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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 3
Number Output Nodes: 2
-I 12000
-E 0.0112
-S 1805644034
-H 3
-M 0.0445
Input Weights:
-0.7553757291433667 0.5215994540135289 0.40379969774927926 age
-0.2510721153099382 0.6592074330207502 0.39677309821193174 workclass=Private
-0.6550749285996189 0.19939692891316563 0.7269187538468045 workclass=Self-emp-not-inc
0.7619870804851536 -0.6445901082117582 -0.8000306541849012 workclass=Self-emp-inc
0.9482569773467029 0.06652035560811309 0.9150800728641617 workclass=Federal-gov
-0.7423820171006621 -0.3562165625536875 0.5613181009789501 workclass=Local-gov
-0.09337772088201413 -0.1397400475549364 0.24049030250796233 workclass=State-gov
0.43337476982795553 -0.7485982434349894 0.369593403113075 workclass=Without-pay
0.42356990454921206 -0.6223873884738595 -0.21937665931318362 workclass=Never-worked
-0.13541832784777363 -0.1501730999056783 -0.7375666393663585 fnlwgt
0.14671166119993173 0.030276110434255932 0.4787845273328881 education=Bachelors
0.9514019430956147 -0.5055578542572094 -0.5513158329023236 education=Some-college
-0.9505774545520915 0.5765238321340684 0.5895623399108749 education=11th
0.3777480424478681 0.6195712653858609 -0.29921213520345114 education=HS-grad
0.6720384552741854 0.9127714980467854 0.2044803427909352 education=Prof-school
0.40234496068145353 -0.27780404045278506 0.46252638619305886 education=Assoc-acdm
0.7928631609837817 0.3076490062707209 -0.9468381797128715 education=Assoc-voc
-0.6977409077271444 -0.632914953611373 -0.4825649929164473 education=9th
-0.9007022037340364 0.9613894312888183 0.27531947100886267 education=7th-8th
-0.21079403093854587 -0.3538532648820629 -0.8368033459152975 education=12th
-0.07059555928376504 0.27334805361763004 -0.6411167957254826 education=Masters
-0.28105164601238886 0.7248172583262764 0.33733069206469346 education=1st-4th
0.6542170711251523 -0.2995362113366502 -0.06042246293376641 education=10th
-0.0859020684631191 0.6082983107512387 -0.36051226157342153 education=Doctorate
0.7711120039990758 0.5894753915010693 0.6572622134203219 education=5th-6th
0.42063264657493393 0.7604552427737827 -0.30433624266547876 education=Preschool
-0.7214495639342942 -0.13429485043043665 -0.23565226155262753 education-num
-0.9815575638382104 0.7081891266978133 -0.19035458707564246 marital-status=Married-civ-spouse
0.40250533933996824 0.9612223356896457 0.6815986889173045 marital-status=Divorced
0.30621592757059557 -0.7359049535484186 0.346999234234618 marital-status=Never-married
0.24488586884605956 -0.13480073249115 0.19663710355104258 marital-status=Separated
0.18098002753567388 0.500218730382046 0.7969176884865374 marital-status=Widowed
-0.5757290415740672 0.679271873251452 -0.4995410211331692 marital-status=Married-spouse-absent
-0.9673940554694425 -0.8942755112710494 -0.04276628292860973 marital-status=Married-AF-spouse
-0.7207349309850624 -0.43928186858277596 0.7572752051473968 occupation=Tech-support
-0.5264071312538416 0.2612869479787876 -0.8120831244228406 occupation=Craft-repair
-0.29521147522588653 0.4362659117789107 0.4029910561607428 occupation=Other-service
0.9244430750872044 -0.33698148449472365 0.1783635709860365 occupation=Sales
-0.8083848220575625 0.3693435406183343 0.8676352244740673 occupation=Exec-managerial
-0.12506001321852112 -0.17125426275121303 -0.82620646100304 occupation=Prof-specialty
