|
|
Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772442673
-H 2
-M 0.01
Input Weights:
-0.3096001131437609 0.4205215384748229 age
-0.8321607373778748 0.10165587745321769 workclass=Private
0.15511536901679235 0.6194020954289954 workclass=Self-emp-not-inc
-0.6942353902835154 0.29303465169697707 workclass=Self-emp-inc
0.2848948832832454 0.17253102631536166 workclass=Federal-gov
-0.5463842928509108 -0.5026754884532887 workclass=Local-gov
0.4744673979181193 -0.7513365664541678 workclass=State-gov
0.961177097179978 0.41107165733208606 workclass=Without-pay
-0.42384073287768187 -0.5674098514829058 workclass=Never-worked
-0.6932966264545779 0.16587262740040054 fnlwgt
-0.03391525866882983 0.26868600204932336 education=Bachelors
-0.8720215941871268 0.0894333603261055 education=Some-college
0.6081458956003549 0.9018922578528963 education=11th
0.6091074620159453 -0.06788425966964073 education=HS-grad
0.8701509243798435 0.05263102073945958 education=Prof-school
-0.4682618385597721 0.234531566927775 education=Assoc-acdm
-0.190893056581801 0.2793538081034299 education=Assoc-voc
-0.17418746096581628 -0.6180408254560534 education=9th
0.09853086664010768 -0.8434664356841626 education=7th-8th
-0.7199376353530276 -0.18678843841771653 education=12th
-0.11453287862846118 0.05857277793107185 education=Masters
0.03416954140770345 0.8035866647149306 education=1st-4th
0.7735689684766729 0.841698726028282 education=10th
-0.3705424099147019 0.1709522798768246 education=Doctorate
-0.5653910190283458 -0.7744008380375698 education=5th-6th
0.5185539685622076 0.5768704118922741 education=Preschool
0.6263940269877997 0.18220624664453133 education-num
0.020805179468213586 0.19571780474205847 marital-status=Married-civ-spouse
0.6812944152994835 0.4473003585513684 marital-status=Divorced
0.47222674286717004 -0.7424767077839849 marital-status=Never-married
0.8362126176917468 0.40687557341330005 marital-status=Separated
0.6880720810046319 -0.8430103934332094 marital-status=Widowed
-0.4196627547433571 -0.6813801262010433 marital-status=Married-spouse-absent
-0.5169055194295915 0.7529046073681895 marital-status=Married-AF-spouse
-0.051286257879592734 -0.9276897313412165 occupation=Tech-support
-0.2516000607514346 0.4186486674339067 occupation=Craft-repair
0.30353193625239094 -0.34695707037784596 occupation=Other-service
-0.947668840904156 0.07428253181883004 occupation=Sales
0.5058474417129877 0.0484066693683034 occupation=Exec-managerial
-0.2772691961627112 -0.4689829178127989 occupation=Prof-specialty
0.8417350199416798 0.6540991875355879 occupation=Handlers-cleaners
0.404589969610861 0.1757447237837364 occupation=Machine-op-inspct
0.9508819036736624 0.11997584336101719 occupation=Adm-clerical
-0.08535788815377798 0.45151074895622156 occupation=Farming-fishing
0.10338521203467232 0.09674709444560858 occupation=Transport-moving
0.2957980067364654 0.3528419776584695 occupation=Priv-house-serv
0.24178277501663703 -0.7321052756946191 occupation=Protective-serv
0.9910805324912768 -0.17500621065568 occupation=Armed-Forces
-0.5213600688238764 0.3760012395360297 relationship=Wife
0.4092942245890232 -0.4255617676531045 relationship=Own-child
-0.5874000065375087 -0.6095321863271301 relationship=Husband
0.46219874846534115 -0.6259329936373532 relationship=Not-in-family
-0.6363042666836087 -0.5538209179000324 relationship=Other-relative
-0.7466655944458869 -0.04086833041728544 relationship=Unmarried
-0.933311601665872 -0.6395542422666223 race=White
0.5485158152574598 0.5061621385913349 race=Asian-Pac-Islander
-0.39724852167072444 0.27765861470914954 race=Amer-Indian-Eskimo
0.23275465619538904 0.383002909804836 race=Other
0.4672273898269743 0.8854137366925543 race=Black
-0.8478635157331138 -0.7615432567762306 sex
0.2054633076780319 0.49905578235265646 capital-gain
-0.23515112155135798 -0.08166443715403338 capital-loss
0.5096472062049924 -0.35097290345648635 hours-per-week
0.31478161208677213 -0.5267385663634501 native-country=United-States
-0.9643692232290142 0.3712436468428779 native-country=Cambodia
0.9442824394637481 -0.5466539130233281 native-country=England
-0.5827904980257701 -0.34216169631071125 native-country=Puerto-Rico
