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Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 10
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1784404359
-H 10
-M 0.0445
Input Weights:
0.7119545393473143 0.8148956544740418 0.25594117691052976 0.6965862340709867 0.9558500741677769 -8.425741183142321E-4 0.6180257894467625 0.3806013478726469 -0.4991472823733092 -0.18589099553364075 age
0.7760207273199153 0.5120511628533924 -0.5709759657062581 0.2878774516835232 0.7554618632046841 -0.19009202620068022 0.018320592544003977 -0.9075862706862514 -0.6619101693350391 0.729110160547114 workclass=Private
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0.9169472700350756 0.9826953812977512 0.8055463531177374 -0.39133010204437 0.22087685173870564 -0.6562546738340191 -0.8802293990719725 -0.2123058956373982 0.30149488946205505 -0.04724319556331125 workclass=Self-emp-inc
0.4767588273754213 -0.19934132044133124 -0.9062252293206796 -0.8482715898005808 -0.14473672169470708 -0.5723640283755889 -0.7731652177423778 0.7832638831047689 -0.9821160142440577 -0.5859941071358221 workclass=Federal-gov
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0.9542057351057414 -0.8927937657291287 -0.4575216586744564 0.9411893561496072 -0.1040678698731925 0.7415735720353076 -0.8534057088590017 -0.20588335510604217 0.6750541238821102 -0.572681194840289 workclass=State-gov
0.5912398969312782 -0.7975417144751293 0.9299603059154262 -0.8241516180742097 -0.8477429444438438 0.9534023004015029 0.43521997355930697 -0.91435967782893 0.7264903616747016 0.7542036474180347 workclass=Without-pay
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0.26882384300576745 0.937171725693112 -0.9788580857403242 -0.0978184937730584 -0.7749213671936317 -0.2675853205100136 0.4350006941411233 0.5221331510676979 -0.6180238341768551 -0.8133542650849137 fnlwgt
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-0.6979787364184167 0.36041236731101955 -0.7222192005832664 -0.00935110595987565 0.24138704118764753 -0.889906190749524 0.9138723379544618 -0.7050161763379277 -0.7340621228875865 -0.9463649537058034 native-country=Italy
-0.3900660278419932 -0.12764047442977877 -0.19204034297222017 -0.38838730245570274 0.5502921038920776 -0.4101721118865911 -0.0218692621759089 -0.8007630487020114 0.3975290449043385 -0.17212110403893477 native-country=Poland
0.8354654577374665 0.7908009628429058 0.2862239211827593 0.20432016738967684 -0.14041561260434543 0.23824836985575626 -0.5585368382520031 -0.2797926761114333 -0.2344273731792872 0.9689113384252295 native-country=Jamaica
-0.4171638670917368 -0.3236824251987809 -0.4071488468091726 -0.12231282379665043 -0.4312091464052199 0.13304136210393303 -0.20316529402296601 -0.6870600195268686 -0.34550919843149996 -0.26655451561364707 native-country=Vietnam
0.26631713692472214 0.24363478467280575 0.14622319848738696 -0.7196906024580971 0.3369912259275214 -0.7985211972303881 -0.6637707834198496 -0.42581360528268397 -0.40220266635308977 -0.01907969069075377 native-country=Mexico
0.1728489730013254 0.046750271430770374 -0.2086225254595282 0.7728496327792513 0.0969292164934894 0.9191520421474901 0.23996811363031023 -0.6917074025708088 -0.422914637961749 0.9787584547207107 native-country=Portugal
-0.7035887182598513 -0.19009690750066333 0.8693649041749936 -0.5106345415158522 0.5953954748441217 -0.5802307648612126 0.8835612892162752 0.8232198768298318 -0.7586539010411935 -0.7455350589970451 native-country=Ireland
