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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-0.7172310262759221 0.3031289501112886 age
-0.9099009102231739 -0.3615043237388955 workclass=Private
0.6233518400265556 0.7356924465558685 workclass=Self-emp-not-inc
0.34398923911676915 -0.5713032921265508 workclass=Self-emp-inc
0.9344669117459585 -0.49987660489532004 workclass=Federal-gov
0.2613374361704721 0.9373797839305822 workclass=Local-gov
0.20421350320993592 -0.7265552185582382 workclass=State-gov
-0.9320732690040348 0.15964078878925547 workclass=Without-pay
0.22509799278042042 -0.11820502500725971 workclass=Never-worked
-0.7995129590166861 -0.06392427448015048 fnlwgt
0.5712966076303043 0.0999451178001689 education=Bachelors
0.7598135795057055 -0.24908514684017713 education=Some-college
0.6113185625943587 0.7307546637843494 education=11th
-0.564619594940843 -0.4967320991226194 education=HS-grad
0.8101053079465279 -0.030899522520335232 education=Prof-school
-0.10043150033090797 0.2382887106188487 education=Assoc-acdm
-0.10083675430440153 0.012738134432721981 education=Assoc-voc
-0.3366821738258521 0.010226169902788573 education=9th
-0.3218807487578115 -0.6479248359848067 education=7th-8th
0.10709605497979724 0.40330713871622903 education=12th
-0.9528754579474468 0.20859444944429995 education=Masters
-0.6855530426601608 0.36271967894149926 education=1st-4th
0.11658015854407577 -0.026950125673270042 education=10th
0.12167143189957774 -0.5411128384452195 education=Doctorate
-0.8727685418812949 -0.7862869648365736 education=5th-6th
-0.14319429132298356 0.564769598543502 education=Preschool
-0.3629564354240098 0.5947617605328548 education-num
0.19312370762740683 0.1778574289804018 marital-status=Married-civ-spouse
0.6574449748280049 0.7970149880598152 marital-status=Divorced
0.7248025163292986 -0.2556432662979087 marital-status=Never-married
-0.21472853007160753 -0.08197774942946046 marital-status=Separated
0.8417880601706742 0.7900610799495846 marital-status=Widowed
0.9815789062177698 -0.28484855890226 marital-status=Married-spouse-absent
0.5126755463704415 -0.6534121414126248 marital-status=Married-AF-spouse
-0.4333169954669309 -0.9683260655587576 occupation=Tech-support
0.17271212911367706 -0.03221349683065622 occupation=Craft-repair
-0.2266546332868573 -0.3814341398362213 occupation=Other-service
-0.728263828506178 -0.08728202469286117 occupation=Sales
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0.5956185763493447 0.15092943195741038 occupation=Prof-specialty
0.07901446405772217 -0.63540541417098 occupation=Handlers-cleaners
0.3849687887815709 -0.4861853344019471 occupation=Machine-op-inspct
-0.7838829012905315 0.49559064680047005 occupation=Adm-clerical
0.9056408249056263 -0.6675698070770717 occupation=Farming-fishing
0.5885686836543254 -0.7312064383331627 occupation=Transport-moving
0.5648245061045134 0.49574161366553593 occupation=Priv-house-serv
-0.4147588136112317 0.21239112650532066 occupation=Protective-serv
-0.7791357343629799 0.23117208675245116 occupation=Armed-Forces
0.038122745211366604 -0.8208032544575261 relationship=Wife
0.029811455783727236 0.7175294395114793 relationship=Own-child
0.6432338811218834 0.23201422200049104 relationship=Husband
0.2512220484526171 0.5236659265218695 relationship=Not-in-family
0.7967710735970983 -0.9507740870308903 relationship=Other-relative
-0.1372492810546242 -0.07190775865879795 relationship=Unmarried
-0.6130781966676913 -0.8689498664437774 race=White
0.78930868498496 0.48748744639022745 race=Asian-Pac-Islander
-0.2210858157671589 -0.08651238260913896 race=Amer-Indian-Eskimo
-0.06166838126794216 -0.6733608664640904 race=Other
-0.32897279959979464 -0.06953602917832513 race=Black
0.16719129857543358 -0.9714257596751745 sex
0.8485083486834146 0.8367092723739726 capital-gain
0.6298670712772785 0.6900200334938016 capital-loss
0.25538911337770664 -0.435108123341309 hours-per-week
-0.28568587269834866 -0.37887013172546036 native-country=United-States
-0.15543004584510012 -0.4904190931737762 native-country=Cambodia
0.7649135845006605 0.7256366785908346 native-country=England
0.9265349209243243 0.49563838112796876 native-country=Puerto-Rico
0.9801062800586413 0.18302340504307058 native-country=Canada
-0.7423388127079069 0.7062855437883988 native-country=Germany
0.9966879824557622 0.5214395586960576 native-country=Outlying-US(Guam-USVI-etc)
-0.09991593762862605 -0.2582716173199324 native-country=India
0.6509202645791792 -0.6587867565655294 native-country=Japan
0.4249691467847878 -0.2029831671468545 native-country=Greece
-0.10702323480447173 -0.885077681055114 native-country=South
0.7671067568447778 0.550632678049958 native-country=China
0.6944423567866962 -0.08913572115953095 native-country=Cuba
0.8869862182016646 -0.0752029807738106 native-country=Iran
-0.38349868633251916 0.2909160297337716 native-country=Honduras
0.2417004356029031 -0.684949546036653 native-country=Philippines
-0.6942668777863863 0.7184690384173593 native-country=Italy
-0.7383143499759584 -0.6905739707989582 native-country=Poland
-0.9195337001037658 0.7433762381282465 native-country=Jamaica
0.8986884300171767 -0.8356001853367396 native-country=Vietnam
-0.2924284194594635 0.14342295373190073 native-country=Mexico
-0.357519515569112 -0.5675941476165243 native-country=Portugal
0.9102852674913637 -0.3007539439151359 native-country=Ireland
-0.04051529221263839 -0.08056940974050897 native-country=France
-0.22620870745249722 0.9341455663334803 native-country=Dominican-Republic
0.11414216388814902 -0.4147982393805585 native-country=Laos
0.4272429790670267 -0.9971303700518614 native-country=Ecuador
-0.009190046983155398 -0.20435808146301038 native-country=Taiwan
-0.2021865410944257 -0.026021081784524336 native-country=Haiti
-0.4937529698186305 0.4292163677156069 native-country=Columbia
0.19211845765045155 0.49732071228239194 native-country=Hungary
0.12508470381595016 -0.6240499242737632 native-country=Guatemala
0.5195974654037123 0.728736630945569 native-country=Nicaragua
0.9666091917827564 0.8193689604738899 native-country=Scotland
0.40656041715876734 0.3144016153051241 native-country=Thailand
-0.9070343031609227 0.945320061442626 native-country=Yugoslavia
0.7527438748555695 0.1019159002803407 native-country=El-Salvador
0.3375488551178256 0.1841875228254417 native-country=Trinadad&Tobago
-0.33272946804298975 -0.6020414946015065 native-country=Peru
-0.022367203545233805 0.2898381020090366 native-country=Hong
-0.38049765244852307 -0.6447731691204235 native-country=Holand-Netherlands
Hidden Weights:
0.20281632368780333 0.23554985999335654
-0.8429267453100822 -0.4900305478961644
>50K <=50K
Error sum for iteration 100 = 707.2018052907583
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.385253176952541 0.03568336349455919 age
0.5023866910857325 0.16335181130664875 workclass=Private
1.1681509408597222 0.5783049050587851 workclass=Self-emp-not-inc
-0.22786786706118772 -0.6092485243032256 workclass=Self-emp-inc
-0.09937389416843904 -0.6495532529192074 workclass=Federal-gov
0.8579845477480826 0.8097042416663948 workclass=Local-gov
0.7578184227314269 -0.6984333572815319 workclass=State-gov
-0.8213629731012414 0.16655957107292885 workclass=Without-pay
