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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.0112
-S 1777777652
-H 2
-M 0.01
Input Weights:
-0.30871851205201106 -0.2033049977440211 age
0.9765145787836462 0.17988100562782483 workclass=Private
0.6485053908859677 0.9619014475303651 workclass=Self-emp-not-inc
0.9976912872664232 0.5864809002888374 workclass=Self-emp-inc
-0.6399537342635364 -0.13103398742633554 workclass=Federal-gov
0.4873577963838509 -0.8785818081913557 workclass=Local-gov
0.6073236684612489 0.19800890270945093 workclass=State-gov
0.02237507593754895 -0.6023399178860749 workclass=Without-pay
0.19522480239300255 -0.5713479961387158 workclass=Never-worked
-0.18787264250074154 -0.6067749322507907 fnlwgt
-0.017517547104844544 0.20783501883225042 education=Bachelors
0.9049391636277393 0.6808775867416379 education=Some-college
-0.6607500677776981 -0.11547359510320265 education=11th
-0.18395910701241847 0.27307002989940665 education=HS-grad
-0.10465005149989692 0.37814672655055137 education=Prof-school
0.5552036678233891 -0.22719713774349537 education=Assoc-acdm
-0.4248714063406025 0.5372153508322126 education=Assoc-voc
-0.8168886180136607 -0.20364879595532148 education=9th
0.31133780850218007 -0.204076471407878 education=7th-8th
0.078218642337327 0.02858792713869729 education=12th
-0.3351727429850566 0.500979360908044 education=Masters
0.8334610023856137 0.022252260593339956 education=1st-4th
0.36662987804974545 0.10487095337704644 education=10th
0.5016909853203728 -0.4609565888196838 education=Doctorate
0.9056002122117586 -0.5558993788365096 education=5th-6th
0.2408136395728493 0.2766914379762533 education=Preschool
-0.5868106539355735 0.5751619008511952 education-num
-0.6612599735578113 -2.5152620081492216E-4 marital-status=Married-civ-spouse
0.796046092074638 -0.24598426531245465 marital-status=Divorced
-0.7173261160713389 -0.9959165544706716 marital-status=Never-married
0.22949386420987228 0.837272835693754 marital-status=Separated
-0.2711587015988892 0.45102733484992763 marital-status=Widowed
0.48687969182340685 0.9696619680799561 marital-status=Married-spouse-absent
0.7732776144843936 -0.7943649443690428 marital-status=Married-AF-spouse
-0.778599829826103 0.31086007537365945 occupation=Tech-support
0.2611451749817846 -0.4528210752516886 occupation=Craft-repair
0.16211066079649683 0.7473342534163623 occupation=Other-service
0.534477821103053 0.47510124972000156 occupation=Sales
0.5019927586286963 -0.8728014727259286 occupation=Exec-managerial
-0.8668143131295423 -0.35970127548431674 occupation=Prof-specialty
-0.3454774061214394 -0.762323433767486 occupation=Handlers-cleaners
-0.24769265742641733 0.3636289954869465 occupation=Machine-op-inspct
-0.508774316708835 -0.7012156906791687 occupation=Adm-clerical
-0.9656774172204297 0.27848560640156883 occupation=Farming-fishing
0.4450500271784916 -0.44973933708431546 occupation=Transport-moving
0.4470385275792712 -0.7864787509201048 occupation=Priv-house-serv
-0.8843823593391964 -0.9677198936431168 occupation=Protective-serv
-0.9329118631534332 -0.2798207735153644 occupation=Armed-Forces
-0.27114658206342 -0.031466974733408204 relationship=Wife
-0.8478625238622444 -0.30354502955192886 relationship=Own-child
-0.1847844989554457 -0.5889387624377156 relationship=Husband
-0.8690617293246246 0.7558260965502521 relationship=Not-in-family
-0.5484042831850995 -0.2482611051976238 relationship=Other-relative
0.3525891895449622 -0.9251083798331188 relationship=Unmarried
