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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 3
Number Output Nodes: 2
-I 8000
-E 0.0112
-S 1795827094
-H 3
-M 0.0445
Input Weights:
0.8618106449724243 0.14522871369576684 -0.21496208161659647 age
0.8031982485174283 -0.5428835143549195 0.6633307880878792 workclass=Private
0.8782329730691132 -0.6211331046989523 0.4384509849826268 workclass=Self-emp-not-inc
-0.34091194075333275 -0.17407766247083378 0.9308178509579372 workclass=Self-emp-inc
-0.6841162174510012 -0.24595107000254934 0.15411606633790131 workclass=Federal-gov
0.4355593312831283 0.8283087508171478 0.5008753516295332 workclass=Local-gov
0.525225609845041 0.23300952802876473 -0.365954100088548 workclass=State-gov
-0.17054582454801315 -0.878282993991734 0.14468923428564207 workclass=Without-pay
-0.4070890797309794 -0.08850779580275225 -0.9308937091384002 workclass=Never-worked
0.9641970260124575 0.39309421650853493 -0.04556991938717636 fnlwgt
-0.6362891635088666 -0.541032444593504 0.3199107894792048 education=Bachelors
-0.6721998150472543 0.14341093557926943 0.08182581440075487 education=Some-college
0.5934252745498552 0.6244027123776899 -0.2068497482899847 education=11th
-0.49799308113313967 0.854136105327979 -0.6051742630409027 education=HS-grad
0.6780873977560868 -0.43460452711899866 0.5836693977774594 education=Prof-school
0.37788473938051914 -0.45651676866226576 0.8726677587717779 education=Assoc-acdm
0.9047738459923744 0.25848505175143277 0.952602699987241 education=Assoc-voc
-0.9468185242583529 0.22023893216802115 -0.9403386738918846 education=9th
0.6693347385559774 0.7484520162577113 0.7118825938967883 education=7th-8th
0.10675657682760487 0.24298734499183472 -0.6020010638090072 education=12th
-0.39364576250567174 -0.5055798681449393 -0.4145677305748896 education=Masters
-0.5546000617397375 0.09254247537518512 -0.24009172229448272 education=1st-4th
-0.9233439876916354 -0.4294277154408832 0.1173552761268859 education=10th
0.41835100480543996 0.5654010336906121 0.9994574879170086 education=Doctorate
0.9576641396525338 0.9792932794776137 0.1974349889678888 education=5th-6th
0.39483078647453596 -0.10397184090473521 -0.15567317021953953 education=Preschool
0.18193376400579364 -0.16544803514082496 0.7742559751104747 education-num
0.4998985103247462 -0.18421105390582748 -0.05214186707909052 marital-status=Married-civ-spouse
-0.03083712749372758 -0.3266650701471321 0.8262600249241709 marital-status=Divorced
-0.2960533062348958 0.056337712683269814 -0.57830480244128 marital-status=Never-married
-0.8030021441049797 0.6529445978668849 0.16104911124751475 marital-status=Separated
0.9611458398241033 -0.6947221792153317 -0.3306722579443968 marital-status=Widowed
-0.14405404780262598 0.8919739786211756 -0.8867518853780161 marital-status=Married-spouse-absent
-0.40784798135450884 -0.8780953414790051 0.8408508861613209 marital-status=Married-AF-spouse
-0.9662938426973982 0.7127708262765855 0.7112395040183621 occupation=Tech-support
0.6063898022666971 -0.17915601590631858 -0.27074696624104355 occupation=Craft-repair
0.37423183318079856 -0.9567966375728085 -0.6169174425433572 occupation=Other-service
0.1592226099524272 -0.16860180389146295 0.4285447879386308 occupation=Sales
0.45683735785692114 -0.2644595247488284 0.7719296249641954 occupation=Exec-managerial
0.8393235122831746 0.5404134900727147 0.5740407936220733 occupation=Prof-specialty
0.040661079305455594 0.06025838969412267 -0.2687476688023134 occupation=Handlers-cleaners
0.981558387358404 -0.8735205324714004 0.4851076919108859 occupation=Machine-op-inspct
0.6197969918914119 0.13258697329989966 0.07018916219103577 occupation=Adm-clerical