0.3325880672505268 -0.1123909040309841 workclass=Never-worked
-0.3828744265841814 -0.02487553922178348 fnlwgt
-0.12295370301906511 -0.28494261374563534 education=Bachelors
0.45593250239354605 -0.10077172584925906 education=Some-college
0.9482329442009167 0.7504604156585692 education=11th
0.23726426372392212 0.06571220315343627 education=HS-grad
-0.8696262393624844 -0.2735169391539339 education=Prof-school
-0.014872156813048355 0.22713737244720217 education=Assoc-acdm
0.2818971258147241 -0.003209546268789253 education=Assoc-voc
0.6849992043414552 0.07024629045560087 education=9th
0.5647346540871686 -0.5892941274229202 education=7th-8th
0.6718082893881181 0.4404320632252165 education=12th
-0.30129908383387344 0.07418225903185074 education=Masters
-0.26607283553318994 0.3982972108123758 education=1st-4th
0.9257848598792645 0.07735838514328021 education=10th
-0.9730417893823077 -0.6718828305769008 education=Doctorate
-0.6270192632109993 -0.7657113556886557 education=5th-6th
0.0030326117372672778 0.5773939709705671 education=Preschool
-2.4219695212687933 0.15624312554297234 education-num
-0.9978955829324133 -0.5173063335642716 marital-status=Married-civ-spouse
1.0311619201964304 0.8534938020261602 marital-status=Divorced
1.5598848264584324 0.19195219557760076 marital-status=Never-married
0.6990940129230836 0.14839661031805476 marital-status=Separated
0.8931660676333077 0.8000916949687693 marital-status=Widowed
1.3925872245988828 -0.2611738452923127 marital-status=Married-spouse-absent
0.7310378296458395 -0.6391905284422786 marital-status=Married-AF-spouse
-0.6407233212107891 -0.9158773655565784 occupation=Tech-support
-0.09384042192468073 -0.07393076666643222 occupation=Craft-repair
0.7013315608053159 -0.18202881523297937 occupation=Other-service
-0.1912730979643857 0.058891634429872726 occupation=Sales
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-0.15975443004893936 -0.1799644189174348 occupation=Prof-specialty
0.6932026057892069 -0.547820558088484 occupation=Handlers-cleaners
0.4764988675909559 -0.4064162031969634 occupation=Machine-op-inspct
0.2584832542237369 0.8704210843534957 occupation=Adm-clerical
1.3849644687423162 -0.6163214967250293 occupation=Farming-fishing
0.3266449408707455 -0.7337229799921904 occupation=Transport-moving
0.7001365699241809 0.5122719067031127 occupation=Priv-house-serv
-0.2847384544367684 0.1783631285569959 occupation=Protective-serv
-0.6574342960033985 0.2400976780432721 occupation=Armed-Forces
-0.42188262822633577 -0.9744137521308041 relationship=Wife
1.1341546868687673 1.1400856295227957 relationship=Own-child
0.4273406975573056 -0.2839632225931927 relationship=Husband
0.2266226476936625 0.5800605436702121 relationship=Not-in-family
0.9967650102263407 -0.925754653386966 relationship=Other-relative
0.7637725515737395 0.17510763647236122 relationship=Unmarried
-0.07773927549645374 -0.7749978765830972 race=White
-0.005278467626805133 0.3069354782071208 race=Asian-Pac-Islander
0.47427195205588935 -0.03571500325712312 race=Amer-Indian-Eskimo
0.5213960305111035 -0.6385914291500233 race=Other
0.04922422035000796 0.007080705169607153 race=Black
0.01649771390927073 -1.362907018710618 sex
-0.5566588451302202 0.5931403024655613 capital-gain
-1.2706830671430842 0.44033409883879454 capital-loss
-2.325216374408725 -0.7755884615715043 hours-per-week
-0.11264198210608872 -0.2592912724882634 native-country=United-States
-0.18597979509845167 -0.5098229925206962 native-country=Cambodia
0.9420514061145587 0.7411543723681189 native-country=England
1.023116529531187 0.486250195815382 native-country=Puerto-Rico
0.3495088582709659 0.13683644815728535 native-country=Canada
-0.4113430728195901 0.7377979576428851 native-country=Germany
1.1067803585124476 0.5290474120994395 native-country=Outlying-US(Guam-USVI-etc)
0.40304575780823926 -0.21039853473937503 native-country=India
0.8231357424994097 -0.6677681129877641 native-country=Japan
0.5347441749684599 -0.20038082684668165 native-country=Greece
-0.05406889314545648 -0.871592833786252 native-country=South
0.7807787905078735 0.5253077059252794 native-country=China
1.0708454971884385 -0.06351619557273629 native-country=Cuba
0.44017617929969644 -0.12237836176171579 native-country=Iran
-0.19394582926359685 0.30171617868330364 native-country=Honduras
0.026629839042364788 -0.7160062810609932 native-country=Philippines
-0.7519888016410636 0.6793421026101246 native-country=Italy
-0.2368631490295991 -0.6666185035911951 native-country=Poland
-0.9742406267055648 0.7045491432859439 native-country=Jamaica
1.019226958432385 -0.8234521097245816 native-country=Vietnam
0.7979817051830699 0.22878255028430636 native-country=Mexico
-0.26695022663504675 -0.5618171070994074 native-country=Portugal
0.9308618777231215 -0.2957601960088278 native-country=Ireland
0.0501448950125554 -0.07681262052541973 native-country=France
-0.1374209009310255 0.9171326878905663 native-country=Dominican-Republic
0.3071978635969014 -0.3970874280205843 native-country=Laos
0.5590086600089212 -0.9894373323572168 native-country=Ecuador
-0.052195201389654375 -0.23868304635782703 native-country=Taiwan
0.03575552549569863 0.004884419590576515 native-country=Haiti
-0.12230549182933532 0.4673593419955857 native-country=Columbia
0.2996085321205676 0.5031348332586599 native-country=Hungary
0.1378683673725264 -0.6165094337030262 native-country=Guatemala
0.7672389731254226 0.7447539218256382 native-country=Nicaragua
1.0760960073526353 0.8262651592156567 native-country=Scotland
0.5295072783688038 0.31545587170852907 native-country=Thailand
-0.7014510746074866 0.9599584388691224 native-country=Yugoslavia
0.8984996273709632 0.11237114264589539 native-country=El-Salvador
0.5026993469799006 0.19791165506262773 native-country=Trinadad&Tobago
-0.16231219182057588 -0.5937664490000748 native-country=Peru
0.08577182746647417 0.2962703070803408 native-country=Hong
-0.2730075779784207 -0.6389590481441435 native-country=Holand-Netherlands
Hidden Weights:
-3.7350774464700986 3.7748866202011415
-0.743874229764054 0.6291503984631055
>50K <=50K
Error sum for iteration 200 = 708.9816701280331
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.4815802509647626 -0.035830808479629876 age
0.5228580107715946 0.35869137909047694 workclass=Private
1.2041065341757435 0.40163197060152006 workclass=Self-emp-not-inc
-0.03751337755290705 -0.5507815791052818 workclass=Self-emp-inc
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0.9024190212499192 0.7221619012873124 workclass=Local-gov
0.6981189700101778 -0.7200319689688084 workclass=State-gov
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0.35262771573501495 -0.11628914736262068 workclass=Never-worked
-0.22765627454395612 -0.017472766165478014 fnlwgt
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0.4109892382937005 -0.1084100533092294 education=Some-college
0.8354286928981494 0.6784786258192029 education=11th
0.20298909518113498 0.29485435382458974 education=HS-grad
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0.8733675733680013 0.050645329363535 education=9th
0.552134552924749 -0.59430039929923 education=7th-8th
0.9707126921403115 0.43179660902705674 education=12th
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0.8829911700942024 0.07396765291174039 education=10th