-0.6205067073688935 -0.8088027251801426 race=White
0.49173558760829805 -0.4949725634034716 race=Asian-Pac-Islander
-0.8723731366936303 -0.2782399326220766 race=Amer-Indian-Eskimo
-0.12435237946948252 0.6761207223789356 race=Other
0.1358075250581623 0.15978253237160533 race=Black
-0.2533800325442379 0.9217723971935541 sex
0.8474861209152633 -0.6183678797771117 capital-gain
-0.7428568204037316 -0.7734194650510584 capital-loss
-0.7965175287236124 0.3971086357845133 hours-per-week
0.06775065058777785 0.49231568994871067 native-country=United-States
0.16533480007371426 0.04883391868826514 native-country=Cambodia
-0.8759420399744202 0.5398031744509824 native-country=England
0.403552130471694 -0.1357533602018277 native-country=Puerto-Rico
-0.5302679278099252 0.04971055105026867 native-country=Canada
-0.4723646183958552 0.4102707579154501 native-country=Germany
0.8391571935281537 -0.4154656872458431 native-country=Outlying-US(Guam-USVI-etc)
-0.021360840229893707 0.0051891051755526 native-country=India
0.8943631965400916 0.7559613834690848 native-country=Japan
-0.43740386997851455 -0.9827987376011691 native-country=Greece
-0.9539560869022852 0.18028080702585414 native-country=South
0.529403628102955 0.5077761934218232 native-country=China
-0.8573210174625578 0.1172134705454646 native-country=Cuba
-0.1043965192690639 -0.46281524978039035 native-country=Iran
-0.6669184146616491 0.4757433757333984 native-country=Honduras
0.5134478298961553 0.010211271905071317 native-country=Philippines
-0.8919201246043795 0.39935087045644346 native-country=Italy
-0.8109329170388841 -0.9335443179865897 native-country=Poland
-0.997792852496302 0.9612927690668198 native-country=Jamaica
0.2795167050962293 -0.6299521340961223 native-country=Vietnam
0.37567441184289674 -0.9991747543658038 native-country=Mexico
-0.17419368177024208 -0.5200415884205885 native-country=Portugal
0.8837364713494706 0.049853866278502634 native-country=Ireland
-0.07571383137965304 0.13010820097730091 native-country=France
-0.9482126673066731 -0.7835065031790271 native-country=Dominican-Republic
0.06330971006056596 0.6576047853156668 native-country=Laos
0.28084050161295404 0.23126212531032886 native-country=Ecuador
-0.7390149810914526 -0.9791274413132012 native-country=Taiwan
0.6739136100356209 0.3906937439610956 native-country=Haiti
-0.418098138491235 0.4741444330023832 native-country=Columbia
-0.5425498745558412 -0.5366377441525196 native-country=Hungary
-0.12145076260153509 -0.26854469953060356 native-country=Guatemala
0.2252280827923696 -0.29025750805906725 native-country=Nicaragua
-0.8669442826441789 -0.32363413711322897 native-country=Scotland
0.6009246341091006 -0.19117881667785053 native-country=Thailand
-0.3530399193892477 -0.23863672859875384 native-country=Yugoslavia
0.6390867816997359 -0.17651015577628315 native-country=El-Salvador
-0.5352089225968875 0.19517530231713542 native-country=Trinadad&Tobago
0.89589783398649 0.359830341703538 native-country=Peru
-0.9111279732686552 0.9328086423757953 native-country=Hong
-0.2722141988618434 -0.8874787177539103 native-country=Holand-Netherlands
Hidden Weights:
0.2382931587505599 0.2135758089318387
0.7895870510124001 -0.9015719106031852
>50K <=50K
Error sum for iteration 100 = 788.0165168948527
Error sum for iteration 200 = 775.9654025753036
Error sum for iteration 300 = 760.1782079195657
Error sum for iteration 400 = 744.4987955240739
Error sum for iteration 500 = 729.9797958087149
Error sum for iteration 600 = 717.4435299808291