0.7006948796455141 0.39327476849634024 -0.9693094864854148 occupation=Farming-fishing
-0.7655915742987394 0.529607389440834 0.11932824252572538 occupation=Transport-moving
-0.15875179453185395 -0.8901296020013201 0.5379293096232751 occupation=Priv-house-serv
0.9831350498024163 -0.14428560332714868 0.6872370007054911 occupation=Protective-serv
-0.46122198437583695 0.865803616985231 -0.4358200877970493 occupation=Armed-Forces
-0.8178930880914403 0.5142549910661871 0.4780512028283652 relationship=Wife
-0.4120527153789364 -0.05126499279699104 0.8527496833051378 relationship=Own-child
-0.38412319941175976 -0.5568431756523313 0.5404361997275067 relationship=Husband
0.3126567962692217 -0.7474991498265369 0.2926624284909314 relationship=Not-in-family
-0.17441527300014448 -0.9276421884167985 -0.18176702801807698 relationship=Other-relative
0.13356719349851942 -0.2766265254736888 -0.797236710742349 relationship=Unmarried
0.8796657675869688 0.2608504655445576 0.37310075998607073 race=White
0.5283211637609595 -0.6476575877950104 0.7604777150623692 race=Asian-Pac-Islander
-0.42758533761429285 -0.5288473155865159 -0.6505301977474021 race=Amer-Indian-Eskimo
0.5797783388324358 0.22122822803247932 -0.10446447645436896 race=Other
-0.5042807104532894 0.9390179786242729 -0.7478844629964629 race=Black
-0.1924244153156207 0.6104419972627744 0.4689741048461369 sex
-0.07072431943351898 -0.9038026447638774 0.6066680733462753 capital-gain
0.4783247685001353 -0.32379709344564134 0.057731584894603394 capital-loss
-0.005403318070566376 -0.9959344970902722 -0.42663190662548334 hours-per-week
-0.9102393959990172 0.7050260738224516 -0.8348558921142859 native-country=United-States
0.01812744919614584 -0.9440762508008289 -0.4156171724222111 native-country=Cambodia
-0.7758482798609003 -0.5467062968436844 0.1776582167291405 native-country=England
0.5487796557216873 0.7057922395184517 0.5749936374287403 native-country=Puerto-Rico
0.4662861983167137 0.5797215063456127 -0.11192791065280616 native-country=Canada
-0.024802919501115017 0.48150376479024537 -0.12103140578796356 native-country=Germany
0.5813455129502869 -0.3214667461176315 -0.09438257081604218 native-country=Outlying-US(Guam-USVI-etc)
0.18806551529284987 0.03991220867687173 -0.6415681289138326 native-country=India
0.6479781354401353 0.921155699906909 -0.2268054690029233 native-country=Japan
0.23277850817220735 0.5220272814418414 -0.16145724370331216 native-country=Greece
-0.6581139341879252 0.8142468184701381 0.11207331867485637 native-country=South
0.39777264356258324 -0.03411108632668847 0.41729677508445495 native-country=China
-0.9347633601237324 -0.9181308663554757 -0.38562731756524693 native-country=Cuba
-0.3161559303571244 -0.9650068889717256 0.7207614152830009 native-country=Iran
-0.8827882414172352 0.17962139378054798 0.20363068862848843 native-country=Honduras
0.09975867680884698 0.820082211095132 0.6740587504335076 native-country=Philippines
-0.3989924420288229 -0.5514594636462469 -0.8162219955889691 native-country=Italy
-0.2705308271558331 0.9721120140857327 0.8584078577428766 native-country=Poland
0.2625968303067423 0.416586821170122 -0.3031729938094505 native-country=Jamaica
-0.9837491226218475 0.9242078194836936 -0.975460839199414 native-country=Vietnam
0.9565661568177728 0.25552439129930415 -0.690410296121873 native-country=Mexico
-0.7909311594795922 -0.5395773698783719 0.832793341060087 native-country=Portugal
0.9343414782370698 0.9010097967767108 -0.9502640485234641 native-country=Ireland
0.4164893152456648 0.38910930249435816 -0.6097825006566038 native-country=France
0.6501131247891312 -0.15629891682928942 -0.2884947600603629 native-country=Dominican-Republic