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0.03465483715008496 0.5744353831950475 education=Preschool
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1.0996040489572063 0.8178124504272102 marital-status=Divorced
1.5404432864487858 0.11171095944403607 marital-status=Never-married
0.7931648695014576 0.21578503215431097 marital-status=Separated
0.8122409769160303 0.8036990989830886 marital-status=Widowed
1.6147911460547129 -0.2792385635563896 marital-status=Married-spouse-absent
0.8211682149654365 -0.6390376043135223 marital-status=Married-AF-spouse
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0.43260144464965616 -0.39696576162461944 occupation=Machine-op-inspct
0.30276763125888306 1.0068326609646459 occupation=Adm-clerical
1.475140667000461 -0.6117619554836005 occupation=Farming-fishing
0.3552890967944537 -0.7604008070163027 occupation=Transport-moving
0.7332765317243696 0.5099386779415515 occupation=Priv-house-serv
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1.1509079035285399 1.1202548929055984 relationship=Own-child
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0.30843580727575287 0.5628756931119452 relationship=Not-in-family
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0.7202191788011297 -0.040695796208197244 race=Amer-Indian-Eskimo
1.088749793769916 -0.6407527666158673 race=Other
-0.08982907916103422 -0.025702941062180414 race=Black
-0.09626771223998057 -1.4929811671128501 sex
-1.413085338355509 0.49318756629992516 capital-gain
-1.980281743229558 0.41326839539360805 capital-loss
-2.745912941535152 -0.7694063124180947 hours-per-week
-0.12244889494490327 -0.22879287463463152 native-country=United-States
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0.9467209105871389 0.7427779075441265 native-country=England
0.9535510929878269 0.46406749258918795 native-country=Puerto-Rico
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-0.23190496050576437 0.7604885982239791 native-country=Germany
1.1297265047705813 0.5257901546560605 native-country=Outlying-US(Guam-USVI-etc)
0.8161127211846081 -0.1973489430976707 native-country=India
0.9776432098917791 -0.6804542330500878 native-country=Japan
0.6613602152092343 -0.20353841847211016 native-country=Greece
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0.8325754272660764 0.5176891470467436 native-country=China
1.2166111491887386 -0.06037032024759066 native-country=Cuba
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0.2684648839194221 -0.6616956823901939 native-country=Poland
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1.0599521636928786 -0.8266534763084754 native-country=Vietnam
1.1071257687957612 0.22726338085550912 native-country=Mexico
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0.8215149043128186 -0.3018509990890877 native-country=Ireland
0.04433625284478993 -0.08114549927940186 native-country=France
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0.42767495949790074 -0.3907624503671928 native-country=Laos
0.5872706332640321 -0.9931118696892043 native-country=Ecuador
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0.21954640148505658 0.01703907514671445 native-country=Haiti
0.21103438402050453 0.4868874851386574 native-country=Columbia
0.31964818060505573 0.4992365899270171 native-country=Hungary
0.042436267591146264 -0.6207043148040895 native-country=Guatemala
0.8842499491762477 0.7438353420212311 native-country=Nicaragua
1.0977062053125342 0.8229793398191829 native-country=Scotland
0.6399725398249081 0.3133566143611183 native-country=Thailand
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0.8965239883878725 0.10394437039730327 native-country=El-Salvador
0.5594469738628345 0.19771968696997724 native-country=Trinadad&Tobago
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0.10625640975223757 0.29261094354693956 native-country=Hong
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Hidden Weights:
-4.040478955484673 4.0473753287427705
-0.6021929814636868 0.584243693775443
>50K <=50K
Error sum for iteration 300 = 711.1974882373473
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.4739258037463125 -0.10442585950298748 age
0.5224578078984354 0.5871140970316284 workclass=Private
1.226971436293265 0.24456846899385676 workclass=Self-emp-not-inc
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0.9183042189696523 0.6604390893092887 workclass=Local-gov
0.6989568428066687 -0.7311846841488907 workclass=State-gov
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0.08416162564406243 0.403679415536508 education=1st-4th
0.8369253297088959 0.07698916171563308 education=10th
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0.05482280109968686 0.5777350858831193 education=Preschool
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0.8083601720879725 0.8191320856676253 marital-status=Widowed
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0.879039523343715 -0.6329961836663941 marital-status=Married-AF-spouse
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0.28434645062756436 1.126439652751628 occupation=Adm-clerical
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1.166007233513021 1.1107548708220065 relationship=Own-child
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1.4914578130869165 -0.6438524229924752 race=Other
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-1.985217656595098 0.42519423496733466 capital-gain
-2.1353488935987563 0.43402692412677574 capital-loss
-2.788167993758811 -0.7062921748901545 hours-per-week
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1.2176659554967004 0.22551977516440253 native-country=Mexico
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0.5375757628997871 0.510361404066829 native-country=Columbia
0.3274856993213135 0.501507909179206 native-country=Hungary
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1.1071935829547082 0.825878863593306 native-country=Scotland
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0.8728756915414893 0.10137075699939602 native-country=El-Salvador
0.5981954069823101 0.20370586467933124 native-country=Trinadad&Tobago
0.07930725523470787 -0.58681514994164 native-country=Peru
0.11469931001065463 0.29518634743402206 native-country=Hong
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Hidden Weights:
-4.092385754932339 4.093478487743451
-0.6414924266091161 0.6391731118561508
>50K <=50K
Error sum for iteration 400 = 716.5688287969581
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.46270849035504 -0.22668341277802195 age
0.501364311737262 0.8451675364739708 workclass=Private
1.2415436945710245 0.07460338030737661 workclass=Self-emp-not-inc
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1.308987306688156 0.4225362353103345 education=12th
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0.21036986731464205 0.4095696128471378 education=1st-4th
0.8117460544573184 0.08261705791006053 education=10th
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0.07158042724396335 0.5829569577018341 education=Preschool
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0.9259257507386464 -0.623718015203751 marital-status=Married-AF-spouse
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0.23402847256524217 1.2090718599282873 occupation=Adm-clerical