Error sum for iteration 700 = 706.9365955790242
Error sum for iteration 800 = 698.0733329374805
Error sum for iteration 900 = 690.4166090844601
Error sum for iteration 1000 = 683.6228306689317
Error sum for iteration 1100 = 677.4639298242231
Error sum for iteration 1200 = 671.7858087445474
Error sum for iteration 1300 = 666.4331035295519
Error sum for iteration 1400 = 661.2213150180039
Error sum for iteration 1500 = 656.0087818345136
Error sum for iteration 1600 = 650.7795729372453
Error sum for iteration 1700 = 645.6034082594697
Error sum for iteration 1800 = 640.5617390695886
Error sum for iteration 1900 = 635.713096502006
Error sum for iteration 2000 = 631.0896964053231
Error sum for iteration 2100 = 626.7052897668626
Error sum for iteration 2200 = 622.5613547248399
Error sum for iteration 2300 = 618.6501878462617
Error sum for iteration 2400 = 614.962755033491
Error sum for iteration 2500 = 611.4858627867613
Error sum for iteration 2600 = 608.2058265050208
Error sum for iteration 2700 = 605.1090963672235
Error sum for iteration 2800 = 602.1828708643496
Error sum for iteration 2900 = 599.415149268722
Error sum for iteration 3000 = 596.7949032094266
Error sum for iteration 3100 = 594.3115537255043
Error sum for iteration 3200 = 591.9555284459857
Error sum for iteration 3300 = 589.7177633958519
Error sum for iteration 3400 = 587.5899696663752
Error sum for iteration 3500 = 585.5643155504854
Error sum for iteration 3600 = 583.6338570669848
Error sum for iteration 3700 = 581.7924049072358
Error sum for iteration 3800 = 580.0337297069632
Error sum for iteration 3900 = 578.3522227490516
Error sum for iteration 4000 = 576.7423344404723
Error sum for iteration 4100 = 575.1987931829116
Error sum for iteration 4200 = 573.7164406965151
Error sum for iteration 4300 = 572.2904124898532
Error sum for iteration 4400 = 570.9160739434284
Error sum for iteration 4500 = 569.5884996731554
Error sum for iteration 4600 = 568.3028772569305
Error sum for iteration 4700 = 567.0547473208524
Error sum for iteration 4800 = 565.8400501320334
Error sum for iteration 4900 = 564.654778872741
Error sum for iteration 5000 = 563.4947827491939
Error sum for iteration 5100 = 562.3565273861337
Error sum for iteration 5200 = 561.2369354933309
Error sum for iteration 5300 = 560.1333979517198
Error sum for iteration 5400 = 559.0439631283153
Error sum for iteration 5500 = 557.9671746409147
Error sum for iteration 5600 = 556.9024074165277
Error sum for iteration 5700 = 555.849324307026
Error sum for iteration 5800 = 554.8080057420764
Error sum for iteration 5900 = 553.7788661568347
Error sum for iteration 6000 = 552.7627262954542
Error sum for iteration 6100 = 551.7597464488966
Error sum for iteration 6200 = 550.7710143114164
Error sum for iteration 6300 = 549.7965092606526
Error sum for iteration 6400 = 548.8365070288214
Error sum for iteration 6500 = 547.89160621001
Error sum for iteration 6600 = 546.9619269741729
Error sum for iteration 6700 = 546.0479140200852
Error sum for iteration 6800 = 545.1496886373202
Error sum for iteration 6900 = 544.267474134254
Error sum for iteration 7000 = 543.400610463425
Options: -I 7000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 7000
-E 0.0112
-S 1777777652
-H 2
-M 0.01
Input Weights:
-0.3402822956786695 5.459321500948664 age
2.5848375797704586 1.1201624255200529 workclass=Private
3.3260264809561373 -0.6932120622627147 workclass=Self-emp-not-inc
-0.5853636512738369 -1.3790444038910632 workclass=Self-emp-inc