0.6488958578315542 0.5256756179948385 native-country=Canada
0.4422450943867624 0.15565339698117353 native-country=Germany
-0.66587094784139 -0.5691496427735152 native-country=Outlying-US(Guam-USVI-etc)
0.495129892269341 -0.3967754385882698 native-country=India
0.7691161638755943 0.6119459760703416 native-country=Japan
-0.9830799040692779 -0.7071888502182604 native-country=Greece
-0.03011556416779393 0.16918467486764954 native-country=South
-0.2897280832933222 0.37019042830553417 native-country=China
-0.27010078859453723 -0.2488966721303707 native-country=Cuba
-0.18788234483109778 -0.40191907899638624 native-country=Iran
0.6105748671534901 0.6915891644957568 native-country=Honduras
-0.767419119747456 0.58458669743224 native-country=Philippines
-0.10887881939868338 -0.7859052566324933 native-country=Italy
0.44246975352031526 0.9100997668728741 native-country=Poland
-0.3441550182105708 0.39065407686764986 native-country=Jamaica
-0.6189309558434739 0.2875511906323447 native-country=Vietnam
-0.5130196050158438 0.27376707848598647 native-country=Mexico
-0.48310975875981343 0.29340630062007866 native-country=Portugal
-0.029824791292007324 -0.8076830060200726 native-country=Ireland
-0.33869863161711833 -0.5392567133014439 native-country=France
0.4645471876587499 0.565700098604738 native-country=Dominican-Republic
-0.18794051277866153 -0.9997202107929191 native-country=Laos
0.11514385049982434 0.15929279168529398 native-country=Ecuador
-0.23702585272848675 0.19820996800637136 native-country=Taiwan
-0.11317740260755604 -0.13597259242161042 native-country=Haiti
-0.5017436477868904 0.9378227048842804 native-country=Columbia
0.18791498453322797 -0.31329358568937726 native-country=Hungary
-0.4946818659504988 0.8304858350336994 native-country=Guatemala
0.3611814599661165 0.5080230573881817 native-country=Nicaragua
0.5664020584374283 0.36483467478323206 native-country=Scotland
0.5988993824609496 0.5930905025961484 native-country=Thailand
0.7746984519102091 -0.7462037601607561 native-country=Yugoslavia
0.5575929297469859 -0.9156251545278895 native-country=El-Salvador
0.3805713848115928 0.9590422363659463 native-country=Trinadad&Tobago
0.6938003970457625 0.4978000879830342 native-country=Peru
0.49292508402854285 -0.898002476094399 native-country=Hong
0.9220256828367073 -0.7232972954587442 native-country=Holand-Netherlands
Hidden Weights:
0.13502307668570213 -0.09871284198910724
-0.41357295814423267 0.22115438242671104
>50K <=50K
Error sum for iteration 100 = 726.8129985876676
Error sum for iteration 200 = 732.1236261774096
Error sum for iteration 300 = 732.6390608710997
Error sum for iteration 400 = 732.6427498458503
Error sum for iteration 500 = 734.9875146051492
Error sum for iteration 600 = 739.5867132127312
Error sum for iteration 700 = 744.6555478682141
Error sum for iteration 800 = 748.3310769865897
Error sum for iteration 900 = 750.0615867333437
Error sum for iteration 1000 = 750.1000927006296
Error sum for iteration 1100 = 748.8814033389696
Error sum for iteration 1200 = 746.8301575296115
Error sum for iteration 1300 = 744.2727275437326
Error sum for iteration 1400 = 741.3906856007353
Error sum for iteration 1500 = 738.2976349638006
Error sum for iteration 1600 = 735.0933057103384
Error sum for iteration 1700 = 731.8503988178481
Error sum for iteration 1800 = 728.6388481276563
Error sum for iteration 1900 = 725.5087190516746
Error sum for iteration 2000 = 722.477137061955
Error sum for iteration 2100 = 719.5482776697482
Error sum for iteration 2200 = 716.7231497298209
Error sum for iteration 2300 = 713.9858286880409
Error sum for iteration 2400 = 711.3218037879016
Error sum for iteration 2500 = 708.6973580953753
Error sum for iteration 2600 = 706.0913415092236
Error sum for iteration 2700 = 703.5314488509753
Error sum for iteration 2800 = 701.0840341903979
Error sum for iteration 2900 = 698.7988293422443
Error sum for iteration 3000 = 696.6739255897921
Error sum for iteration 3100 = 694.6698662370293
Error sum for iteration 3200 = 692.7570887240192
Error sum for iteration 3300 = 690.9123015763537
Error sum for iteration 3400 = 689.1216169817769
Error sum for iteration 3500 = 687.3759641063815
Error sum for iteration 3600 = 685.6702320292635