-0.7865528695634172 0.5787195620540271 0.6549705110200625 native-country=Laos
0.27977413613386504 -0.9007999752405744 0.7513842729986067 native-country=Ecuador
0.24618251569844807 -0.8861575479442665 0.2783509862760605 native-country=Taiwan
-0.3518165855507174 -0.6353604767319256 -0.4059371380726742 native-country=Haiti
0.7806589993593427 0.8292941661241251 -0.04524074241685372 native-country=Columbia
0.7600665725884008 0.8697293628589682 -0.33101943653944166 native-country=Hungary
-0.36022456096860145 -0.019927585745138865 -0.1500931793146072 native-country=Guatemala
0.6298673466961748 0.9300722082146626 -0.0022231200406843676 native-country=Nicaragua
0.47468450650128435 0.3049876151480875 0.17758514295175898 native-country=Scotland
0.6058611984253153 0.7105628724935902 -0.34704307550361135 native-country=Thailand
-0.1844700140290334 0.24178306621003287 -0.5046933753385252 native-country=Yugoslavia
0.8838444380728046 0.20668278670216278 0.9080856530785117 native-country=El-Salvador
0.8469156693528865 0.5515569950674817 -0.21086979178361331 native-country=Trinadad&Tobago
-0.5942889548810701 0.9515028015708025 -0.6001771501998012 native-country=Peru
0.3534181629371136 0.11029895685561653 0.9179837502947927 native-country=Hong
0.8382294297058834 0.4562062385767196 0.12211150520972058 native-country=Holand-Netherlands
Hidden Weights:
0.7671436865065409 -0.17266777949142087
0.5728318183857488 -0.9155217507575439
-0.4653801436576199 -0.2742472508146445
>50K <=50K
Error sum for iteration 100 = 820.0917356061268
Error sum for iteration 200 = 821.1029228607803
Error sum for iteration 300 = 818.1071992075221
Error sum for iteration 400 = 808.3249590674569
Error sum for iteration 500 = 804.7737295071694
Error sum for iteration 600 = 808.0418797669593
Error sum for iteration 700 = 811.2826152769476
Error sum for iteration 800 = 810.7479521217446
Error sum for iteration 900 = 806.4080694116319
Error sum for iteration 1000 = 800.1148955819267
Error sum for iteration 1100 = 793.1206002811884
Error sum for iteration 1200 = 785.8182502842866
Error sum for iteration 1300 = 778.4538099198965
Error sum for iteration 1400 = 771.3498508900606
Error sum for iteration 1500 = 764.7480149413923
Error sum for iteration 1600 = 758.7560198704451
Error sum for iteration 1700 = 753.4230165277173
Error sum for iteration 1800 = 748.7387706928517
Error sum for iteration 1900 = 744.6949135614434
Error sum for iteration 2000 = 741.2660062457184
Error sum for iteration 2100 = 738.3875133813452
Error sum for iteration 2200 = 735.912678231861
Error sum for iteration 2300 = 733.6768462476207
Error sum for iteration 2400 = 731.5213618322049
Error sum for iteration 2500 = 729.3431689603157
Error sum for iteration 2600 = 727.1203035983402
Error sum for iteration 2700 = 724.8781820072787
Error sum for iteration 2800 = 722.6713389663678
Error sum for iteration 2900 = 720.5272788614514
Error sum for iteration 3000 = 718.4428983595762
Error sum for iteration 3100 = 716.3673371692349
Error sum for iteration 3200 = 714.2069595582033
Error sum for iteration 3300 = 711.9437052588833
Error sum for iteration 3400 = 709.5808632728664
Error sum for iteration 3500 = 707.1530341029774
Error sum for iteration 3600 = 704.6884649739404
Error sum for iteration 3700 = 702.209523763816
Error sum for iteration 3800 = 699.7353190521247
Error sum for iteration 3900 = 697.2944337237566
Error sum for iteration 4000 = 694.8808030146204
Error sum for iteration 4100 = 692.5048992549908
Error sum for iteration 4200 = 690.1696690680883
Error sum for iteration 4300 = 687.8770002081073
Error sum for iteration 4400 = 685.6392635763658
Error sum for iteration 4500 = 683.4674446133132
Error sum for iteration 4600 = 681.3757015848182