0.3022971925196283 0.890964809303223 -0.9730098413035095 -0.3127040680590365 0.65365849676153 -0.31172109582051255 -0.9866025033944561 0.5732158612221416 -0.13735619044309533 0.21195789123881004 native-country=France
0.8279132045298307 -0.033416202409690676 -0.4085828829445346 0.2050137883560854 0.41696843553054985 0.48340820938189655 -0.37595550620859375 0.30145445830272055 0.7550954306400375 0.773796922990658 native-country=Dominican-Republic
0.08138743479583055 -0.8580902224411644 -0.760965979359701 -0.6295991587431295 0.22887844029610394 0.8829332380818871 -0.32725948244160175 -0.2344358374561033 0.7072714562833651 0.9936003491996346 native-country=Laos
-0.3143162036180047 0.9181790383908994 0.7844236469728321 -0.8161657523717527 -0.2839972743706025 -0.8037318962146549 0.3383650653034298 0.16350178525514658 0.9592486066779582 -0.3124927674371001 native-country=Ecuador
-0.10689150276791581 0.5989569802086985 0.48081224057089966 -0.33123502528365867 0.10503464779627403 0.41167197784849163 0.49778765541646197 -0.33288050705358563 -0.7483020979446555 -0.1798736851438527 native-country=Taiwan
-0.738952737263147 -0.5863110218613954 0.9486434717754479 -0.42677289111859373 0.006081426361820519 -0.6162418499634386 0.3236450237508772 0.9295392274935372 0.023634968696673475 0.5514715419438874 native-country=Haiti
0.9345422028421606 -0.45904597008483017 0.7543678157756089 -0.44910696467412414 0.48724278265928445 -0.42428074966701557 0.6149646455178015 -0.49802133149200656 -0.42853042771615635 0.2548572241913767 native-country=Columbia
-0.8256687674707079 -0.4708038425126888 0.09501673604668115 -0.39136416003018715 0.7047125644874424 0.48112070647909366 0.7225527597000143 -0.8840257345218909 0.020423643159620974 -0.32540702457679194 native-country=Hungary
0.6445390766451693 -0.06090540610608519 0.29874426565505696 0.09144119124044048 0.32390608065091975 -0.9042912138130068 -0.12105777334009038 -0.17805552327313445 -0.3300296114285206 -0.9629899452922748 native-country=Guatemala
-0.38311953295323775 0.1849588165376923 0.1300832124814275 0.28449575228229596 -0.1429879927373574 0.8246397197990989 0.5510366753418483 -0.36648891301677367 -0.9591121345807485 -0.4037817763466869 native-country=Nicaragua
0.4169893940054952 0.2188371228571555 0.028922051883578437 0.44366331176279816 -0.38635336627110006 -0.39671134187286294 -0.44970267122719565 0.3051610586083624 -0.7947397360115087 0.24927531806781178 native-country=Scotland
0.26637647836190115 -0.5388860725788676 -0.025626811414095174 -0.33311403577361287 0.4342159791213893 0.8003019410041359 -0.7247826534014066 -0.3692883857907263 0.9926779260864735 -0.943093986954062 native-country=Thailand
-0.6032144519985982 -0.16888644283096066 0.6703214332551652 -0.06574806129985022 -0.16708837528641163 -0.8309051205344204 -0.16722270124333027 0.8350854796208063 -0.7500082762677558 -0.9214152763215666 native-country=Yugoslavia
-0.41800654162440476 -0.8868337500769445 0.5482464589642639 0.8926063696372484 -0.6060921760761886 -0.10061258249459293 0.7913693376100106 0.5090332635998474 0.8201369595302344 -0.6839139442737889 native-country=El-Salvador
-0.46133440302712647 -0.15932089959868323 -0.4883914817705659 0.3737331759949576 -0.24902204277317375 0.6843035844911747 -0.8633853649489609 -0.0590245286869544 -0.5706388588260443 0.4750565336496151 native-country=Trinadad&Tobago