Error sum for iteration 3700 = 684.0016018244787
Error sum for iteration 3800 = 682.370715706901
Error sum for iteration 3900 = 680.781172119851
Error sum for iteration 4000 = 679.2286115265754
Error sum for iteration 4100 = 677.7117402986325
Error sum for iteration 4200 = 676.2363867604713
Error sum for iteration 4300 = 674.793788152391
Error sum for iteration 4400 = 673.383708832417
Error sum for iteration 4500 = 672.010236212828
Error sum for iteration 4600 = 670.6713839865436
Error sum for iteration 4700 = 669.3691596961244
Error sum for iteration 4800 = 668.1036648840658
Error sum for iteration 4900 = 666.8790412888955
Error sum for iteration 5000 = 665.6946600022088
Error sum for iteration 5100 = 664.5500771683724
Error sum for iteration 5200 = 663.4454555168614
Error sum for iteration 5300 = 662.3774877322388
Error sum for iteration 5400 = 661.3496999548189
Error sum for iteration 5500 = 660.3586680392893
Error sum for iteration 5600 = 659.4014963890313
Error sum for iteration 5700 = 658.4771039901551
Error sum for iteration 5800 = 657.5847429756383
Error sum for iteration 5900 = 656.7243691664265
Error sum for iteration 6000 = 655.8925568964886
Options: -I 6000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1772442673
-H 2
-M 0.01
Input Weights:
-1.2736188561929218 -4.686830508876852 age
0.21447823074231748 1.3224943329039092 workclass=Private
1.1801034898659133 -0.19403799846882694 workclass=Self-emp-not-inc
-0.3365513028291272 0.8891760088040178 workclass=Self-emp-inc
-0.17917917398662506 -3.5775067981015227 workclass=Federal-gov
0.732049699476179 1.3437857399948443 workclass=Local-gov
0.5906606022563828 -1.8396201497516327 workclass=State-gov
1.2100566902489636 0.2729388342605265 workclass=Without-pay
-0.18325780561847274 -0.7091734037282529 workclass=Never-worked
-0.5792658037326089 3.751752445476623 fnlwgt
-0.24945888809229003 -0.41015217106060786 education=Bachelors
0.2550239431600839 0.3561865120387013 education=Some-college
1.0064375445891844 -1.049782825227098 education=11th
-0.06889874305111904 0.9948332957073758 education=HS-grad
-1.6331416744552698 0.7769850458348464 education=Prof-school
-0.12375218008010443 -0.36844658153871845 education=Assoc-acdm
0.12653279190625757 -0.3115536203148085 education=Assoc-voc
0.7186998072872769 -2.3088507222490264 education=9th
0.5160037888447003 -0.14512520621034036 education=7th-8th
3.401220704988871 -0.9610312139367385 education=12th
-0.5701798848677021 0.6825857478371236 education=Masters
3.1683761968431154 1.9226340300402625 education=1st-4th
0.28768765549570774 2.6445512961191064 education=10th
-1.479237684528201 0.48802116857064537 education=Doctorate
-0.5508842259901429 -4.385133950553822 education=5th-6th
0.9721055773656552 0.45958202023611233 education=Preschool
-2.5597826209938996 1.0736854276897514 education-num
-1.5919073196061193 -3.079638813815824 marital-status=Married-civ-spouse
1.1281503183508257 0.7482222208505561 marital-status=Divorced
1.6099938517389187 -0.8204148693497505 marital-status=Never-married
0.45193652828221037 0.7795901178292403 marital-status=Separated
0.7915142685301986 0.7891130700182797 marital-status=Widowed
2.5485551148384467 -1.6475701282847248 marital-status=Married-spouse-absent
0.43254390891166955 0.6401762357299761 marital-status=Married-AF-spouse
-0.46939393241754157 0.25558645673557706 occupation=Tech-support
0.198545688903544 0.03445759908489317 occupation=Craft-repair
1.641264804674034 -3.5016048451658786 occupation=Other-service
-0.020326212377937317 0.7107110606685014 occupation=Sales
-0.6089398090873754 -0.018382768795706585 occupation=Exec-managerial
0.20539761905550538 -0.7301952976533117 occupation=Prof-specialty
0.47657755277806324 1.9205429286537574 occupation=Handlers-cleaners
0.7407762155333703 -0.6339471373986713 occupation=Machine-op-inspct
0.5413777450130023 0.39929462839266006 occupation=Adm-clerical
2.099848000138782 0.44732701741558384 occupation=Farming-fishing
0.48753900456109 0.9631601808545894 occupation=Transport-moving
1.5998420556618986 -0.30903035718264343 occupation=Priv-house-serv
-0.04486926947472391 -2.617127596731445 occupation=Protective-serv
1.470635490359439 -0.2980737797916579 occupation=Armed-Forces