Error sum for iteration 4700 = 679.3820846074743
Error sum for iteration 4800 = 677.5095766875488
Error sum for iteration 4900 = 675.7786067336375
Error sum for iteration 5000 = 674.1890030738305
Error sum for iteration 5100 = 672.6966363186699
Error sum for iteration 5200 = 671.2076356313765
Error sum for iteration 5300 = 669.6530224634951
Error sum for iteration 5400 = 668.0081989483112
Error sum for iteration 5500 = 666.3281644792924
Error sum for iteration 5600 = 664.6523448715684
Error sum for iteration 5700 = 663.0045183521157
Error sum for iteration 5800 = 661.3837654760939
Error sum for iteration 5900 = 659.7947928116404
Error sum for iteration 6000 = 658.2381593893941
Error sum for iteration 6100 = 656.7134546298824
Error sum for iteration 6200 = 655.21976975325
Error sum for iteration 6300 = 653.7550162684162
Error sum for iteration 6400 = 652.3182725800852
Error sum for iteration 6500 = 650.9133385470843
Error sum for iteration 6600 = 649.5357018865574
Error sum for iteration 6700 = 648.1827010435596
Error sum for iteration 6800 = 646.8524812760678
Error sum for iteration 6900 = 645.5409661188204
Error sum for iteration 7000 = 644.2453489146864
Error sum for iteration 7100 = 642.9629962792377
Error sum for iteration 7200 = 641.690552749961
Error sum for iteration 7300 = 640.420892876179
Error sum for iteration 7400 = 639.1527300412208
Error sum for iteration 7500 = 637.8846096114313
Error sum for iteration 7600 = 636.6132100416788
Error sum for iteration 7700 = 635.3414120802121
Error sum for iteration 7800 = 634.0676928995798
Error sum for iteration 7900 = 632.7911097216193
Error sum for iteration 8000 = 631.5133899129072
Options: -I 8000 -H 3 -E 0.0112 -M 0.0445
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 3
Number Output Nodes: 2
-I 8000
-E 0.0112
-S 1795827094
-H 3
-M 0.0445
Input Weights:
2.849466624348605 -5.273244942489507 -3.4943562991659687 age
-3.737656247926707 -2.247273288252036 4.051583412679752 workclass=Private
-0.436992321858318 6.00292002437015 1.7860711013673933 workclass=Self-emp-not-inc
-2.8929383907371498 -3.503526380425961 3.6163620132014413 workclass=Self-emp-inc
3.777553416876596 -1.476602726231261 -5.511041419417162 workclass=Federal-gov
-0.45538105145833263 6.223254586950129 2.4425085641123325 workclass=Local-gov
2.2437763441348078 1.8091062002053386 -1.6059044591159193 workclass=State-gov
-0.233851217881957 -0.36516655205464404 0.3978248605131297 workclass=Without-pay
-0.6192311896514515 0.43440699961257123 -0.7501551826619619 workclass=Never-worked
1.2344710302913866 -1.4215987739946983 -2.4924981463157163 fnlwgt
-2.1657658888890157 -0.9259579381724725 3.7902398630544605 education=Bachelors
-0.5840770169226617 1.1882803272982274 0.45945014352582103 education=Some-college
0.5435823607545384 7.286458766849803 1.65915423427178 education=11th
-1.750194799492529 0.7380615134852273 2.07604985602219 education=HS-grad
3.5046683554945384 -4.04369050623967 -6.047629195111862 education=Prof-school
0.1658065166334071 0.6585777086383499 0.6298152237188908 education=Assoc-acdm
1.982990874566056 2.268083934703287 -1.8063602199443702 education=Assoc-voc
-1.7242093098473124 -0.4463487230216626 -1.6182066746902766 education=9th
2.0345033607117267 0.4665303933195717 -3.168455164552269 education=7th-8th
-1.7004371419259525 5.173911302232894 3.5089188470886006 education=12th
-1.833776963872273 -2.003428376281112 2.2538066210195904 education=Masters
-4.972852523613631 3.004657947092926 0.35708213008930384 education=1st-4th
-2.6466495684493685 0.3428820864258648 0.27168327415692334 education=10th
2.5595070456184206 -1.7480572327371202 -0.6441539011774218 education=Doctorate
