|
|
Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.0112
-S 1799616057
-H 2
-M 0.01
Input Weights:
-0.4425994218442728 -0.13000975053569164 age
-0.4322163994671804 -0.07363777486591627 workclass=Private
-0.7550734487211122 -0.8984455945837988 workclass=Self-emp-not-inc
0.19541375727048682 -0.8650543343046975 workclass=Self-emp-inc
0.577994534740881 0.17484270661309131 workclass=Federal-gov
-0.7973474532514471 0.27788355106878604 workclass=Local-gov
-0.9051683364481884 0.9638028239603669 workclass=State-gov
0.19377988279700298 -0.6971121868912731 workclass=Without-pay
0.26533534510552914 0.7334450607645882 workclass=Never-worked
0.047382059837255186 -0.7454759409750444 fnlwgt
0.9837764330039438 0.7136728818839899 education=Bachelors
0.8442714174193158 0.542656252238332 education=Some-college
-0.572346371520418 -0.5969578924245551 education=11th
-0.5698367096563173 -0.7217884246596242 education=HS-grad
-0.2864621657556645 -0.21145234763935639 education=Prof-school
0.3423552511808716 -0.8891267103626812 education=Assoc-acdm
0.029379862093319442 0.2780499513776431 education=Assoc-voc
-0.14516410655549916 -0.8796478557070178 education=9th
0.3870879457632186 -0.41172111766689623 education=7th-8th
-0.8384506396792 -0.6707788381326258 education=12th
0.6727267568387396 -0.2673628387015101 education=Masters
0.24834026433285028 0.9869417239842213 education=1st-4th
0.09671684078393827 -0.05284471608145069 education=10th
-0.955452329542491 -0.44357774355126933 education=Doctorate
-0.24606631176642924 -0.563433503255236 education=5th-6th
0.9581945946558192 -0.5802420504912695 education=Preschool
-0.9466123118653531 0.4909661897306796 education-num
0.06587169803187742 0.7809559043511325 marital-status=Married-civ-spouse
0.9977245323791688 -0.6889663502290737 marital-status=Divorced
-0.049869122096874774 0.621480792617227 marital-status=Never-married
0.38138504677966245 0.9992169627673926 marital-status=Separated
-0.42736991540835323 0.3691198388431849 marital-status=Widowed
0.0989227556864789 -0.9427458679463476 marital-status=Married-spouse-absent
-0.5217101504949313 -0.8495174469759021 marital-status=Married-AF-spouse
-0.9535436375655153 0.5273180154229618 occupation=Tech-support
0.10097980890685254 0.05968271107609713 occupation=Craft-repair
0.16305644333551128 0.9940650634150014 occupation=Other-service
-0.23985916528860285 0.20641690066860985 occupation=Sales
-0.4327118092395661 0.11583479614082548 occupation=Exec-managerial
-0.9055993165404677 -0.20948355105038052 occupation=Prof-specialty
-0.4618222591510699 -0.5181744751001596 occupation=Handlers-cleaners
0.8855565973345454 -0.05937158101950857 occupation=Machine-op-inspct
-0.7207007780746477 0.42365149721552386 occupation=Adm-clerical
-0.5840904214845086 -0.6257624860922817 occupation=Farming-fishing
0.4680114852533568 -0.8115871480286618 occupation=Transport-moving
0.32424119759203207 -0.6242059256005899 occupation=Priv-house-serv
0.976372272465239 -0.43083234423174144 occupation=Protective-serv
0.24985618543563826 0.40902559144367445 occupation=Armed-Forces
0.7719382263982482 -0.1308707108499605 relationship=Wife
0.9679724415395885 -0.3929012395513176 relationship=Own-child
-0.24971093105397335 -0.1515884798536613 relationship=Husband
-0.9700418198690539 -0.8825690910322523 relationship=Not-in-family
-0.5297921678634392 -0.8141513494145634 relationship=Other-relative
-0.3461129008775041 0.9826381183338635 relationship=Unmarried
-0.2207291792109214 0.8212201055716168 race=White
0.5087492749224973 -0.949880181670647 race=Asian-Pac-Islander
0.9231701815463174 -0.6182521504442415 race=Amer-Indian-Eskimo
0.5623028679903579 0.9236315215943256 race=Other
-0.31383024958425465 0.5164017756708024 race=Black
0.9996286141177819 0.7731507947354737 sex
