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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 1771691460
-H 10
-M 1.0E-4
Input Weights:
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0.4145240217994952 -0.23684290521664675 0.29686076490002145 -0.6700402378861618 0.4702811322365825 -0.3693378126223603 0.7383298502936981 -0.7874467358065751 0.13487938360512075 -0.6092675543438881 workclass=Private
0.6259074305948815 0.26441628848391074 0.8737934159020666 -0.46026541000180643 -0.5000602735858883 -0.4740513177613077 -0.9028948731117676 -0.8007191249025163 -0.917407474156098 0.2595455446127517 workclass=Self-emp-not-inc
0.2917807017968512 0.8650570226657373 -0.42505312633001147 0.46922555728935 -0.9081260227528971 0.9155377160800469 0.20925637988020096 0.3557368402384242 -0.41005201665629665 0.561560297790944 workclass=Self-emp-inc
0.7054692415187878 0.1628820155580517 0.3002781223674056 -0.5121426154977817 0.1310975526072351 0.543332674801789 -0.6818139148347631 0.8075601802203733 0.8979717262533853 0.042698237911527714 workclass=Federal-gov
-0.08518733994039684 -0.41336675364670095 0.5317293848498454 -0.03775630731349189 -0.6250611624737017 -0.5599136606721307 -0.7059177981833884 0.48562887214439265 -0.046678518609253095 -0.7862426967229157 workclass=Local-gov
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0.7821972380705076 -0.936470486072905 -0.690530186685969 0.19522800889803205 -0.7551044844841643 -0.20601032179492762 -0.16615817492420426 0.7071713580420977 0.13155165378952982 0.837662306806916 workclass=Without-pay
0.9528102762588566 0.23839546045556403 -0.1417709173415571 0.505164976377869 0.7797117759517205 -0.8973734303371299 0.8719205361417952 0.0037992743029606757 -0.07182842317636862 0.7073790774341664 workclass=Never-worked
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-0.45628238592228065 -0.18829387027435907 -0.09572541688495662 -0.37957335739774667 0.5298633829772172 0.2783031261545694 -0.09595640669967498 -0.18603578070497084 0.9832635975033157 -0.4715231132141371 native-country=Philippines
0.7508500262668594 0.7233977646792391 0.8846345332784786 -0.5976688495135161 0.1313574777146087 -0.13792394721725665 -0.007824672062802351 -0.5350391931073579 0.2975135025739528 -0.047576164778083685 native-country=Italy
0.6686176322069679 -0.4058620253615304 -0.4665936768301686 0.2847199597693717 -0.40926188092195925 -0.5193676199709372 -0.5779944835168316 -0.9048270749249143 -0.9062268901802251 -0.44626453003820066 native-country=Poland
-0.339046538539328 0.9399457106702409 -0.7472087105173277 -0.21133700741620776 0.5299657972962681 -0.7582951945114296 0.6929030001944405 0.8574590961324624 0.19210791851173936 0.2552588438673449 native-country=Jamaica
-0.07435165732397975 -0.6047379553027581 0.8702786749200042 0.7820666328600605 0.6446906916356598 0.5451340981759092 -0.44293947429662306 -0.38276430865538646 0.9871719617095249 -0.5150984305358322 native-country=Vietnam
0.5930235532780701 0.17073867084010108 -0.8442925828888839 0.20458517926360065 0.38013028587972086 -0.033108724895562824 0.9066158269868632 0.8727766859336719 0.6028015645243385 0.6393270594584588 native-country=Mexico
0.6759346615477526 0.7642048671093211 -0.5540252789746776 0.6726977038486821 -0.9449564146432239 -0.3795081330778953 0.8908175013465802 -0.9079055716236752 0.13727882495210508 0.3258743506536361 native-country=Portugal
0.016379057768072247 0.6156172961396957 0.9698682127602862 0.0820972595842282 0.8576617099941448 0.37155294600114663 -0.5108118663957681 0.04237423163197174 0.44172867059965215 -0.4114630089475959 native-country=Ireland
0.48182316757387844 0.987032665870724 -0.8630349025316906 -0.032598120340810555 0.05246181253802473 -0.9851162694188869 0.6072382299328427 0.08090430693998618 0.8263349620622245 0.18015869736119372 native-country=France
0.5098667637684644 -0.7043888478412283 -0.0955736120602686 0.008360170573834091 0.6443521660056686 -0.8184500526764984 0.6484641451849906 0.39260894848686 -0.6429517301164533 0.8185136639236819 native-country=Dominican-Republic
-0.7713559957434462 -0.47619676145386736 0.7561513644268394 0.26233968144566755 -0.5742314950062499 -0.7135122246556391 -0.3376647977201681 0.36800563338257564 -0.6847654888470329 -0.894879787656016 native-country=Laos