0.13946910764162257 0.9635850794871124 0.9170518752436649 occupation=Handlers-cleaners
-0.8583579440508362 -0.6805530860249915 0.10606539733139564 occupation=Machine-op-inspct
-0.9860061763463324 0.6854030592866143 -0.690832201894926 occupation=Adm-clerical
-0.05809488368609306 0.00866302127820151 -0.4257764181106618 occupation=Farming-fishing
-0.5820940364741816 -0.5115589387155126 0.9601472210754853 occupation=Transport-moving
-0.8952543379284341 0.03269499922391517 -0.8799107517059985 occupation=Priv-house-serv
0.646645955645339 -0.37728133665503805 -0.6842529633550598 occupation=Protective-serv
0.2388569481390279 0.5543996505115996 0.7442075201979803 occupation=Armed-Forces
0.7988382475863651 -0.9887186632946361 -0.8768156665839291 relationship=Wife
0.178091542990791 0.9733964530927732 0.10746397981373268 relationship=Own-child
0.01187364687704151 0.07716761786094684 0.2988294454049143 relationship=Husband
0.5247217375673863 -0.28450162450863314 0.36368217109356404 relationship=Not-in-family
-0.10707355200497926 -0.5964936057897869 0.08703666568228874 relationship=Other-relative
0.610791009329654 0.2341785686282285 0.06851547295795424 relationship=Unmarried
-0.2842818970220131 0.10955616608683671 -0.7945750725025673 race=White
0.697868704902173 0.3568856200650561 -0.8900549019037538 race=Asian-Pac-Islander
0.45334110783507553 -0.674500354628996 0.1719214489295855 race=Amer-Indian-Eskimo
0.7355206486415342 -0.39097966774549 -0.8943027977904869 race=Other
0.21745440020985973 -0.351194580804171 0.5088804504941089 race=Black
0.4988077958692805 -0.35161440687531265 -0.7871086192397407 sex
-0.8258364022459346 -0.03503033358736607 0.019589599022127757 capital-gain
-0.5748737807495155 -0.5570771778746539 0.795233195372067 capital-loss
0.5068984604474542 -0.48454988273325483 -0.16752354884694332 hours-per-week
0.9706998467032111 -0.6754530972092305 0.8930629920426827 native-country=United-States
0.49659946091039875 -0.40439503917446573 -0.5916718988980432 native-country=Cambodia
0.8070393138256449 0.5518920269642187 0.9415737874241037 native-country=England
-0.710473125875289 -0.23455067725596934 0.20583536726793716 native-country=Puerto-Rico
0.6776792879992841 -0.4852182822554738 -0.31748949976567675 native-country=Canada
0.42300425570809264 -0.04395874204939054 -0.7992249051254299 native-country=Germany
0.2355061817423434 0.21323433871269248 -0.28533662143989935 native-country=Outlying-US(Guam-USVI-etc)
-0.32059109940610586 0.354310342774085 -0.045857271227595975 native-country=India
-0.3190103891504332 -0.8561823305765761 -0.3715325618205876 native-country=Japan
0.33872206023239126 -0.5508587269692955 -0.5754528310273836 native-country=Greece
0.5216294105844685 -0.7738355641352432 0.17002131400592235 native-country=South
0.3999511078339102 -0.8784755351923914 -0.7798188193710212 native-country=China
0.27293098431491347 -0.09753838408851023 -0.620162824128651 native-country=Cuba
-0.15826370434044112 0.16158703303672972 0.48567938593834215 native-country=Iran
-0.5787782633687906 -0.957274368007015 0.15163479782368272 native-country=Honduras
0.49245457700196105 0.09531562305505448 0.1191763497175864 native-country=Philippines
-0.5313795138308852 0.788676534123121 0.1564921325117119 native-country=Italy
-0.4198669376440578 -0.29621536584200836 0.5148775758887936 native-country=Poland
-0.61952719610797 -0.030977057213745107 0.5776645112583267 native-country=Jamaica