0.641200210675896 0.35648465524175044 capital-gain
-0.23266411289380562 -0.054579546905950016 capital-loss
-0.10650365544886697 0.20406209629390037 hours-per-week
0.17621710657703993 -0.22348801052442968 native-country=United-States
-0.5526150490366439 0.8526977078719831 native-country=Cambodia
0.5408391400433195 -0.7218845049491265 native-country=England
0.1466075979768766 -0.6819600308505487 native-country=Puerto-Rico
-0.3952606610687115 -0.10170615511064085 native-country=Canada
-0.8620681991632284 -0.9317791674631031 native-country=Germany
-0.23004785614551948 0.2611486316377316 native-country=Outlying-US(Guam-USVI-etc)
0.058023506481259535 -0.3163333314988759 native-country=India
0.4136688385186751 -0.44699096714828657 native-country=Japan
0.18564607273488787 0.0494199945350704 native-country=Greece
0.04581750484258551 -0.6011236336469006 native-country=South
0.14497782045556495 0.2158250466539997 native-country=China
0.17088624448287204 -0.015785943360227206 native-country=Cuba
0.3697185068133011 -0.3004246087423581 native-country=Iran
-0.38421258696943994 -0.3852302798475258 native-country=Honduras
-0.6110488787633184 0.6995535983032031 native-country=Philippines
-0.8578809384309856 0.630726776763737 native-country=Italy
0.49045254794485293 0.1522482437302619 native-country=Poland
-0.5362940609262841 -0.17038026032304288 native-country=Jamaica
-0.15992573552031653 0.15020378311610938 native-country=Vietnam
0.6454447327163861 0.5023749836263571 native-country=Mexico
-0.4595472654491686 0.6130868878308346 native-country=Portugal
-0.7073785380103594 -0.48542517652770534 native-country=Ireland
-0.779069020219018 -0.427574026084393 native-country=France
-0.804844481057847 0.20535184104086257 native-country=Dominican-Republic
0.8541853739867296 -0.43545841117264783 native-country=Laos
0.13154699436431638 0.3327192794657028 native-country=Ecuador
0.8534291486023511 0.697024409119422 native-country=Taiwan
-0.4557004117161294 0.9388938792295629 native-country=Haiti
0.8457145645476989 0.45647518287247646 native-country=Columbia
0.6726531965001163 -0.6167077027244072 native-country=Hungary
0.5390507350477145 -0.5280125861100582 native-country=Guatemala
-0.4112724486982722 0.40413944259646595 native-country=Nicaragua
0.9698051446317428 -0.32832999690946374 native-country=Scotland
-0.7324563589537028 -0.09946346955031249 native-country=Thailand
0.26693096325292576 -0.2812355753558282 native-country=Yugoslavia
0.3864894951947231 -0.8773355363219764 native-country=El-Salvador
-0.49552237994890036 0.6587484139090423 native-country=Trinadad&Tobago
-0.22897166109780276 -0.46544316085415494 native-country=Peru
0.8058583296801056 0.4371276750944979 native-country=Hong
-0.7250561148789059 0.15633380266779984 native-country=Holand-Netherlands
Hidden Weights:
-0.8819242086943808 -0.44553910663355145
-0.6445727538281376 -0.24827932060373814
>50K <=50K
Error sum for iteration 100 = 739.3795633066526
Error sum for iteration 200 = 757.4874095761019
Error sum for iteration 300 = 765.3577052627797
Error sum for iteration 400 = 769.5923139137633
Error sum for iteration 500 = 775.2100296295584
Error sum for iteration 600 = 785.4504784437648
Error sum for iteration 700 = 796.1186297126875
Error sum for iteration 800 = 803.9200018115731
Error sum for iteration 900 = 809.6739574402263
Error sum for iteration 1000 = 813.878100786414
Error sum for iteration 1100 = 816.6983422307541
Error sum for iteration 1200 = 818.2577988972786
Error sum for iteration 1300 = 818.6825046010762
Error sum for iteration 1400 = 818.1211679809302
Error sum for iteration 1500 = 816.7454266852155
Error sum for iteration 1600 = 814.7406262821721
Error sum for iteration 1700 = 812.2776913831659
Error sum for iteration 1800 = 809.4878580011169