1.9160735010946917 1.6875674315995481 3.9227742783287822 education=5th-6th
0.0556386681527212 1.1606431769084191 0.3656657548366525 education=Preschool
2.8897594038595247 -4.057004574648124 -1.7735637649379827 education-num
2.172361370668309 -6.353655933884316 -1.8206687642671842 marital-status=Married-civ-spouse
-1.1194905584173218 1.4823834893802603 0.45247891439571525 marital-status=Divorced
-2.8413195796363584 2.408108030712803 2.886872669028741 marital-status=Never-married
-1.993604826043043 2.3224495071488276 5.395614839655988 marital-status=Separated
2.316174235159909 1.033700750596946 -4.9567271276773095 marital-status=Widowed
-0.1975678737455881 6.133259032358377 -0.16493309329619868 marital-status=Married-spouse-absent
-1.739434673639402 0.3350396993426353 0.8987296688008282 marital-status=Married-AF-spouse
-0.17962107285102089 -1.5325984943346433 1.090925233975539 occupation=Tech-support
0.033370706357781096 0.8154299357054423 1.3621738043866 occupation=Craft-repair
-1.1272688196798477 0.04109460917988147 0.7722501725856483 occupation=Other-service
-0.06921653758361607 0.2394441156876023 1.4549106608724967 occupation=Sales
1.680915238471165 -1.3719008431355717 -0.9857867842576093 occupation=Exec-managerial
0.8296140033333725 -0.6023832350257673 -0.653765269767778 occupation=Prof-specialty
-1.0582345449878312 2.237493614900738 2.9158299186875736 occupation=Handlers-cleaners
1.1195554800109933 0.5241472321961753 -1.4847039063427152 occupation=Machine-op-inspct
-0.30323421664912903 0.4276957587447198 -0.14806516263451114 occupation=Adm-clerical
-1.3284797851848797 1.8561324207895018 0.3188630047605562 occupation=Farming-fishing
-1.0415027939225974 0.43833169324054594 0.5300014528283333 occupation=Transport-moving
-0.6675767443940223 3.465169516035209 0.47990696430722835 occupation=Priv-house-serv
1.6100309359018867 3.3065633234326612 0.37810879533343733 occupation=Protective-serv
-0.7554859594392148 1.4172715860683105 -0.23039683662118612 occupation=Armed-Forces
0.8356293882196432 1.477107101365181 3.0694642389458644 relationship=Wife
-1.4498223711110163 2.43768596229261 2.7895150534071376 relationship=Own-child
-0.07920539134978258 2.33500555908519 -2.3496265088657955 relationship=Husband
-1.17430108579806 -1.149189700892032 1.236038888936537 relationship=Not-in-family
-1.5305472377336315 0.1530694530158952 -1.0722226465712363 relationship=Other-relative
-0.9140031272321907 0.02150771985025635 0.042066120409363264 relationship=Unmarried
0.42584929195109994 -1.8726189507245232 -1.038118122790525 race=White
1.1279420430111313 0.6776443019973906 1.8271467707378268 race=Asian-Pac-Islander
1.738531203329005 4.675420745599717 -0.5021715696183562 race=Amer-Indian-Eskimo
-3.7166366058692883 4.82278540104379 -1.6633779045334296 race=Other
-1.2776341392788293 -1.2607473886969558 3.35682100824744 race=Black
1.461859606119977 -1.0995757866291602 -2.0254597850973655 sex
7.848674599934292 -2.6439930149429007 2.0688354956748274 capital-gain
1.5874582767060823 -1.5056451913566722 2.067394773581438 capital-loss
0.21413215234293487 -3.7714210715789798 6.420221800372667 hours-per-week
-0.9711247427924548 -3.1385637212919204 -1.086417080809048 native-country=United-States
5.306622028750783 -1.4153892212069297 -0.15457379164136328 native-country=Cambodia
-2.1565985934135985 -0.28591736746634894 2.3267955903501454 native-country=England
2.938519360409796 2.101671821294022 -2.9225980554021787 native-country=Puerto-Rico
2.9781944764890294 1.6106821606888388 -3.105819072551977 native-country=Canada
0.4224864214042986 -0.3358707979031922 1.1496037611839756 native-country=Germany