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0.8433064062858356 0.09868199350798874 native-country=El-Salvador
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Hidden Weights:
-4.089920756257104 4.090012758013462
-0.7684314668449937 0.7682813235528271
>50K <=50K
Error sum for iteration 500 = 720.8013539528912
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.4425573598413306 -0.42065201344995634 age
0.4751450262221971 1.069991418328455 workclass=Private
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1.9693624591749677 -0.6608199059233659 race=Other
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0.12589745033889094 -1.8898428351480163 sex
-2.9044847947527646 0.2661721825189938 capital-gain
-2.2218904058311533 0.4980448274752336 capital-loss
-2.814320479776294 -0.4841795532564057 hours-per-week
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0.8254047825036918 0.756268396035941 native-country=England
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1.1529727391086297 0.5350695594168238 native-country=Outlying-US(Guam-USVI-etc)
1.5308096075850517 -0.17445174798210997 native-country=India
1.4242543218580506 -0.7112187164607708 native-country=Japan
1.0557849644583477 -0.18658255417617703 native-country=Greece
0.1094163897964158 -0.8308190912805965 native-country=South
0.9402506121171061 0.5565342961179433 native-country=China
1.338889794651085 -0.028398366459592664 native-country=Cuba
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0.9141675498735469 -0.6468970377962375 native-country=Poland
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1.100339674772983 -0.840042126622075 native-country=Vietnam
1.234991666404183 0.21808209577288448 native-country=Mexico
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0.39518386403187683 -0.3127263716823888 native-country=Ireland
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0.6884881016701037 -0.3461755539074198 native-country=Laos
0.6232384769743936 -0.985542116697166 native-country=Ecuador
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0.6254211346465335 0.0794086538940219 native-country=Haiti
1.1798281885729613 0.5648401112866618 native-country=Columbia
0.33476446112178826 0.5062141634139055 native-country=Hungary
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1.091778676386636 0.7568477343626181 native-country=Nicaragua
1.1174296437783273 0.8321546369476334 native-country=Scotland
0.901591946439307 0.33190314613116967 native-country=Thailand
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0.810654868974088 0.09143745871596395 native-country=El-Salvador
0.6561574691744754 0.21849422058235138 native-country=Trinadad&Tobago
0.26022564479748245 -0.5596853149638445 native-country=Peru
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Hidden Weights:
-4.087126296962371 4.087129475360845
-0.9366869034522761 0.9366825455326954
>50K <=50K
Error sum for iteration 600 = 722.190860189489
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.4190209458954466 -0.6586640393648948 age
0.45545719106550886 1.2231952230221297 workclass=Private
1.2621270185450049 -0.29411055796311303 workclass=Self-emp-not-inc
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0.09980282845874243 0.5863140211458302 education=Preschool
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1.0032521568636594 -0.6061466829620822 marital-status=Married-AF-spouse
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0.12472730834179228 0.2992188244636884 native-country=Hong
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Hidden Weights:
-4.093057050962232 4.093057100312931
-1.1184797711666772 1.1184797044964347
>50K <=50K
Error sum for iteration 700 = 721.4491600675447
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.3996477552941902 -0.916312653576486 age
0.44188784644218965 1.2997521645783217 workclass=Private
1.2787215556837208 -0.4516822484020627 workclass=Self-emp-not-inc
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1.035350290544415 -0.597939709991598 marital-status=Married-AF-spouse
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0.288285658544514 -2.1972451312324144 sex
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1.0464648403166223 0.34289152268110723 native-country=Thailand
0.06519475270288808 1.0320994023227816 native-country=Yugoslavia
0.7390608217088352 0.06903942807089844 native-country=El-Salvador
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Hidden Weights:
-4.09981105888394 4.099811059243127
-1.3161837745137897 1.3161837738210886
>50K <=50K
Error sum for iteration 800 = 720.1822144096755
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.380744334730375 -1.1873128118501701 age
0.4312411657018344 1.3161329748516024 workclass=Private
1.2984280148911864 -0.5788864494976121 workclass=Self-emp-not-inc
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1.722578342501905 -0.5633340400559675 marital-status=Never-married
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0.8761530767274984 0.7171098390860395 marital-status=Widowed
1.8989303073584427 -0.40687363154384404 marital-status=Married-spouse-absent
1.064190656538381 -0.5912201003478033 marital-status=Married-AF-spouse
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0.46390154073390294 -0.9411416157271902 occupation=Transport-moving
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2.3835933468157458 -0.7353118265096237 race=Other
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0.3319555929914124 -2.265143258011366 sex
-3.9303097174043278 -0.001698936134004762 capital-gain
-2.289730510853498 0.569444245818808 capital-loss
-2.9222840616423014 0.19742965913394486 hours-per-week
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0.7487058810448486 0.7550947232039334 native-country=England
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1.1648477878506085 0.528708515368582 native-country=Outlying-US(Guam-USVI-etc)
1.9190494552479211 -0.16831895381297715 native-country=India
1.7939307222874261 -0.7926531820906666 native-country=Japan
1.3710012985384588 -0.17554442243286913 native-country=Greece
0.22753107311425833 -0.6983524147212535 native-country=South
1.0067739883030153 0.6504029417327123 native-country=China
1.3618330852259575 0.041570651845635805 native-country=Cuba
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1.1229249985384295 -0.7089742188846264 native-country=Poland
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1.0858576938302233 -0.9722846756204752 native-country=Vietnam
1.2025069600805915 0.18270068505781692 native-country=Mexico
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0.8876890516322734 -0.30960838519725087 native-country=Laos
0.6456223857998294 -0.9942792762702006 native-country=Ecuador
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0.8904089880155716 0.14263388543675 native-country=Haiti
1.9800751913705887 0.6090776027864963 native-country=Columbia
0.33958780000653266 0.4982089693086698 native-country=Hungary
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1.232447738336067 0.7507742645438003 native-country=Nicaragua
1.126464003365554 0.8272432037731766 native-country=Scotland
1.117222104738941 0.34837882190751124 native-country=Thailand
