29250946089948 hours-per-week
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0.7818975936259553 2.4112094519571188 -2.881028507429469 -0.5299913554854422 native-country=England
1.7603682097096216 -1.5748503179486801 1.5695186340663587 1.2931964916352041 native-country=Puerto-Rico
1.0172943372916483 -2.283905674343692 0.021839155066239926 -0.07190704328520708 native-country=Canada
0.6448260768028563 0.7646694338402261 0.2838691858911307 -0.6428724914471793 native-country=Germany
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3.1279037005335404 0.4088933462207317 3.357111171158569 4.1875833287614785 native-country=Greece
2.5138484191331862 1.86605793288011 -0.28757578529513994 -0.5571323296130702 native-country=South
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1.064713386620233 -1.8039657182437108 2.0028730558425525 -0.1906981381430403 native-country=Portugal
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1.3169176093315595 -2.660673887783416 1.3790100128666902 0.6545985999859263 native-country=Dominican-Republic
0.4634972506625204 -0.28272103836432083 -1.6895031844465729 1.0409456543360793 native-country=Laos
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0.581788201836303 -2.2559738273657928 -2.665625345983333 -1.9732621137162154 native-country=Taiwan
-0.2246633703397857 0.41306558850312164 -1.805561923607685 2.3203934169702625 native-country=Haiti
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0.46353630379317506 -0.7259997655557388 0.2217237961345311 0.3854234204824506 native-country=Hungary
0.6388457850470631 -0.41488202584032413 0.6832986925727458 -1.345598245332453 native-country=Guatemala
-1.193776443052294 -0.42622434690584726 -1.904184286866488 1.2024896742848163 native-country=Nicaragua
0.2684207615709269 -1.0180870428363504 0.3472583570843487 -0.15731999704252422 native-country=Scotland
0.37411160483843015 -0.7604124961928737 -0.6154726179044621 -0.5253220969777214 native-country=Thailand
0.13246777072953855 -1.0415622801967412 -0.5227103567173389 1.6710869193654498 native-country=Yugoslavia
-0.707963518576012 -0.22612972204981238 0.6418667781076991 2.4406003487069974 native-country=El-Salvador
-0.3532993315686991 0.12107962931632879 -1.3283739780725388 0.8574572174328254 native-country=Trinadad&Tobago
1.8672049858969773 2.325758780580656 -0.632635600801758 0.22963645017438464 native-country=Peru
0.6371540706779826 0.5539771450193683 0.15078002902950507 0.3964413574642711 native-country=Hong
0.7465181624950253 -0.42247262594355844 -0.14325295578212957 0.6422595458033155 native-country=Holand-Netherlands
Hidden Weights:
4.7613058220874205 -4.761305822087419
-9.01566497543065 9.01566497543065
4.813618538610622 -4.813618538610625
-3.5351316011477025 3.5351316011477025
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4356 86.8594 %
Incorrectly Classified Instances 659 13.1406 %
Mean absolute error 0.2512
Root mean squared error 0.3182
Relative absolute error 68.0347 %
Root relative squared error 74.0502 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
931 294 | a = >50K
365 3425 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13264 81.4692 %
Incorrectly Classified Instances 3017 18.5308 %
Mean absolute error 0.2793
Root mean squared error 0.3592
Relative absolute error 76.4806 %
Root relative squared error 84.5408 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2488 1358 | a = >50K
1659 10776 | b = <=50K
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