0.5324844185087909 -0.8822985853500982 -0.4735444160961251 native-country=Vietnam
0.25556484260702517 0.21897078032116646 0.601385700561575 native-country=Mexico
-0.9026229964325352 0.87008156506718 -0.1534164007816492 native-country=Portugal
0.5394278733120801 -0.5632316797439358 -0.8910374071007718 native-country=Ireland
-0.6459479980511211 -0.210133400369803 -0.5020805410208089 native-country=France
0.6010458706317667 0.7100994358472155 -0.48452355034855144 native-country=Dominican-Republic
0.6853998606123257 0.11929643204723939 -0.3691475690508188 native-country=Laos
-0.0067204896718366935 -0.6548613647432759 0.20040326377885975 native-country=Ecuador
-0.7183905322480966 0.7378492486511399 0.32332496568744373 native-country=Taiwan
-0.7826820772335679 -0.868921174151138 -0.5245348979118356 native-country=Haiti
0.24550107882697114 -0.12443872030478076 -0.4219576964740088 native-country=Columbia
0.3114716100253301 -0.5270538748026237 0.53502596329809 native-country=Hungary
0.8698570420961214 -0.8014608937049612 -0.7876178797252835 native-country=Guatemala
-0.915381578124947 -0.47448720460636773 0.3343436690111006 native-country=Nicaragua
0.15706143284081642 -0.35052356730270184 -0.16368285190414245 native-country=Scotland
0.31461577479525893 -0.03887867815301371 0.8409908320653323 native-country=Thailand
0.1513624547290815 -0.07401124887608002 -0.38633750645565423 native-country=Yugoslavia
-0.26800948248264156 -0.4957676924085017 -0.3952426418546493 native-country=El-Salvador
-0.8459312377911137 0.9795775755529172 0.0019613789766177447 native-country=Trinadad&Tobago
-0.8907795829745453 -0.1344916748781324 -0.9086532646353602 native-country=Peru
-0.608006720740456 0.418037090538796 0.16632029916739977 native-country=Hong
-0.7240817040290044 -0.7917533499075577 0.7251788806228088 native-country=Holand-Netherlands
Hidden Weights:
-0.09697915727194584 0.3802323036972004
0.08661190175855427 -0.4483385659933168
-0.5367544966300224 0.2846263541729406
>50K <=50K
Error sum for iteration 100 = 781.8809627733502
Error sum for iteration 200 = 779.7754050945867
Error sum for iteration 300 = 783.2794158633898
Error sum for iteration 400 = 796.71480542615
Error sum for iteration 500 = 813.7148959979696
Error sum for iteration 600 = 827.3315621664278
Error sum for iteration 700 = 834.4030695633319
Error sum for iteration 800 = 839.499687506333
Error sum for iteration 900 = 845.4373022553513
Error sum for iteration 1000 = 852.0266415017256
Error sum for iteration 1100 = 857.0796917112323
Error sum for iteration 1200 = 858.1561493326797
Error sum for iteration 1300 = 855.1626521135507
Error sum for iteration 1400 = 849.5504427706078
Error sum for iteration 1500 = 842.6779579840035
Error sum for iteration 1600 = 835.4338465530994
Error sum for iteration 1700 = 828.2863222786362
Error sum for iteration 1800 = 821.4524572912462
Error sum for iteration 1900 = 815.0186591183854
Error sum for iteration 2000 = 808.9714361664187
Error sum for iteration 2100 = 803.2161867699007
Error sum for iteration 2200 = 797.6499650586303
Error sum for iteration 2300 = 792.2052392397377
Error sum for iteration 2400 = 786.8341894670623
Error sum for iteration 2500 = 781.5421230655503
Error sum for iteration 2600 = 776.3520225650179
Error sum for iteration 2700 = 771.3292879099411
Error sum for iteration 2800 = 766.5216228201461
Error sum for iteration 2900 = 761.9520897524217
Error sum for iteration 3000 = 757.6316289550895