Error sum for iteration 1900 = 806.4761229486458
Error sum for iteration 2000 = 803.3078958227809
Error sum for iteration 2100 = 800.0313312343322
Error sum for iteration 2200 = 796.6923974674058
Error sum for iteration 2300 = 793.3285523687712
Error sum for iteration 2400 = 789.960536338156
Error sum for iteration 2500 = 786.6010473561715
Error sum for iteration 2600 = 783.2628723590655
Error sum for iteration 2700 = 779.9751039111668
Error sum for iteration 2800 = 776.8048377346879
Error sum for iteration 2900 = 773.8078336639805
Error sum for iteration 3000 = 770.9905542415028
Error sum for iteration 3100 = 768.3252768216025
Error sum for iteration 3200 = 765.7797524219754
Error sum for iteration 3300 = 763.3307430095439
Error sum for iteration 3400 = 760.9604630877228
Error sum for iteration 3500 = 758.6557983587734
Error sum for iteration 3600 = 756.3968397473953
Error sum for iteration 3700 = 754.1743322074619
Error sum for iteration 3800 = 751.9841903488569
Error sum for iteration 3900 = 749.8205502121433
Error sum for iteration 4000 = 747.6846089927056
Error sum for iteration 4100 = 745.5861328930446
Error sum for iteration 4200 = 743.5280179010844
Error sum for iteration 4300 = 741.5206628739655
Error sum for iteration 4400 = 739.5718705509154
Error sum for iteration 4500 = 737.6847956362798
Error sum for iteration 4600 = 735.8602406943941
Error sum for iteration 4700 = 734.0993751585463
Error sum for iteration 4800 = 732.4015826880913
Error sum for iteration 4900 = 730.7659698342752
Error sum for iteration 5000 = 729.1904841566319
Error sum for iteration 5100 = 727.6727584240742
Error sum for iteration 5200 = 726.2105785907494
Error sum for iteration 5300 = 724.8016477182942
Error sum for iteration 5400 = 723.4438842046266
Error sum for iteration 5500 = 722.1358009786827
Error sum for iteration 5600 = 720.8738430048959
Error sum for iteration 5700 = 719.6548967008047
Error sum for iteration 5800 = 718.4771712389331
Error sum for iteration 5900 = 717.3377749577702
Error sum for iteration 6000 = 716.2341297692601
Error sum for iteration 6100 = 715.1643204817299
Error sum for iteration 6200 = 714.127171858972
Error sum for iteration 6300 = 713.1213171253522
Error sum for iteration 6400 = 712.1437372541214
Error sum for iteration 6500 = 711.1926302458686
Error sum for iteration 6600 = 710.2664673713156
Error sum for iteration 6700 = 709.3637872869407
Error sum for iteration 6800 = 708.4832167805163
Error sum for iteration 6900 = 707.6233542223486
Error sum for iteration 7000 = 706.7826273638696
Error sum for iteration 7100 = 705.9599850883662
Error sum for iteration 7200 = 705.1547963154409
Error sum for iteration 7300 = 704.3659680136898
Error sum for iteration 7400 = 703.5923089118295
Error sum for iteration 7500 = 702.8330256465164
Error sum for iteration 7600 = 702.0873921593416
Error sum for iteration 7700 = 701.3548087123696
Error sum for iteration 7800 = 700.6350412633494
Error sum for iteration 7900 = 699.9275920173347
Error sum for iteration 8000 = 699.2317488094737
Error sum for iteration 8100 = 698.5467581525144
Error sum for iteration 8200 = 697.872557137809
Error sum for iteration 8300 = 697.2086091437915
Error sum for iteration 8400 = 696.5544553531934
Error sum for iteration 8500 = 695.9098899529982
Error sum for iteration 8600 = 695.2746164948919
Error sum for iteration 8700 = 694.648229296781
Error sum for iteration 8800 = 694.0306127644603
Error sum for iteration 8900 = 693.4213805746408
Error sum for iteration 9000 = 692.8204382417479
Error sum for iteration 9100 = 692.2278657493763
Error sum for iteration 9200 = 691.6432235336048
Error sum for iteration 9300 = 691.066274911227
Error sum for iteration 9400 = 690.4968415916728