-1.1227261936017296 -0.4307541070020918 workclass=Federal-gov
0.9893552035649728 -3.603555761270303 workclass=Local-gov
2.221275955911373 0.40962193318966256 workclass=State-gov
0.3397636895228263 -0.9951260952128834 workclass=Without-pay
0.5054484691525889 -0.9637629703775588 workclass=Never-worked
0.3776937755704187 1.5709436664983927 fnlwgt
-0.09975375660677543 0.18446188702027955 education=Bachelors
-0.07412352458334442 -1.117867160698833 education=Some-college
0.9028361159085814 -2.113556951849083 education=11th
0.2866238431089182 -0.09416680290794213 education=HS-grad
0.5220602137883061 5.643313390052772 education=Prof-school
-1.2661851285808636 -0.7135722863386778 education=Assoc-acdm
0.061656619714844395 -0.4059064774144497 education=Assoc-voc
4.644190941663723 -1.2554718787288661 education=9th
-0.2737894657990101 -1.8565762348354533 education=7th-8th
3.742460143689855 -3.8636103184077366 education=12th
0.5652541872171712 2.080324679572082 education=Masters
2.3718741514147244 -3.6463156779002315 education=1st-4th
1.0809614779148526 0.26424515544422716 education=10th
-4.419118111082592 -1.7371863842657445 education=Doctorate
0.8125253301607759 1.2666765614367401 education=5th-6th
0.7419804233979634 -0.8094761969268397 education=Preschool
-4.218987675415166 3.9636243494851144 education-num
-2.933992954856034 2.4764618423142686 marital-status=Married-civ-spouse
1.4612177838339964 -0.6628325711156954 marital-status=Divorced
3.0471406586888574 -1.1110368891878244 marital-status=Never-married
-1.3861238345889555 -3.2351935031240884 marital-status=Separated
-0.5950477961243759 -1.5017127838455944 marital-status=Widowed
4.322733527096752 -0.12419819937310042 marital-status=Married-spouse-absent
1.373380088708834 -1.5062676609784962 marital-status=Married-AF-spouse
-3.3859716573412215 -2.1567822178866574 occupation=Tech-support
-1.6904381335294218 -1.7958144237545206 occupation=Craft-repair
1.2635338159031326 -0.2295835723576403 occupation=Other-service
0.7099031742324866 1.5641879899082463 occupation=Sales
-0.520087651673819 1.5343107484716882 occupation=Exec-managerial
0.6445843752275476 1.6572417321306265 occupation=Prof-specialty
2.585075037244463 0.0851394690210743 occupation=Handlers-cleaners
2.3703923720682614 0.7827135654502801 occupation=Machine-op-inspct
0.6154669713609869 -0.3309431838498535 occupation=Adm-clerical
0.3449086119578921 -5.141862420579405 occupation=Farming-fishing
2.0284732678436668 1.1793490769686943 occupation=Transport-moving
1.1027093548392268 -2.6685866697188994 occupation=Priv-house-serv
-2.220515003208954 -5.758955766375786 occupation=Protective-serv
-0.20162905887292337 -0.8107552833581682 occupation=Armed-Forces
-0.15817652760921533 2.480769381628571 relationship=Wife
0.8419825205171471 -2.6657951177607404 relationship=Own-child
0.511768657421693 -1.7226688283123803 relationship=Husband
0.12149250470654226 -0.7558638990010021 relationship=Not-in-family
-0.36129979511770954 -3.436259614681459 relationship=Other-relative
1.0186935468691831 -0.735485716419542 relationship=Unmarried
-0.7706744998006453 -0.27951325023832263 race=White
-0.0806207938372319 1.4445975380881373 race=Asian-Pac-Islander
-1.510079663796245 -4.2869526839411165 race=Amer-Indian-Eskimo
6.133196639991416 -1.914405069415812 race=Other
-0.7286031255497019 -0.8112331660541694 race=Black
-0.44528874687865555 0.7346415639043303 sex
-10.54199020517215 5.4288504954843075 capital-gain