Error sum for iteration 3100 = 753.5335616695746
Error sum for iteration 3200 = 749.6415633915807
Error sum for iteration 3300 = 745.9392050572235
Error sum for iteration 3400 = 742.4032163852406
Error sum for iteration 3500 = 739.024843542576
Error sum for iteration 3600 = 735.7882144559175
Error sum for iteration 3700 = 732.6846139952851
Error sum for iteration 3800 = 729.7073440156689
Error sum for iteration 3900 = 726.8457971892956
Error sum for iteration 4000 = 724.0993481283266
Error sum for iteration 4100 = 721.4646557956321
Error sum for iteration 4200 = 718.9296712097943
Error sum for iteration 4300 = 716.489765093533
Error sum for iteration 4400 = 714.1399789295591
Error sum for iteration 4500 = 711.8787438724512
Error sum for iteration 4600 = 709.7034787085324
Error sum for iteration 4700 = 707.6085662231714
Error sum for iteration 4800 = 705.591307051558
Error sum for iteration 4900 = 703.6497210492611
Error sum for iteration 5000 = 701.7824610345424
Error sum for iteration 5100 = 699.9875610157695
Error sum for iteration 5200 = 698.2643661843717
Error sum for iteration 5300 = 696.6150409560923
Error sum for iteration 5400 = 695.038288837516
Error sum for iteration 5500 = 693.5331685653715
Error sum for iteration 5600 = 692.101663790447
Error sum for iteration 5700 = 690.7463803919503
Error sum for iteration 5800 = 689.4707367203094
Error sum for iteration 5900 = 688.2787092376827
Error sum for iteration 6000 = 687.1682070730506
Error sum for iteration 6100 = 686.1269159660721
Error sum for iteration 6200 = 685.1282111604257
Error sum for iteration 6300 = 684.1363976353458
Error sum for iteration 6400 = 683.1245452550136
Error sum for iteration 6500 = 682.0885519293035
Error sum for iteration 6600 = 681.0386862850117
Error sum for iteration 6700 = 679.9866567244155
Error sum for iteration 6800 = 678.9412169321993
Error sum for iteration 6900 = 677.9088178499115
Error sum for iteration 7000 = 676.8950335783635
Error sum for iteration 7100 = 675.9008436406776
Error sum for iteration 7200 = 674.9279113842614
Error sum for iteration 7300 = 673.9772024134286
Error sum for iteration 7400 = 673.0478800579763
Error sum for iteration 7500 = 672.1398420512223
Error sum for iteration 7600 = 671.2529271414887
Error sum for iteration 7700 = 670.387370001729
Error sum for iteration 7800 = 669.5417848077309
Error sum for iteration 7900 = 668.7146095566884
Error sum for iteration 8000 = 667.9051835833693
Error sum for iteration 8100 = 667.1123085756919
Error sum for iteration 8200 = 666.3350819603105
Error sum for iteration 8300 = 665.5727883902188
Error sum for iteration 8400 = 664.8244419005423
Error sum for iteration 8500 = 664.0892306900076
Error sum for iteration 8600 = 663.3661681959628
Error sum for iteration 8700 = 662.6549968262599
Error sum for iteration 8800 = 661.9551098849106
Error sum for iteration 8900 = 661.2655180473206
Error sum for iteration 9000 = 660.5857259889789
Error sum for iteration 9100 = 659.914794327284
Error sum for iteration 9200 = 659.2524193823177
Error sum for iteration 9300 = 658.5984557851447
Error sum for iteration 9400 = 657.9527743012516
Error sum for iteration 9500 = 657.3144403608893
Error sum for iteration 9600 = 656.6825582756842
Error sum for iteration 9700 = 656.0578209164861
Error sum for iteration 9800 = 655.4383327561756
Error sum for iteration 9900 = 654.8239630186664
Error sum for iteration 10000 = 654.214430356938