Error sum for iteration 9500 = 689.934781448105
Error sum for iteration 9600 = 689.3799781601239
Error sum for iteration 9700 = 688.832554949057
Error sum for iteration 9800 = 688.2922353221568
Error sum for iteration 9900 = 687.7589832326253
Error sum for iteration 10000 = 687.232512266747
Options: -I 10000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 10000
-E 0.0112
-S 1799616057
-H 2
-M 0.01
Input Weights:
-2.11729505551683 -2.0452531840427306 age
0.16882460055760334 -0.9560155579887891 workclass=Private
0.6868162304994333 -2.164887661486299 workclass=Self-emp-not-inc
-0.22164294012039357 0.34424063144142175 workclass=Self-emp-inc
-0.12293667337988486 2.994794970154879 workclass=Federal-gov
0.7306201543386057 -0.6511210822139274 workclass=Local-gov
0.6789090617321965 4.433131133903411 workclass=State-gov
0.48642997383683007 -0.36340104564486253 workclass=Without-pay
0.5539778698083149 1.0504092072423716 workclass=Never-worked
-0.06445524283810111 -0.29962244116972025 fnlwgt
0.34073010187023206 0.06827345053979973 education=Bachelors
0.8201463626209293 1.2446515471135229 education=Some-college
1.2608183801704347 3.2085019769798637 education=11th
0.068322453758705 -2.482720283551145 education=HS-grad
-1.5622686834632409 -2.5184140545119025 education=Prof-school
0.34129331474619257 0.44918969150666166 education=Assoc-acdm
0.6936372336728024 5.266628067767602 education=Assoc-voc
1.3398169820521582 4.4611328573661595 education=9th
-0.29024782699198615 -3.852347837877879 education=7th-8th
2.7623513848836967 1.8307032170570972 education=12th
-0.23904713212515674 -2.0273712198029465 education=Masters
4.152979118043037 1.3517935267121142 education=1st-4th
-2.098629021365417 -7.063564991544781 education=10th
-0.6546870716889851 0.675076545497067 education=Doctorate
-0.6053053441666837 3.508284605959341 education=5th-6th
1.5465810724524092 -0.2802908129253587 education=Preschool
-2.886949723374689 0.18018360483374182 education-num
-1.8447143198570601 0.731776763476018 marital-status=Married-civ-spouse
0.448848729208225 -1.6775598131768092 marital-status=Divorced
1.3416881238087945 1.1738849389252626 marital-status=Never-married
0.7978452963696334 2.609725286003716 marital-status=Separated
0.6798480982161782 2.246551502883616 marital-status=Widowed
2.0526993650686434 0.8852057581237607 marital-status=Married-spouse-absent
1.3983774226074395 -0.9255784056395931 marital-status=Married-AF-spouse
-0.3968285542643605 3.7883297948408385 occupation=Tech-support
0.11241146020251223 0.5959098566780949 occupation=Craft-repair
0.6891456228816017 -0.0076125033407819205 occupation=Other-service
-0.19578439489782912 -1.030010270703146 occupation=Sales
-0.7675910170278591 -0.6389320307102998 occupation=Exec-managerial
-0.2637524427203605 -1.6017377929308354 occupation=Prof-specialty
0.8093985242781048 0.30897321115010584 occupation=Handlers-cleaners
0.4882210494923419 -0.24438991655594416 occupation=Machine-op-inspct
0.49817263752950924 0.3875615209663937 occupation=Adm-clerical
1.9135671587074683 1.0338045252569033 occupation=Farming-fishing
0.6917633483888332 2.115963402962375 occupation=Transport-moving
1.1067471396395916 0.2623716268461746 occupation=Priv-house-serv
-0.35930213194394206 0.7378575193731274 occupation=Protective-serv
0.893713746177595 0.7216993429414582 occupation=Armed-Forces
-1.0647373255713573 -3.3243614849294802 relationship=Wife
1.249667461839231 0.4556159151388312 relationship=Own-child
1.0967440129048973 0.222408648318626 relationship=Husband
0.32754988822913905 0.3471067079465221 relationship=Not-in-family
1.166310026102995 3.936155707467501 relationship=Other-relative
0.9097141306116178 1.411129804380769 relationship=Unmarried
0.2517398857644123 1.6856116836189246 race=White