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0.7012496703481862 0.05419249691347809 native-country=El-Salvador
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Hidden Weights:
-4.1087152062176235 4.1087152062176555
-1.5525093058201533 1.5525093058117476
>50K <=50K
Error sum for iteration 900 = 719.350543598411
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.3552451665824319 -1.4770468689193046 age
0.4223528700603486 1.2960458232477055 workclass=Private
1.3205425488438063 -0.6787529019129278 workclass=Self-emp-not-inc
0.007232316740916034 0.14748019958212175 workclass=Self-emp-inc
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0.9685665461759335 0.48843176433694063 workclass=Local-gov
0.7278472714002299 -0.7790826762570565 workclass=State-gov
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0.137530439666233 0.5782799766364624 education=Preschool
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1.0913379717782177 -0.5862328036167742 marital-status=Married-AF-spouse
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1.1993684880764783 0.15738310586341933 native-country=Mexico
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0.6527744430707003 -1.0012437311256366 native-country=Ecuador
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0.952489207335036 0.15623321390296888 native-country=Haiti
2.186485163801284 0.6126971410967109 native-country=Columbia
0.3413384001611161 0.49216154630067704 native-country=Hungary
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1.129584668305899 0.8222527431656963 native-country=Scotland
1.1874927988718662 0.35404141630292113 native-country=Thailand
0.2146202062740154 1.0443718014975 native-country=Yugoslavia
0.6627631273062212 0.036333671001618065 native-country=El-Salvador
0.7323044134102364 0.21998204321116685 native-country=Trinadad&Tobago
0.5155281397059107 -0.4352583620868477 native-country=Peru
0.1277527445578674 0.2846969322351535 native-country=Hong
-0.23127770993788238 -0.6499323351021135 native-country=Holand-Netherlands
Hidden Weights:
-4.127061817169758 4.127061817169686
-1.8356922536570333 1.8356922536568139
>50K <=50K
Error sum for iteration 1000 = 719.5263941650932
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.3186320848577973 -1.786775032095951 age
0.4163031419842603 1.2596049152676445 workclass=Private
1.343770387655133 -0.75515011736817 workclass=Self-emp-not-inc
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1.8249974684053942 0.3118045077691074 education=12th
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0.9060214830658144 0.4171501301156009 education=1st-4th
0.7223556742215579 0.14328692802564721 education=10th
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0.1499598404901419 0.5719173454526283 education=Preschool
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1.118246749427823 -0.5822518762304714 marital-status=Married-AF-spouse
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2.591727562729545 -0.81397693243401 race=Other
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0.3499267958844908 -2.2501050670923965 sex
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2.089598133394958 -0.1606380859722237 native-country=India
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1.1100422850778395 -1.1292161654157342 native-country=Vietnam
1.1962723585401367 0.12308038498624997 native-country=Mexico
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1.0056694919357934 0.1678487910804726 native-country=Haiti
2.371444493547078 0.6131030087089694 native-country=Columbia
0.3436778185500295 0.4847786383926738 native-country=Hungary
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1.1332798306513343 0.8158997728688427 native-country=Scotland
1.2557792732044082 0.3593995701298086 native-country=Thailand
0.2776096227864791 1.045502589623055 native-country=Yugoslavia
0.6247746199526886 0.01640662177948081 native-country=El-Salvador
0.7467089427720647 0.21599409259885458 native-country=Trinadad&Tobago
0.5660481320200383 -0.3874073700317778 native-country=Peru
0.12928709597146537 0.27634188807276083 native-country=Hong
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Hidden Weights:
-4.1548456480268365 4.154845648026836
-2.1393877704868247 2.1393877704868074
>50K <=50K
Error sum for iteration 1100 = 720.6622975328951
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.2723339644334197 -2.1036440482878604 age
0.4134149439742322 1.219701337712932 workclass=Private
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0.16245347284829936 0.5644920110246897 education=Preschool
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1.1452725738052862 -0.578513957895252 marital-status=Married-AF-spouse
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2.683003520248871 -0.8580842957810713 race=Other
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0.34399249249702274 -2.214640684910081 sex
-4.4316117110019935 -0.2217168677571064 capital-gain
-2.327269271647457 0.48169620818788644 capital-loss
-3.130474832504202 1.2555162764487626 hours-per-week
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1.602053379195487 -0.17041112276836418 native-country=Greece
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Hidden Weights:
-4.184638575645897 4.184638575645897
-2.4338472575154944 2.433847257515492
>50K <=50K
Error sum for iteration 1200 = 722.0449290373764
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.2223638697508254 -2.4105110979554514 age
0.4128743990974632 1.1816335712130082 workclass=Private
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0.38258059105078823 -0.14688399194871507 workclass=Never-worked
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0.1340864504839861 0.2587623368835711 native-country=Hong
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Hidden Weights:
-4.210695330759025 4.210695330759025
-2.709344961048095 2.709344961048095
>50K <=50K
Error sum for iteration 1300 = 723.1335384682676
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
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-1.074080226248005 0.33080736406873584 native-country=Dominican-Republic
1.048747051007244 -0.29279137704620006 native-country=Laos
0.6857510717806707 -1.0375225235220649 native-country=Ecuador
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1.1589191363742877 0.22039522683005852 native-country=Haiti
2.8260563342303895 0.6125212835114916 native-country=Columbia
0.35266752659006384 0.46101846464412727 native-country=Hungary
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1.4080906475567394 0.7164789052514966 native-country=Nicaragua
1.146417985391365 0.7951446166457345 native-country=Scotland
1.4269283753475204 0.3545715217562234 native-country=Thailand
0.43013452682803277 1.0371418418101532 native-country=Yugoslavia
0.5184673881207063 -0.03782506857727437 native-country=El-Salvador
0.7826743347655823 0.20106123394735004 native-country=Trinadad&Tobago
0.6966659532555023 -0.23007665547846645 native-country=Peru
0.1368937689518392 0.25080829664017407 native-country=Hong
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Hidden Weights:
-4.231584207598899 4.231584207598899
-2.9645148596709583 2.9645148596709583