Error sum for iteration 10100 = 653.6095398321651
Error sum for iteration 10200 = 653.0103028410587
Error sum for iteration 10300 = 652.4154218453187
Error sum for iteration 10400 = 651.824364759787
Error sum for iteration 10500 = 651.2366397247329
Error sum for iteration 10600 = 650.6522584437234
Error sum for iteration 10700 = 650.071191619154
Error sum for iteration 10800 = 649.4932771415557
Error sum for iteration 10900 = 648.9184558217681
Error sum for iteration 11000 = 648.3468329974323
Error sum for iteration 11100 = 647.7780768852002
Error sum for iteration 11200 = 647.2120328324814
Error sum for iteration 11300 = 646.6485981195494
Error sum for iteration 11400 = 646.0878933754682
Error sum for iteration 11500 = 645.5301908269088
Error sum for iteration 11600 = 644.9752811148436
Error sum for iteration 11700 = 644.4233895621852
Error sum for iteration 11800 = 643.8746550974638
Error sum for iteration 11900 = 643.3287268577869
Error sum for iteration 12000 = 642.7855025856582
Options: -I 12000 -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 12000
-E 0.0112
-S 1805644034
-H 3
-M 0.0445
Input Weights:
-3.7494733690925734 4.069271512592105 -4.838315875675056 age
1.2313402151560242 0.16330390682020307 -0.3612609926408425 workclass=Private
-2.167916962717869 3.4852169564056217 5.354241581612306 workclass=Self-emp-not-inc
2.014816367228626 -2.702156429283309 -0.9845894871101024 workclass=Self-emp-inc
0.6214471641029772 -1.0593459955444733 -0.6245754879152972 workclass=Federal-gov
1.0972276233110683 -0.7968901393887656 4.057327600151455 workclass=Local-gov
1.7660581926962673 -1.8685253360381613 1.8891913186214453 workclass=State-gov
0.35185568445447024 -0.9694856920054892 0.6957623353439711 workclass=Without-pay
0.7244443204468275 -0.8079782207954759 0.28835359340187944 workclass=Never-worked
-2.2802341482785944 4.745925006833047 -4.298705618247875 fnlwgt
2.3958176246993848 -1.8720411238010903 -1.3646618050776589 education=Bachelors
2.0151362455909525 -0.8920062619581696 0.2751484021070622 education=Some-college
2.2811790836018133 -4.297822392426485 4.724338390274567 education=11th
1.9664384628642437 -0.295453339175241 -0.35817739496939377 education=HS-grad
-2.9470116603698613 5.000901709201968 -2.8874116753643753 education=Prof-school
1.2423780592911415 -1.6177425029683101 -0.02383903965093828 education=Assoc-acdm
-0.2212594188228099 0.2205875332509565 3.176692362396755 education=Assoc-voc
4.512264719901871 -5.924804913138005 1.753363259442959 education=9th
-2.7506458452817824 6.513531677297477 0.31490063508476096 education=7th-8th
2.0936511889499725 -3.817652417824866 5.90260302617388 education=12th
0.8358440626068652 0.8211596009309681 -3.5225842035942576 education=Masters
1.2508813224724558 0.14803398368723447 4.435174502457301 education=1st-4th
-1.562183695452616 4.844158671641873 0.2516613827374196 education=10th
-3.1196812275728205 2.3709858306341656 -1.544392243055269 education=Doctorate
0.4769144113204401 -1.7500555997830847 -0.8897377048163216 education=5th-6th
0.742968722412818 0.38894864471198004 0.46459189418626 education=Preschool
-2.922736608898568 1.789711360485703 -4.582358936095677 education-num
-2.523869160156544 0.3989441707594087 -7.186143829820527 marital-status=Married-civ-spouse
-0.39991477469619 1.2801416384872144 1.938063905938943 marital-status=Divorced
1.848726050423199 -2.988263457091887 3.316232773598312 marital-status=Never-married