-0.9468048817062533 -1.3136176652526934 race=Asian-Pac-Islander
0.4398193819335284 -1.8601970132309655 race=Amer-Indian-Eskimo
4.772068204591164 2.487458959302253 race=Other
0.6951931262205578 3.8143990104968633 race=Black
-0.5057122032479093 -0.727004034489914 sex
-5.643886054139837 5.103744920735376 capital-gain
-1.3936823346556322 5.341957680736452 capital-loss
-5.015991218138052 -6.933759167674217 hours-per-week
-0.734561022686124 -1.6735416020532565 native-country=United-States
-3.438317588357617 2.990022686818424 native-country=Cambodia
0.3466366615486304 0.24530386099833346 native-country=England
-0.6420515045405193 0.14338815865663318 native-country=Puerto-Rico
-1.1830926836878917 2.0248851638123067 native-country=Canada
-1.4720127300138526 -5.936387166972757 native-country=Germany
0.8646938939091309 0.5201380378953405 native-country=Outlying-US(Guam-USVI-etc)
2.4346933238115995 -1.0823270478107543 native-country=India
3.718145178165622 2.56287790639409 native-country=Japan
2.233522767141672 3.1070440091973914 native-country=Greece
-0.9206070934774307 -1.5011892166335032 native-country=South
-0.21138002043426068 -3.15043049056379 native-country=China
1.2285687672817442 0.22024407468534726 native-country=Cuba
-2.344537667818627 0.6269788143998594 native-country=Iran
1.575506455143619 1.3058125999166053 native-country=Honduras
-0.7556203970879739 -0.35388286293713234 native-country=Philippines
-1.6875776259182855 1.1171439821785174 native-country=Italy
0.8970199117992719 1.1025317165298603 native-country=Poland
-2.630312363165529 1.2663603240174384 native-country=Jamaica
-0.12727578935634448 -1.7553469980120702 native-country=Vietnam
1.010485731492546 0.552230673429905 native-country=Mexico
-1.1863884322370433 1.613616309132567 native-country=Portugal
-1.485921704375945 0.677170561299628 native-country=Ireland
-1.1327823512263098 0.06596700443424643 native-country=France
-0.6917845229520576 2.8628123367008675 native-country=Dominican-Republic
2.497890925804798 -0.9051663818242168 native-country=Laos
0.9746682991046475 0.5720585413037222 native-country=Ecuador
0.6716749078948842 3.4078793251061543 native-country=Taiwan
2.502222355394267 0.7813280944512004 native-country=Haiti
5.716551565132095 0.46603057879718807 native-country=Columbia
0.9612957212030113 -0.2997435562464994 native-country=Hungary
-2.405689746458533 -0.5373521369809259 native-country=Guatemala
2.1905666248324613 0.6261362464205414 native-country=Nicaragua
1.4409262022358946 -0.04468269354918368 native-country=Scotland
0.7865469114913569 -1.2424582404553248 native-country=Thailand
1.8127318002753068 -0.2582951567784909 native-country=Yugoslavia
0.02016972777720446 2.787170176543735 native-country=El-Salvador
1.5495988626868873 0.5882148470332649 native-country=Trinadad&Tobago
0.39676501129420494 -0.21286203843408857 native-country=Peru
1.1237198583392523 0.750291832358463 native-country=Hong
-0.43641359017582104 0.47329794914579426 native-country=Holand-Netherlands
Hidden Weights:
-4.237760987427032 4.237760987427032
3.6382866269693706 -3.638286626969372
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4285 85.4437 %
Incorrectly Classified Instances 730 14.5563 %
Mean absolute error 0.2641
Root mean squared error 0.3291
Relative absolute error 71.5144 %
Root relative squared error 76.605 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
798 427 | a = >50K
303 3487 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13525 83.0723 %
Incorrectly Classified Instances 2756 16.9277 %
Mean absolute error 0.2771
Root mean squared error 0.3478
Relative absolute error 75.8935 %
Root relative squared error 81.8701 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2299 1547 | a = >50K
1209 11226 | b = <=50K
|
|
|