-0.39330319361345656 0.5615249444639498 0.5307382424944092 0.1695831151437983 -0.28212509500027116 0.09500451015913725 -0.8377094386431534 0.6477418561992583 0.9790384339224845 0.4402042976194067 native-country=Peru
0.002844447208971035 -0.510324987469734 0.03817931604662217 -0.1898064986295036 -0.33684574074035134 -0.8238655382262214 0.2576191118595559 0.22316464178558193 -0.5444514212510814 -0.10823027301933807 native-country=Hong
0.08011714111019974 -0.49866584498505784 0.6406986203807619 -0.3737413573511632 -0.5697694280522132 -0.4368776715962537 -0.12528923687220606 0.6356808158998271 -0.8789983399646926 -0.6789041983108406 native-country=Holand-Netherlands
Hidden Weights:
-0.6945865264887354 -0.7245894522551646
-0.7816684281544555 -0.3899931527049556
0.2827460304189955 0.4152765044135347
-0.9186257912175437 0.9276472787229118
-0.37863667603537743 -0.1296784323530913
-0.8379813810559453 -0.6072291740300269
0.6399178693157777 -0.05718646788333048
0.6847518040008156 0.14021861779574896
-0.615919002992938 -0.511002785150307
0.5805943255809038 0.3768283889739892
>50K <=50K
Error sum for iteration 100 = 1109.3259289133837
Error sum for iteration 200 = 1124.401236732761
Error sum for iteration 300 = 1154.197725339186
Error sum for iteration 400 = 1206.653323647408
Error sum for iteration 500 = 1262.8042155351425
Error sum for iteration 600 = 1310.465169086417
Error sum for iteration 700 = 1347.739886972197
Error sum for iteration 800 = 1378.0111828595927
Error sum for iteration 900 = 1404.0065085677097
Error sum for iteration 1000 = 1426.4963528305943
Error sum for iteration 1100 = 1445.8935351781486
Error sum for iteration 1200 = 1463.1064852516645
Error sum for iteration 1300 = 1479.3217589616763
Error sum for iteration 1400 = 1495.4046923273527
Error sum for iteration 1500 = 1511.2647717213915
Error sum for iteration 1600 = 1526.8051702067016
Error sum for iteration 1700 = 1542.035916579378
Error sum for iteration 1800 = 1555.6541078577684
Error sum for iteration 1900 = 1565.9898117098476
Error sum for iteration 2000 = 1572.4748524981567
Error sum for iteration 2100 = 1575.7690258958305
Error sum for iteration 2200 = 1576.2793982482208
Error sum for iteration 2300 = 1574.2187809258164
Error sum for iteration 2400 = 1569.8336113360956
Error sum for iteration 2500 = 1563.3928839584535
Error sum for iteration 2600 = 1555.1967498068045
Error sum for iteration 2700 = 1545.4428378921405
Error sum for iteration 2800 = 1534.404308455793
Error sum for iteration 2900 = 1522.4637334025583
Error sum for iteration 3000 = 1509.934689457874
Error sum for iteration 3100 = 1497.3173160941105
Error sum for iteration 3200 = 1484.8491479240238
Error sum for iteration 3300 = 1472.5984194075515
Error sum for iteration 3400 = 1460.6170160473698
Error sum for iteration 3500 = 1448.978065642839
Error sum for iteration 3600 = 1437.7288723178265
Error sum for iteration 3700 = 1426.8215535245038
Error sum for iteration 3800 = 1416.2986398885957
Error sum for iteration 3900 = 1406.1199032546915
Error sum for iteration 4000 = 1396.290397129038
Error sum for iteration 4100 = 1386.7262397695383
Error sum for iteration 4200 = 1377.3832369722618
Error sum for iteration 4300 = 1368.2388044658965
Error sum for iteration 4400 = 1359.2421564027657
Error sum for iteration 4500 = 1350.3980973013681
Error sum for iteration 4600 = 1341.7102280838944
Error sum for iteration 4700 = 1333.2151033610878
Error sum for iteration 4800 = 1324.9136795476193
Error sum for iteration 4900 = 1316.8192043505526