>50K <=50K
Error sum for iteration 1400 = 723.7613199130533
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.1323277102147415 -2.9545570530319263 age
0.416672542023289 1.108531072614831 workclass=Private
1.4084186250301867 -0.9449976191457302 workclass=Self-emp-not-inc
0.028933588901256854 0.249645148914746 workclass=Self-emp-inc
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0.9667967298927983 0.6202242947840929 workclass=Local-gov
0.7664876826494528 -0.7960472737790999 workclass=State-gov
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0.5487944640609125 -0.9102897593823996 education=9th
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1.3619943151029668 0.4934242418147659 education=1st-4th
0.6424660737801163 0.2746717006686065 education=10th
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0.19775569467423018 0.5420193323637434 education=Preschool
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-1.7602287064148452 0.20010293217063535 marital-status=Married-civ-spouse
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2.1530449023169242 -0.6245156155143641 marital-status=Married-spouse-absent
1.2216429071994905 -0.5659613176320091 marital-status=Married-AF-spouse
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0.3245894654467519 0.09138530981678267 occupation=Adm-clerical
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2.907525859544362 -0.9980907621505892 race=Other
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0.34732717454350337 -2.163855225453467 sex
-4.701195684012491 -0.3915150916755146 capital-gain
-2.3166125872042853 0.27990362206648095 capital-loss
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1.2953298282327443 -1.4508059949452357 native-country=Vietnam
1.1375899331418147 -0.05477960082934463 native-country=Mexico
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1.0599724078616821 -0.29450282782742615 native-country=Laos
0.6938783570562406 -1.045455476619524 native-country=Ecuador
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1.2158740878550927 0.246433952674337 native-country=Haiti
2.949756758015478 0.6149742827318885 native-country=Columbia
0.3556093806323483 0.45412626509822424 native-country=Hungary
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1.4360184365667716 0.711463152779399 native-country=Nicaragua
1.1507882819749256 0.7892192316539213 native-country=Scotland
1.4703480683401529 0.3400274250132737 native-country=Thailand
0.47017720259281864 1.0325451017445348 native-country=Yugoslavia
0.4840676601716154 -0.049303346165088816 native-country=El-Salvador
0.7937797054356347 0.1971682900227615 native-country=Trinadad&Tobago
0.7316498260694387 -0.18060772425294583 native-country=Peru
0.1397209629271988 0.24377193733739386 native-country=Hong
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Hidden Weights:
-4.247485933125074 4.247485933125075
-3.1994899714114573 3.1994899714114577
>50K <=50K
Error sum for iteration 1500 = 723.9413693821144
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.096660524425683 -3.1873578349530827 age
0.4204741156099434 1.0736553957806798 workclass=Private
1.4198217171719103 -0.9910397347466562 workclass=Self-emp-not-inc
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0.39136382582104423 -0.16752240248707884 workclass=Never-worked
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2.0689119984973 0.11349781201020029 education=12th
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1.4546238068234227 0.5196738317380307 education=1st-4th
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0.2083147431741506 0.5358215938598023 education=Preschool
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1.2440327428773212 -0.5613421155304674 marital-status=Married-AF-spouse
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2.969055541192925 -1.045525346124 race=Other
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3.062958071927719 0.619216440010223 native-country=Columbia
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0.5056959084439342 1.027794243126835 native-country=Yugoslavia
0.449763439953139 -0.05677240006170543 native-country=El-Salvador
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0.14247675159515139 0.237625198847669 native-country=Hong
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Hidden Weights:
-4.2588522402616915 4.25885224026169
-3.415718742630731 3.415718742630729
>50K <=50K
Error sum for iteration 1600 = 723.6656785382614
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.0675413727650156 -3.3957097386643387 age
0.4251354213705538 1.041159833532207 workclass=Private
1.4303810367675027 -1.0293359225133327 workclass=Self-emp-not-inc
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0.35202670750523274 -2.146619629887499 sex
-4.816812037760975 -0.4806264089386872 capital-gain
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-3.5238451635931933 2.7846962519439957 hours-per-week
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1.8388436858202204 -0.15515727259548392 native-country=Greece
0.3800738843068143 -0.09326171156277506 native-country=South
0.8403874513337724 0.5898661265625433 native-country=China
1.0790220334058538 0.21324722577929575 native-country=Cuba
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1.4064686515945932 -1.5756130503510481 native-country=Vietnam
1.1038114127020897 -0.13060304846213452 native-country=Mexico
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1.0737288089798198 -0.2989098461785796 native-country=Laos
0.7090530363007838 -1.0582680226775707 native-country=Ecuador
0.014087206518866533 -0.32373065506095056 native-country=Taiwan
1.3320557640605104 0.3014780706876657 native-country=Haiti
3.16736058392009 0.6251065150458539 native-country=Columbia
0.3609770052221649 0.44264346160744117 native-country=Hungary
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1.4850379737977806 0.7036109965482217 native-country=Nicaragua
1.1590371745143735 0.7795827846712963 native-country=Scotland
1.5396304291089669 0.28401471736720213 native-country=Thailand
0.5373990756926434 1.0231481815199637 native-country=Yugoslavia
0.41590411836446456 -0.06048370076880372 native-country=El-Salvador
0.8174851723520198 0.19441120586306054 native-country=Trinadad&Tobago
0.7855889710110568 -0.09105300461004441 native-country=Peru
0.14511278210405515 0.23231864900297877 native-country=Hong
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Hidden Weights:
-4.266420750473326 4.266420750473326
-3.6139346015579807 3.61393460155798
>50K <=50K
Error sum for iteration 1700 = 722.9653383714547
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.0445758257087456 -3.580810383036424 age
0.4303703378901456 1.011536013567849 workclass=Private
1.4396112644160228 -1.0520167067211912 workclass=Self-emp-not-inc
0.045916392175651737 0.19477823961915738 workclass=Self-emp-inc
0.15214510749403615 -1.4407018988958578 workclass=Federal-gov
0.9460965628319786 0.77731761012414 workclass=Local-gov
0.7967427221567428 -0.8210838253123025 workclass=State-gov
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0.3963642573859903 -0.17752748048803918 workclass=Never-worked