-5.510972880404875 0.26801401836148847 capital-loss
-2.191914743035339 9.056190950838767 hours-per-week
-0.18911072338109575 0.7332684881073377 native-country=United-States
-4.063514635369939 6.049345018997022 native-country=Cambodia
1.9658481030018562 0.3410850771087678 native-country=England
-0.6657988510638798 -0.8712533994280001 native-country=Puerto-Rico
-4.172202633376665 -1.701516263978372 native-country=Canada
-0.3447680681900966 -0.1210440828202829 native-country=Germany
1.1997686294101562 -1.4562070520613315 native-country=Outlying-US(Guam-USVI-etc)
5.318841919536459 0.5385667470205083 native-country=India
3.5518857303943334 0.30298914277925704 native-country=Japan
3.0446810718750412 -2.4305515392639756 native-country=Greece
2.023106629777097 -0.07875824853768273 native-country=South
0.20395338197183183 -0.642601846193392 native-country=China
0.7683556902111566 -3.2104137146719083 native-country=Cuba
-3.4702009964213656 2.7542078165024484 native-country=Iran
0.2961561127379537 -1.7274163425167481 native-country=Honduras
-0.8751305128198936 2.5751440511375905 native-country=Philippines
-1.4481430221844735 2.042258839773412 native-country=Italy
2.654915396825712 -1.3179215056027132 native-country=Poland
-1.9239632681404781 2.9825743533486757 native-country=Jamaica
2.1299395681343136 -0.7839303165742572 native-country=Vietnam
-0.7640719599888629 -4.346307112387215 native-country=Mexico
-2.4979993815639907 -0.513777540440288 native-country=Portugal
-3.4872581265609566 0.8294718007948727 native-country=Ireland
-0.8160937281882763 -0.05031889531705561 native-country=France
-3.26249697092334 0.08688484416207834 native-country=Dominican-Republic
1.592541806813932 -2.1421216298596364 native-country=Laos
0.9017614241567616 -0.29641375906089285 native-country=Ecuador
-1.996561750980384 -2.7479904465405545 native-country=Taiwan
2.7696047353220776 -2.2012928700190804 native-country=Haiti
6.345056088049661 -3.4880454549047455 native-country=Columbia
-0.23232620779620552 -0.9290527183913626 native-country=Hungary
-0.846518679459692 1.2676679901720822 native-country=Guatemala
1.6897333563219046 -2.489298137563816 native-country=Nicaragua
-0.3546174238299682 -1.2160069253664252 native-country=Scotland
1.9468233828529997 -2.033359825327661 native-country=Thailand
0.9375677562888443 -2.3322383031347367 native-country=Yugoslavia
1.877083897619881 -0.07562573138496913 native-country=El-Salvador
0.39858845262796533 -1.5875679981864599 native-country=Trinadad&Tobago
0.2785235639567164 0.4822540071386864 native-country=Peru
-0.5682178453253514 0.47724993502545987 native-country=Hong
0.038009467897683544 -1.2798936919920187 native-country=Holand-Netherlands
Hidden Weights:
-2.30901936702078 2.3090193670207815
1.850632370449639 -1.8506323704496395
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4242 84.5862 %
Incorrectly Classified Instances 773 15.4138 %
Mean absolute error 0.2641
Root mean squared error 0.3301
Relative absolute error 71.5355 %
Root relative squared error 76.8275 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
731 494 | a = >50K
279 3511 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13630 83.7172 %
Incorrectly Classified Instances 2651 16.2828 %
Mean absolute error 0.2739
Root mean squared error 0.3439
Relative absolute error 74.9986 %
Root relative squared error 80.9591 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2219 1627 | a = >50K
1024 11411 | b = <=50K
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