0.2548916899654893 0.38996954059434147 0.08039681211164436 native-country=Outlying-US(Guam-USVI-etc)
-3.670337370214657 0.1921911107908369 0.10071444145016259 native-country=India
-3.4517771492495153 2.718080174039881 -0.8070727495621791 native-country=Japan
-1.2713660086360241 4.254157119760207 4.472862780584593 native-country=Greece
-0.7995794190871255 2.9232667377909762 1.4707345782163874 native-country=South
-2.278163901461181 -0.262454579324258 -2.8379754618754127 native-country=China
-1.1540764343816594 2.8894537724649907 0.5596644901681997 native-country=Cuba
2.281347402343599 -2.253362905177518 2.5334112231703276 native-country=Iran
-1.4704265924114792 0.975666181769575 0.3604120287331425 native-country=Honduras
-1.2157784475359283 -0.1916797472143249 2.1853886869267 native-country=Philippines
0.407899220018065 -2.9130148545464074 -1.34586282348059 native-country=Italy
-1.1799130122415624 3.185227741241048 0.17823976794422092 native-country=Poland
3.4919399897339884 0.7437907522860149 0.1544582423350236 native-country=Jamaica
-0.8565492438183078 1.5916843436071884 -1.0579979932285202 native-country=Vietnam
-1.2473616224563806 2.854423376213845 4.743876938165047 native-country=Mexico
-0.35049587079704186 -1.3831504727095105 1.4021842576216823 native-country=Portugal
4.062389917600157 -0.5602970849721755 -0.21114272049084237 native-country=Ireland
0.34098091626575877 0.6300259836343967 -0.34177730514069055 native-country=France
3.450200535310576 1.386115749695852 -0.14499421675055316 native-country=Dominican-Republic
-1.3738152537187487 1.3083445239200187 0.825489867322885 native-country=Laos
-1.1548297234682714 0.5207267619868094 0.08264546696272455 native-country=Ecuador
-0.12466289444443614 -1.3819819681106096 0.5222763334960577 native-country=Taiwan
-1.763529399467258 1.2271476880159669 -0.297824144098088 native-country=Haiti
-1.283366906681436 5.872766957389915 -1.3919606506354356 native-country=Columbia
0.5479244626679642 1.3926441582739397 -0.15028091006302421 native-country=Hungary
0.5820985930119631 -2.7287515136088287 2.3884056968169802 native-country=Guatemala
-1.2184322650357726 2.122276835583169 -0.9503472129213194 native-country=Nicaragua
0.09253978533635611 0.9346525320262813 0.3404764363751433 native-country=Scotland
-0.1250245104087124 1.7187995331074568 -0.2114672678732439 native-country=Thailand
-0.7783643678035205 1.948215830769231 -0.8891465676234855 native-country=Yugoslavia
0.14062670062568447 3.6442360746676545 -2.426359708684081 native-country=El-Salvador
-0.21771190537199475 1.4445986775006165 0.0704257748928123 native-country=Trinadad&Tobago
-4.452895307852481 -0.7936656616361779 -0.0019557250453164 native-country=Peru
0.1227023155118948 0.6569442010146468 1.0982163174517932 native-country=Hong
0.6260873197854468 0.9791210339921588 0.30285003168626373 native-country=Holand-Netherlands
Hidden Weights:
4.926612793039544 -4.926612793039542
-2.4692113762789516 2.4692113762789503
4.288116223846754 -4.288116223846752
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4299 85.7228 %
Incorrectly Classified Instances 716 14.2772 %
Mean absolute error 0.2513
Root mean squared error 0.3198
Relative absolute error 68.0599 %
Root relative squared error 74.4295 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
811 414 | a = >50K
302 3488 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13411 82.3721 %
Incorrectly Classified Instances 2870 17.6279 %
Mean absolute error 0.2747
Root mean squared error 0.3537
Relative absolute error 75.242 %
Root relative squared error 83.2586 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2281 1565 | a = >50K
1305 11130 | b = <=50K
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