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0.22765930120708472 0.5260047611249346 education=Preschool
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1.2832166948750667 -0.5522181309844473 marital-status=Married-AF-spouse
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0.30738546220244806 0.1404649754611329 occupation=Adm-clerical
1.6347513652228771 -0.3656077289028984 occupation=Farming-fishing
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0.10728790468397364 0.27862664634362316 relationship=Not-in-family
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3.0782599905324015 -1.1392094596708562 race=Other
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3.264092657060247 0.6323239399700249 native-country=Columbia
0.3633847222560311 0.43799825680156873 native-country=Hungary
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1.5679822767777922 0.24167062985121335 native-country=Thailand
0.5659383905342501 1.01874981779841 native-country=Yugoslavia
0.3829722677276723 -0.06090060792530651 native-country=El-Salvador
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Hidden Weights:
-4.270937962156537 4.2709379621565375
-3.7936731604988188 3.7936731604988183
>50K <=50K
Error sum for iteration 1800 = 721.9326038183947
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.0272050427176687 -3.743538383937159 age
0.4358513150773582 0.9852525354176753 workclass=Private
1.4472180443625666 -1.056952678917325 workclass=Self-emp-not-inc
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1.6851209845417014 0.6010432849289881 education=1st-4th
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3.353894216004841 0.6404322970376908 native-country=Columbia
0.3656145096139177 0.43396121839011403 native-country=Hungary
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1.594113961717163 0.1903847703710889 native-country=Thailand
0.591871608877995 1.014622629723591 native-country=Yugoslavia
0.35148236477592204 -0.05857506822053494 native-country=El-Salvador
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0.1499487720402442 0.22387946846975582 native-country=Hong
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Hidden Weights:
-4.2729304571305775 4.272930457130576
-3.9548704668680386 3.9548704668680386
>50K <=50K
Error sum for iteration 1900 = 720.6670335622174
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.0146483002262199 -3.8851362659061284 age
0.441266273654261 0.9624033672202169 workclass=Private
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1.0749927871635316 0.4642850926052792 marital-status=Widowed
2.2473760512288297 -0.7311420638627939 marital-status=Married-spouse-absent
1.315529239386913 -0.543828746045752 marital-status=Married-AF-spouse
-0.5652235502178741 -0.22129272386006685 occupation=Tech-support
-0.16453733202337884 0.5694036246241855 occupation=Craft-repair
1.1062883299880888 -1.814257329336421 occupation=Other-service
-0.3393727277641481 0.6604200290894013 occupation=Sales
-0.766657036357642 -0.20275583697466376 occupation=Exec-managerial
-0.044635423153116346 -0.7321577950605598 occupation=Prof-specialty
0.6359594675661014 -0.16656110973748628 occupation=Handlers-cleaners
0.43038747082200324 -0.4593251403846542 occupation=Machine-op-inspct
0.29531162097803954 0.1861335032546485 occupation=Adm-clerical
1.6879963771019502 -0.4629591413060453 occupation=Farming-fishing
0.36792013070185986 0.12684662793869025 occupation=Transport-moving
0.9532514750014636 0.25479259566491963 occupation=Priv-house-serv
-0.3157702155000861 -0.9595330100615874 occupation=Protective-serv
-0.15654483856937756 0.2046753132784476 occupation=Armed-Forces
-0.6698264416754703 1.374255365821446 relationship=Wife
1.3904175133830106 -0.20745879960526437 relationship=Own-child
1.3318654927890818 -0.2871757357095067 relationship=Husband
0.12382039810160136 0.18447809733333087 relationship=Not-in-family
1.434184892187871 -2.3237819368884125 relationship=Other-relative
0.4692900362641621 -0.047312467160727435 relationship=Unmarried
-0.3232106778191796 -0.9494696178623016 race=White
-1.6756158259742262 1.5120222354963087 race=Asian-Pac-Islander
0.9294886871894051 -1.034960955457544 race=Amer-Indian-Eskimo
3.173401727491027 -1.2296924636787245 race=Other
-0.25728044897620633 -0.3785822920347335 race=Black
0.33714988852553446 -2.1058294362225145 sex
-4.947704910777724 -0.5947125736571077 capital-gain
-2.2533018520346744 -0.05688099669003289 capital-loss
-3.699078071814876 3.2946328962148406 hours-per-week
-0.3150793717224677 -0.18455005009141273 native-country=United-States
-2.6983221185643558 -0.3176225578533009 native-country=Cambodia
0.6040008174831025 0.8449554480928546 native-country=England
-0.25722609421418774 0.012189412129071183 native-country=Puerto-Rico
-0.7821578037045587 -0.367119835466983 native-country=Canada
-0.7636346248376301 1.6378483045910461 native-country=Germany
1.1991285056081535 0.4602408609425469 native-country=Outlying-US(Guam-USVI-etc)
2.472299549941597 -0.25313459162352947 native-country=India
2.780859318741297 -1.1473489174676785 native-country=Japan
1.9159071199722888 -0.1428531530580186 native-country=Greece
0.3693606840536223 0.1228155548863603 native-country=South
0.8164698843167009 0.5754907740136218 native-country=China
0.9601922744681903 0.3060631143407256 native-country=Cuba
-2.286535003838894 -0.26464464383874986 native-country=Iran
0.5412235267357589 -0.3959200016598513 native-country=Honduras
-0.4775216606910297 -0.015080951159880144 native-country=Philippines
-1.8336074500729918 0.7468482448779356 native-country=Italy
1.4022127707800365 -1.4157616034711369 native-country=Poland
-2.152125038235483 0.22339397178637976 native-country=Jamaica
1.5646209232556119 -1.7241163816185539 native-country=Vietnam
1.0692824424146912 -0.2174433151234387 native-country=Mexico
-0.46528433717882745 -1.1238542656289707 native-country=Portugal
-1.106279653604354 -0.5773055867092151 native-country=Ireland
-0.2838737726130742 -0.15287005272130186 native-country=France
-0.8924104768679492 -0.47004880435765384 native-country=Dominican-Republic
1.083678015143432 -0.30473558129587064 native-country=Laos
0.729195651562756 -1.0710040193441797 native-country=Ecuador
0.0727544394313807 -0.5166465080825848 native-country=Taiwan
1.4899209444468633 0.3752590460072004 native-country=Haiti
3.437334633366719 0.6490031964748013 native-country=Columbia
0.3676784553602586 0.4304121434183342 native-country=Hungary
-1.2721675019167555 -0.6812624510356108 native-country=Guatemala
1.545662066464963 0.695932042908867 native-country=Nicaragua
1.1700338354716557 0.7698893392079906 native-country=Scotland
1.6193564778055187 0.1312987494728773 native-country=Thailand
0.6156620971792328 1.0107333726963528 native-country=Yugoslavia
0.32189569773856647 -0.05403308509738139 native-country=El-Salvador
0.8577337169445508 0.20314803644068097 native-country=Trinadad&Tobago
0.8295512145684244 0.02584221411202793 native-country=Peru
0.15213950264947196 0.22048562583682724 native-country=Hong
-0.20493765473867867 -0.7116817379842919 native-country=Holand-Netherlands
Hidden Weights:
-4.272843240428212 4.272843240428212
-4.098531967130572 4.098531967130573
>50K <=50K
Options: -I 2000
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 2000