Error sum for iteration 5000 = 1308.9581676257399
Error sum for iteration 5100 = 1301.3058945503
Error sum for iteration 5200 = 1293.886561969429
Error sum for iteration 5300 = 1286.7212313702712
Error sum for iteration 5400 = 1279.763663982357
Error sum for iteration 5500 = 1273.0183744506264
Error sum for iteration 5600 = 1266.5030100967722
Error sum for iteration 5700 = 1260.2205232205017
Error sum for iteration 5800 = 1254.148697859946
Error sum for iteration 5900 = 1248.2814042122945
Error sum for iteration 6000 = 1242.6159245801996
Options: -I 6000 -H 10 -E 0.0112 -M 0.0445
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 10
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1784404359
-H 10
-M 0.0445
Input Weights:
-5.832160329512904 4.643985889750884 -2.1720053091759657 -0.42553973429971387 2.133206521872791 4.699320344975303 5.707589331175802 -1.7688576374998772 -3.14151846845721 3.1955281658290566 age
5.390425992570471 1.432985346218877 -0.18381490577771467 1.0138983351175959 0.3414498805049698 0.01908231575276228 -0.8817327687828725 0.30397123328153536 1.5414835104451368 -2.611642511497017 workclass=Private
-2.9337879969588108 2.5858166808144483 1.7408878969068864 -0.6384942558088731 -0.3230770468454023 -0.06696278589056179 -0.6229252401272486 0.46592225229025025 -1.3928918039600586 -3.47177373062077 workclass=Self-emp-not-inc
-1.698351715608649 0.24185550353359064 0.5652907966498982 -0.23718186127671217 -0.7032032853787495 -0.9063774090111936 -1.0002355192066155 1.9567569339346467 0.20043427702436695 1.0042664551320464 workclass=Self-emp-inc
-0.9611073754926459 0.6171929224333622 -1.1687744800635542 -1.7276397066118596 -2.706135965881094 -5.023571793318288 3.7651033741755575 -1.19025491886806 0.5437495057996469 2.8556725262345646 workclass=Federal-gov
1.7573101805281388 0.5985267390897516 -0.9459696612747354 1.3625031775340772 3.964122416527531 2.0029549333549155 -2.5680406132903535 0.46852727132750493 -2.420198598333058 1.3285696719963629 workclass=Local-gov
-0.5993360122084581 -4.782550808588203 0.24930693073881957 -0.13102797216552986 -0.498236095711701 3.670253620490876 -2.073819238030964 -4.348169399911636 0.13968928013734366 -2.0042940069374158 workclass=State-gov
0.5482484340441826 -0.8409514575427811 1.018958080528528 -0.7701660366433996 -0.8818421867023287 0.9408805491334293 0.510259910383671 -1.0544575587069347 0.6414451676076598 0.6052739711732393 workclass=Without-pay
-0.7641590533096225 -0.5680217330155067 -0.04493921309476285 0.9536538666392013 0.7390114719110253 0.8726455465173727 0.3188491960395695 -1.0381490070815371 0.059115906569740334 -0.44352099501286857 workclass=Never-worked
3.273864757920992 -2.130902469464963 -6.68329819130854 -1.6721545108897764 -1.9120469968198157 1.06408678445782 3.3588460334059174 0.9713905472066987 -3.4908743323187523 -1.2487822846237322 fnlwgt
-0.24004460437830388 1.1934756765872245 -3.7649682865446374 -0.1276059687736637 -0.1925020113461759 -4.0998284650253565 1.917897821564872 2.0691836533296613 3.91738781653568 -3.5932031378252596 education=Bachelors
-0.28380280400878566 -1.0592474478256488 1.6341946628784825 1.6557173375577625 -1.6280609404375548 2.297887295993972 -0.08856752528194234 -0.6729912702224067 -1.3506742288823161 -0.2375371797614592 education=Some-college
4.776951155897887 1.4027679780818105 0.7344015663965175 2.223117648986524 -2.2791425750898666 0.9501803065750973 2.4234280968879838 -1.2495127091003542 3.6182095093116775 -0.43044204093113997 education=11th