1.05366714662453 -0.3730405612101694 2.0168573851178175 marital-status=Separated
-0.3017851316675839 1.8014182319693592 0.21281450555417042 marital-status=Widowed
3.4341667848771773 -0.9545810258957208 6.0126254848614815 marital-status=Married-spouse-absent
0.01203182546923216 -0.8645606131300115 2.5949943895294005 marital-status=Married-AF-spouse
-0.157081250821245 -0.9127226902409897 -1.077912714913347 occupation=Tech-support
-0.520613050248902 -1.19747399570653 2.2141709025108267 occupation=Craft-repair
0.9650222024083404 -2.054918276419303 2.262410493986721 occupation=Other-service
-1.6559487206257302 1.8876305991486972 0.38178391588486266 occupation=Sales
-2.7516390617409967 2.8439381102537893 -0.4311250713432364 occupation=Exec-managerial
-0.8752499951262548 1.28985709689396 -0.35797043063974887 occupation=Prof-specialty
2.1198274934686965 -2.158895540288472 2.522556203981373 occupation=Handlers-cleaners
-0.1377663081366912 -2.674828088677497 3.1901283999661767 occupation=Machine-op-inspct
-0.7198538584661155 0.939386462419086 1.9166878736522186 occupation=Adm-clerical
-0.17128689807888026 3.3187239668000363 0.7329963403794572 occupation=Farming-fishing
1.5119027312918403 -4.661291689765774 2.3361710854335733 occupation=Transport-moving
-0.06538463746677375 -0.31133533787659956 2.2073541224750888 occupation=Priv-house-serv
4.589522197351777 0.03440376471616625 -5.37670187801078 occupation=Protective-serv
0.5815956412224439 0.36925854061368146 1.2641914664858727 occupation=Armed-Forces
-0.7038843286844899 1.9491437750379406 -0.7428192990179442 relationship=Wife
2.057752086994573 -4.6260970733660995 5.695772033962694 relationship=Own-child
1.7335899742702263 -0.37675043437225886 4.2491255596106114 relationship=Husband
1.070748975364486 -2.270033289147138 0.1534044895444727 relationship=Not-in-family
3.61659421670375 -1.2254359768193968 1.6332722883217874 relationship=Other-relative
-1.5453164697356736 3.3659300921548576 -3.831819466043818 relationship=Unmarried
1.3236279986094515 -1.6914691937184612 -1.9339749961763877 race=White
-0.45459521838119116 1.4020913265412984 -3.9679827924187627 race=Asian-Pac-Islander
1.159356355391721 -3.2954114507521597 1.1983373906713684 race=Amer-Indian-Eskimo
5.559415966708875 0.7463807335790643 1.0990831131557997 race=Other
-1.8565347310907174 -0.5245050528561102 8.306899697287605 race=Black
-1.8457607448436344 1.6402881891241436 -0.6499101624251269 sex
-9.103633774426143 -4.771766341719082 -1.5885216686051657 capital-gain
-3.024739890680069 -4.151191706450758 -0.472474989087019 capital-loss
0.15412861679882994 -3.442313689084648 -7.4253607522224545 hours-per-week
-0.7166438137046378 2.514861338374977 -3.7764189103528305 native-country=United-States
-0.9857864641472612 -4.012180270609949 -7.397094159092865 native-country=Cambodia
0.7312934564980859 1.2859209278637196 0.018594520167238573 native-country=England
-3.2873009741529384 -0.044892157187138605 1.4062673768358198 native-country=Puerto-Rico
-0.41503178055622847 0.3953222936252382 -3.1867955881434082 native-country=Canada
-2.874696842904264 1.2817479926021575 4.918249750629795 native-country=Germany
0.6064855065375644 0.0417020273093436 0.5189062778226913 native-country=Outlying-US(Guam-USVI-etc)
6.9983386041414155 -1.6247702569246798 -1.001701584396345 native-country=India
3.1728890950082307 1.3729231621674973 1.5242586876111308 native-country=Japan