-E 0.01
-S 1631329665
-H 2
-M 0.01
Input Weights:
-1.006032397154512 -4.006324988636875 age
0.4463272476288588 0.9429212296712701 workclass=Private
1.4580174874510612 -1.0227284299016486 workclass=Self-emp-not-inc
0.05896743504316777 0.15434351918022166 workclass=Self-emp-inc
0.1732260447195447 -1.558584772171375 workclass=Federal-gov
0.9370068931109219 0.8747887402644648 workclass=Local-gov
0.8184649499568075 -0.8721311529599305 workclass=State-gov
-0.70481307415786 0.1041623668152772 workclass=Without-pay
0.4025521416276943 -0.18825183027788558 workclass=Never-worked
-0.28663222706884023 0.6097238681601852 fnlwgt
-0.02829819998419749 -0.3816559797592949 education=Bachelors
0.25886279412045404 -0.04641559183331104 education=Some-college
0.724273633712138 -0.25866971821116336 education=11th
-0.12685010988219628 0.7056923428302606 education=HS-grad
-1.1225447066508663 1.0202039312555475 education=Prof-school
0.05279928567072054 -0.7348036200010065 education=Assoc-acdm
0.3253758528435352 -1.219779483539492 education=Assoc-voc
0.4519350586130797 -1.2644619026476607 education=9th
0.19457487064771908 -0.5082817376964839 education=7th-8th
2.2295446439930666 -0.08590685463421571 education=12th
-0.16342826355101034 0.22936517224468403 education=Masters
1.8037439658111656 0.651910099820911 education=1st-4th
0.5087946708431604 0.562908543152923 education=10th
-1.0505631228832697 0.10450685085309977 education=Doctorate
-1.0333312641233126 -1.119593867521352 education=5th-6th
0.253050060284802 0.5162106179540319 education=Preschool
-2.963412232888833 0.8614375823211053 education-num
-1.823699201330035 -0.07624788525468058 marital-status=Married-civ-spouse
1.1729978148582327 0.5183593104426925 marital-status=Divorced
1.8095284029305574 -1.1371232183612847 marital-status=Never-married
0.5296761549938646 0.9638952701348522 marital-status=Separated
1.078761163607729 0.4548857830589318 marital-status=Widowed
2.2617015075844904 -0.7454107484570879 marital-status=Married-spouse-absent
1.32953157153754 -0.5400088096746539 marital-status=Married-AF-spouse
-0.5740188309123321 -0.18921668434210523 occupation=Tech-support
-0.16005037685477713 0.5335917467858385 occupation=Craft-repair
1.117755326740325 -1.8448514353696437 occupation=Other-service
-0.3364472155825828 0.6439098395817363 occupation=Sales
-0.7703341731229001 -0.19190869860798526 occupation=Exec-managerial
-0.0467547102546054 -0.7299666157576197 occupation=Prof-specialty
0.6289689589194323 -0.13585053391932517 occupation=Handlers-cleaners
0.4293371933201724 -0.44650207803551806 occupation=Machine-op-inspct
0.289850447706002 0.2084648771310355 occupation=Adm-clerical
1.7125165082441136 -0.510641028208801 occupation=Farming-fishing
0.35327581871748004 0.19795812127599244 occupation=Transport-moving
0.9696350463947677 0.23589472579122064 occupation=Priv-house-serv
-0.3094413120691457 -1.0593041542850061 occupation=Protective-serv
-0.13824760764760027 0.20281032414393793 occupation=Armed-Forces
-0.6879640825449426 1.4382435077417648 relationship=Wife
1.396905614339941 -0.23762703663731663 relationship=Own-child
1.331347349708346 -0.2228044698578797 relationship=Husband
0.13230620273314395 0.14452839679665216 relationship=Not-in-family
1.4547291565187195 -2.3926831029144084 relationship=Other-relative
0.47894576621973545 -0.08058808103027 relationship=Unmarried
-0.32124497938459734 -0.9473713399147667 race=White
-1.7208444676541974 1.5838397247500111 race=Asian-Pac-Islander
0.9488878197582398 -1.101603016945434 race=Amer-Indian-Eskimo
3.2163869375601406 -1.2729282329436642 race=Other
-0.25177788358140546 -0.383417301768913 race=Black
0.3277530138575604 -2.0873994296886513 sex
-4.9853532245219565 -0.6283653496321554 capital-gain
-2.242202772746243 -0.11380864732073108 capital-loss
-3.7419631219570744 3.4114508079033867 hours-per-week
-0.331940627699492 -0.15377051939621744 native-country=United-States
-2.725880474978356 -0.27193955666986186 native-country=Cambodia
0.5893729002048311 0.8571359089362872 native-country=England
-0.28570115260167966 -0.005299727048585923 native-country=Puerto-Rico
-0.8015339811396206 -0.3603728828271124 native-country=Canada
-0.7945427170249222 1.701094343211586 native-country=Germany
1.2014121948756964 0.4575170837163048 native-country=Outlying-US(Guam-USVI-etc)
2.502981625767811 -0.2756377663617528 native-country=India
2.84147984922444 -1.1677519452695806 native-country=Japan
1.9347714235086468 -0.13856067909675523 native-country=Greece
0.3512873144072379 0.1902034167264194 native-country=South
0.8133565587812804 0.5687367238233075 native-country=China
0.9241475547082001 0.337061785344954 native-country=Cuba
-2.313004261512102 -0.2765051121258073 native-country=Iran
0.587252819022867 -0.46872319800670376 native-country=Honduras
-0.5148347761594555 0.08577111971445538 native-country=Philippines
-1.8544067418516494 0.7461812195987976 native-country=Italy
1.4051837012198598 -1.466620311087117 native-country=Poland
-2.144951178023384 0.21273130701580784 native-country=Jamaica
1.61168741712044 -1.7652432431341254 native-country=Vietnam
1.0611257464403745 -0.24093198683191905 native-country=Mexico
-0.46214472918942906 -1.1449657660307822 native-country=Portugal
-1.1374854680704973 -0.5936768954765758 native-country=Ireland
-0.29984217247968187 -0.15681390406257165 native-country=France
-0.8667247896150178 -0.577573478220845 native-country=Dominican-Republic
1.0855159096395397 -0.3063933573712552 native-country=Laos
0.7352674188732914 -1.074062848487779 native-country=Ecuador
0.09948508992683013 -0.5899009432048722 native-country=Taiwan
1.5358255365283668 0.39627895548813374 native-country=Haiti
3.51419281642581 0.6576030982528072 native-country=Columbia
0.3695726064977351 0.4272739070117437 native-country=Hungary
-1.3139579167398037 -0.6842392603742178 native-country=Guatemala
1.563292042943431 0.694089745142928 native-country=Nicaragua
1.1733219184667345 0.7675318477142246 native-country=Scotland
1.6444629131096073 0.06638432567911079 native-country=Thailand
0.6374749411921621 1.0070692527391156 native-country=Yugoslavia
0.2948172174684806 -0.04780392237095453 native-country=El-Salvador
0.871732826913825 0.2082999681769287 native-country=Trinadad&Tobago
0.8366224682731326 0.06218194298400351 native-country=Peru
0.15415708798681915 0.217499100193272 native-country=Hong
-0.2030435036012144 -0.7148199743908606 native-country=Holand-Netherlands
Hidden Weights:
-4.271164224224305 4.271164224224307
-4.225188095103561 4.225188095103561
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4268 85.1047 %
Incorrectly Classified Instances 747 14.8953 %
Mean absolute error 0.2639
Root mean squared error 0.3306
Relative absolute error 71.4806 %
Root relative squared error 76.9447 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
752 473 | a = >50K
274 3516 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 4187 83.4895 %
Incorrectly Classified Instances 828 16.5105 %
Mean absolute error 0.2703
Root mean squared error 0.3414
Relative absolute error 74.1636 %
Root relative squared error 80.4999 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
696 482 | a = >50K
346 3491 | b = <=50K
|
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