0.5301895429393082 2.1942002798239315 0.4511727115399481 -1.6178425319843492 4.155655477154903 0.604443497934045 0.17334178999884867 -3.5746497375039192 1.0663534314670415 1.1402937348900264 education=HS-grad
-2.087784212359783 2.672140906062401 5.579964438938501 -0.9534788258147152 -3.116627680297065 -4.737002603647098 -0.2555547705455125 -0.6708816953067503 0.38293123221115327 0.7367722526877725 education=Prof-school
-1.7381776328331153 -1.8728260247862238 1.9373066049046037 -0.15754357201836677 -1.0408815686854542 0.4499811453622879 1.5848745403553361 1.140285630160536 1.507617302843856 2.122155700710108 education=Assoc-acdm
0.6615437236733487 -0.5945520637583532 -0.9491445714076053 -1.3974718670780897 -1.3411224703474456 -1.3054567754279345 0.7452892898081875 1.200182189578713 -0.7210749084141876 -2.4942364013652356 education=Assoc-voc
-2.699187721163946 -2.7699480402551724 -0.11659189540299664 0.6531513515788004 0.28307597007965807 3.359604085643941 0.16818846190514974 -0.9504205798581381 -0.003727845590947866 -0.8765204891956934 education=9th
-2.4229340994228803 4.6559816420315645 1.2772800095735724 1.0387691875481375 0.40766906415106785 -1.2040491700493925 0.5160751864621503 -0.8875597533470363 -2.0647625467156296 -0.9346161512062628 education=7th-8th
3.587222735417012 -2.614545308193929 0.07087626702130152 -1.2808467780639934 0.409552935671155 3.6871352570747242 -1.0288392838860372 -1.258442323543661 -1.8312846559531852 0.25921008368896864 education=12th
0.17297451870114122 0.8539728772653965 -1.322423236930248 2.362408628417595 1.0365652267571568 4.6451569742315595 -0.4042494125734915 -0.4743835828861133 -4.413745693272522 2.1054940292351345 education=Masters
0.09707545339814273 -2.4193552971683228 2.7512710914227925 0.9001495662208501 0.487437227056067 -1.0296414553075115 -0.06019445584813623 1.1610270170869337 0.13081318551425752 -1.293503414264362 education=1st-4th
-4.051925382080868 3.6417769757510126 0.1530736014410829 2.3349559150593255 1.148596289728844 -0.7140941809325015 -0.05275892708743062 -0.1317579142348619 -1.2656310122167118 -1.4491511731531206 education=10th
0.8240353345815392 -0.7505413107406097 -2.8810737915533355 -1.81820310660775 3.358442147446035 -2.5271746019672165 -1.7804347642893166 0.5885834680509489 1.1302774829067495 1.2616993703649122 education=Doctorate
0.2169194972016891 -2.041247591596301 0.5867073151904952 0.6891821453755701 -1.7840643678694748 1.8443581362890684 -3.2791004987860424 -0.788427369009946 0.31358994984411764 1.3731664608337442 education=5th-6th
0.4828388354612065 -0.8680388715210756 0.3229170508414577 -0.5688413917831538 -0.2762887025337399 -1.4933933173105207 0.6395850640748924 -0.46048524971122873 -1.779889148424642 -0.6557828644603767 education=Preschool
-0.4398325631169058 1.5141810385266388 -3.4819548953404156 -2.343445776850482 0.39632901219222755 -2.7327762501722783 0.27787311592821656 -0.5917043586270379 0.9971289580027736 0.9315463446384562 education-num
0.3181031715749352 1.8681519548975487 -1.502601870437478 1.197463567240699 -0.9819585742650254 1.160223524081093 -0.4472109024861114 0.7000435103425522 1.4055400630695938 2.3670365620753127 marital-status=Married-civ-spouse
-1.7502745309516414 1.1302394556081319 -1.1077579487634481 0.21514028559784737 0.8415200153208201 -0.29462468500479405 -3.431586459968393 0.3233806685328221 -3.786556010974845 -2.289132589444113 marital-status=Divorced