0.5915389986023271 -7.659357193439901 3.737695956597485 native-country=Greece
1.7708716116800316 -0.2827104779498102 0.4483470327400755 native-country=South
3.2461993923755044 -2.6180671047325914 4.659180091568026 native-country=China
1.2592995263957663 -2.3521476250328286 2.6857185843446296 native-country=Cuba
-3.4506749322833605 -1.6784721989410643 -1.3737451121208792 native-country=Iran
0.7406250587358616 0.09198153351527812 2.8954923407426247 native-country=Honduras
0.5292745850788507 -1.1375894575668015 -1.7440772270116605 native-country=Philippines
-0.9418557180661644 -0.3293827604099657 -1.546438098415945 native-country=Italy
2.0647862655168843 0.0558995616819429 1.4934423566511563 native-country=Poland
-2.29899143988523 -1.3839491479429247 -2.0769360438269615 native-country=Jamaica
3.156865836464274 2.145836613178742 -2.5539023261879614 native-country=Vietnam
-1.470213900762776 0.057867599190369816 3.812549356760125 native-country=Mexico
-2.5567323404852638 0.6325703854310419 1.450857530053008 native-country=Portugal
-0.9600714560405325 2.834948029960021 -7.056826742361987 native-country=Ireland
-0.922121824347412 -0.36478119454259295 0.11425815032916663 native-country=France
0.44055154168246075 -1.8698323871935347 0.4607458552061329 native-country=Dominican-Republic
1.5112025494928483 1.4949723441558314 2.7367932316486017 native-country=Laos
1.135348059310011 -0.6208948760955296 0.754169126403501 native-country=Ecuador
-0.8721277957806918 -1.053747131089902 2.5748600421290697 native-country=Taiwan
3.273562408728768 -0.45543648906432443 1.2412394734985346 native-country=Haiti
4.259346411447524 1.7229952161667856 3.6023052389850303 native-country=Columbia
0.6123460259225447 -0.71264470712424 1.0427562160123056 native-country=Hungary
-3.2641440575317215 -0.9458945784507576 -2.6370482839579443 native-country=Guatemala
0.9672772333820324 -0.09450546603350082 2.9328290345694583 native-country=Nicaragua
0.3885302344918886 -0.680283562917558 0.45494559722038913 native-country=Scotland
-1.5305706642372616 -0.30909760251968044 4.344768051454618 native-country=Thailand
0.9379174425528629 -0.028921225547135998 1.3552551384357436 native-country=Yugoslavia
-0.8805818757410996 -2.5240775199322196 3.3758138898041987 native-country=El-Salvador
1.8516111045878696 1.3623309154489023 0.9608267134603853 native-country=Trinadad&Tobago
1.9758519555916063 0.08250129356724824 -1.1197767131339775 native-country=Peru
-0.29484924014914726 0.23432930290908555 0.6921377278864211 native-country=Hong
-0.42320728813123093 -0.9773441822291741 1.2329091333374218 native-country=Holand-Netherlands
Hidden Weights:
-5.1480838502199955 5.1480838502199955
-4.7604638654024285 4.76046386540243
-2.3261542957107717 2.326154295710772
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4299 85.7228 %
Incorrectly Classified Instances 716 14.2772 %
Mean absolute error 0.2497
Root mean squared error 0.3202
Relative absolute error 67.631 %
Root relative squared error 74.5162 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
783 442 | a = >50K
274 3516 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13369 82.1141 %
Incorrectly Classified Instances 2912 17.8859 %
Mean absolute error 0.2736
Root mean squared error 0.3531
Relative absolute error 74.9381 %
Root relative squared error 83.1155 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2174 1672 | a = >50K
1240 11195 | b = <=50K
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