-1.621979690223394 3.3827482467389776 relationship=Wife
0.9688198018459035 -1.8267571049811164 relationship=Own-child
0.6909986364632605 1.0450115304953695 relationship=Husband
0.004778649204864013 -1.3721115613760755 relationship=Not-in-family
1.0602144339153718 -2.842541286460552 relationship=Other-relative
0.6450921869861428 -2.250754512245846 relationship=Unmarried
-0.22591287081416456 -0.3697424672576299 race=White
-2.0659834705415254 3.7759661017499138 race=Asian-Pac-Islander
1.2028106112372938 -2.433416560621801 race=Amer-Indian-Eskimo
4.274712956836864 -1.7318376170121763 race=Other
-0.1401114344034146 0.32878752148686174 race=Black
0.17735005879081456 -2.2839067864595055 sex
-5.843871766818479 -1.306099155071729 capital-gain
-2.1882310511704692 -1.338908798340327 capital-loss
-4.246365946499818 5.475449560990756 hours-per-week
-0.41100919291391846 0.11542982393863874 native-country=United-States
-4.106164036148944 0.2485583030556415 native-country=Cambodia
0.5870655111878788 -0.12866527026040975 native-country=England
-0.44242117885570414 -0.22003526095476628 native-country=Puerto-Rico
-0.9371849675948679 -1.5402035983730726 native-country=Canada
-0.80266548173408 2.2777835504385475 native-country=Germany
0.8393407158140442 -0.308829055895969 native-country=Outlying-US(Guam-USVI-etc)
2.51436847114974 0.4016473142609927 native-country=India
4.0669885475352086 -0.6564842212215787 native-country=Japan
2.3687990487559722 -0.01816756481364008 native-country=Greece
-0.8302964115265099 1.1560550108909295 native-country=South
1.052966055373296 0.33510379799627066 native-country=China
0.5714958775694393 0.9390131644122609 native-country=Cuba
-2.629893786431263 -0.8619549978321558 native-country=Iran
1.680349084560821 -0.7868701691438944 native-country=Honduras
-2.0240015712571537 1.9432032217272124 native-country=Philippines
-2.1142460888135886 -0.7368588405830986 native-country=Italy
1.431423540728657 -2.799476632776808 native-country=Poland
-3.976378856259199 3.258433788733575 native-country=Jamaica
0.7149397576141345 1.0192480894845193 native-country=Vietnam
1.2190204215858302 -1.2786878320836368 native-country=Mexico
-0.5194802986271561 -1.3193096673324756 native-country=Portugal
-1.6589511414813263 -1.6558648087518517 native-country=Ireland
-0.8774088322042841 -0.7309155936129604 native-country=France
-0.5371199639300982 -2.735616187797421 native-country=Dominican-Republic
1.114859018684402 -0.664737023577787 native-country=Laos
0.7616529469589117 0.018977818031862964 native-country=Ecuador
1.350884150437866 -3.223809923500327 native-country=Taiwan
2.693342082454312 0.9284531122817411 native-country=Haiti
4.939122757150911 1.5628745394118297 native-country=Columbia
0.4284979117923036 -0.45505713793461483 native-country=Hungary
-2.07418737825069 0.6002944047919313 native-country=Guatemala
1.956252880620811 0.4552733732909087 native-country=Nicaragua
0.980268596550529 0.26264809779736825 native-country=Scotland
2.791877765561031 -3.0852557021658016 native-country=Thailand
1.5610669481732793 -0.8612020584780957 native-country=Yugoslavia
0.22910067158342037 -0.7630510479407819 native-country=El-Salvador
1.0488204242581172 1.0659157254667786 native-country=Trinadad&Tobago
-0.9345169501355852 3.967727123564094 native-country=Peru
0.6700329744081815 -1.1615348125594325 native-country=Hong
1.162608610095656 -0.8650608477040913 native-country=Holand-Netherlands
Hidden Weights:
-4.025861171802073 4.025861171802071
-6.488450015273577 6.488450015273577
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4275 85.2443 %
Incorrectly Classified Instances 740 14.7557 %
Mean absolute error 0.2589
Root mean squared error 0.3288
Relative absolute error 70.1266 %
Root relative squared error 76.518 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
697 528 | a = >50K
212 3578 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13565 83.318 %
Incorrectly Classified Instances 2716 16.682 %
Mean absolute error 0.2706
Root mean squared error 0.3455
Relative absolute error 74.1026 %
Root relative squared error 81.3249 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2029 1817 | a = >50K
899 11536 | b = <=50K
|
|
|