-2.8762465327815194 -2.805351131096925 1.2580572056791448 -0.4629729433544873 -0.6234142980932103 0.03987651719745215 1.8823883016012692 -3.7591247742029092 3.188804622806226 -0.2588143534804814 marital-status=Never-married
2.1806340505890813 0.29226552003296086 0.6235894662602492 1.1521565072935591 1.4797669691792925 2.1478205430390687 1.097472564410244 -0.4511437423158642 2.4957126157084106 0.6652293813423349 marital-status=Separated
1.0186855266897334 0.5198063572273827 -0.09630473309406924 -0.9560777011665327 -4.64535811044137 -2.440041125289676 1.2848302702362255 -0.057334899551325876 -2.60815794713472 -3.433402992070902 marital-status=Widowed
1.0066975509234621 0.3205066172946261 3.6457721712451527 -1.540884303251102 1.1781108772977928 0.8403403709067183 -0.936143391666923 2.0843501572586383 0.6886764179730895 1.074739570670465 marital-status=Married-spouse-absent
-0.39293954035477113 -0.4283463634064664 1.2713975553931154 1.448540144510078 0.14281249028247558 0.2821055294282011 1.2370103197366014 -0.8706851909710265 -1.1936359787520565 -0.7311625112693965 marital-status=Married-AF-spouse
0.13377832684256963 0.5732284633504409 1.0138623660719628 0.6409349220446855 -2.34379491104714 -1.366234701713849 0.18399890781312792 -1.81014023974249 1.1721613327304192 -1.3389221036443868 occupation=Tech-support
-0.2936625083209298 -0.701726941680963 -3.5890470743235094 -1.1195824731044837 0.31296981184676076 0.6938087829397379 0.5990968639611048 4.202911839686273 -3.9850690585732402 3.380677018960694 occupation=Craft-repair
-2.4724690283890594 1.7512005206420298 0.34203966484688825 -0.02047363453599374 -2.898931957314945 -4.856507049684524 0.09334353231158783 0.11357992737959495 -1.0094973093562702 -2.0581621233721017 occupation=Other-service
-0.2975676617468839 -0.19322483207859745 -2.936683503579857 0.5233486290891715 1.6387171071202802 -1.248556222374356 -1.028107503353897 -2.1217497195051114 -0.5529608153933507 -2.110548920073288 occupation=Sales
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-1.3883944287535572 1.388036787107594 0.2647102243324031 2.0745114650591705 1.4788077036507632 -1.1550350239076268 -1.4394190094201245 0.8510016042291361 0.21498701230475556 1.1650011217514673 native-country=Peru
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Hidden Weights:
-6.729518940044716 6.729518940069391
5.2272280828960636 -5.227228082909607
-4.306576967502636 4.306576967514099
-5.464079761713953 5.464079761733152
-4.8999323548251414 4.8999323548393
4.424232501973984 -4.424232501987481
-5.372318644560346 5.372318644577816
-3.150552658322081 3.150552658332563
3.963354210042562 -3.9633542100537955
3.6329334666217283 -3.6329334666315907
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4509 89.9103 %
Incorrectly Classified Instances 506 10.0897 %
Mean absolute error 0.1865
Root mean squared error 0.2764
Relative absolute error 50.5048 %
Root relative squared error 64.3208 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
951 274 | a = >50K
232 3558 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13149 80.7629 %
Incorrectly Classified Instances 3132 19.2371 %
Mean absolute error 0.2468
Root mean squared error 0.3679
Relative absolute error 67.5965 %
Root relative squared error 86.5891 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2233 1613 | a = >50K
1519 10916 | b = <=50K
|
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