0.15481249538642738 0.9266031381720414 -0.36748141663615175 -0.5934435572675876 0.7991080728012803 -0.13030267627637615 0.4935716469488107 -0.2872344458366949 0.5392055136244549 0.8725015372625289 native-country=Ecuador
0.46488856394512856 -0.7894984840511439 0.24606497052495513 0.3057040464760228 -0.7309627650853949 -0.0014013518842315165 0.3306691447349077 0.19272973936854343 -0.6714235320130422 0.6556103144493766 native-country=Taiwan
0.07950000681589708 0.8036477992325388 0.004904238087863444 0.7940520415378567 0.8258017406288685 0.4524023485064397 -0.7978805584862327 0.6719504981278157 0.4356350039588097 -0.09589791743468834 native-country=Haiti
-0.490429174901738 0.6939652276498993 0.978701708809508 -0.5648803716254838 0.43692486205243 0.6226453975932162 0.09447503649822586 0.27431588943741003 0.3689763119620526 0.08955364330890947 native-country=Columbia
0.271898033222028 -0.2459933327571977 0.5788198143510039 -0.22359201294168374 0.4679364813874909 0.4326399176986535 0.8663426258897453 0.5185166042803513 0.5961871564975663 0.023114019039188305 native-country=Hungary
-0.3161011588217937 -0.1600508014554729 0.6565911569091385 -0.005699597975744819 0.9090439266374248 0.7196838893832866 -0.1429991093954388 0.5514922156297517 0.7971984438780328 -0.824066946427382 native-country=Guatemala
-0.8494068386207678 0.8951896288164376 0.1786519308849468 -0.973748922931563 -0.15926576978886975 -0.8388738395577733 0.5241512646526347 -0.26478120519313375 -0.7703423219536609 -0.08038134008021203 native-country=Nicaragua
-0.7791996464084754 0.310476996546454 0.5531169904581275 -0.4593237832261332 0.2752903314980639 -0.8448459827128181 -0.007586888668463798 -0.9414152654429155 -0.05170020199336878 0.6583465280141725 native-country=Scotland
-0.8733706854459342 -0.6517560428257905 0.876610428678229 -0.25007261772736666 0.19174282246711272 0.3896320838512539 -0.06823319035184228 -0.7869930723260192 0.6153467677874931 0.32948335272714946 native-country=Thailand
0.9141557999163075 -0.8514556563303484 0.5318937193484539 0.9256668854960306 -0.9862337749020722 -0.7327145719896448 0.05798324357780471 -0.5299258577212962 -0.15207439184709082 0.811900660442088 native-country=Yugoslavia
-0.8405887069714275 -0.6824770811375758 -0.6695202976179275 0.954806361827574 0.08222706005946634 -0.5987723197000328 0.5431464341896572 0.7013150301289652 -0.9342330000979338 0.497969302971611 native-country=El-Salvador
-0.09263245192879199 0.3817680504651202 0.7439972290968253 0.542973087151186 0.7213489748281623 -0.4752813054761902 -0.548444743869708 -0.49523270701415756 0.9897570855339439 -0.34165061554325926 native-country=Trinadad&Tobago
0.6099449891536115 -0.23871381323226637 -0.6250547570040588 -0.3175947393514911 -0.8320922359456056 -0.4105634412608343 0.5234014648844816 0.04173832938945243 0.3044113738428684 0.96720512126319 native-country=Peru
0.7994668684575994 -0.44882500894362276 0.010618927038023696 -0.08162562934182382 -0.35211730416229536 0.025626042594997456 0.8535739261182347 0.8723969402022456 0.8712033159854866 -0.41146309934456715 native-country=Hong
-0.629827968441349 0.041553292768823136 -0.9901120947614506 0.34724337231799884 -0.5627543265880157 -0.4168576585615562 -0.12163048661733677 -0.8623253612390922 0.8765911123827002 0.6817518271235026 native-country=Holand-Netherlands
Hidden Weights:
-0.07847367131523453 -0.9540131956036753
-0.002936427306443612 0.8964589853949219
0.040564834607100364 0.38285015565368763
0.8492319862738245 0.6841108581863666
0.990390972243687 0.43169859968975466
-0.008822734339450244 0.3662062309463374
0.28053694947850993 0.004328783447304474
0.41732175885563594 0.1243367576189609
-0.7359505427781656 0.8034621037221412
-0.7984261848380805 -0.0013729329079887886
>50K <=50K
Error sum for iteration 100 = 1083.3302469171826
Error sum for iteration 200 = 1137.5437718494675
Error sum for iteration 300 = 1199.9254596375488
Error sum for iteration 400 = 1259.994025134763
Error sum for iteration 500 = 1308.1457670258817
Error sum for iteration 600 = 1342.422373104385
Error sum for iteration 700 = 1364.0683317602468
Error sum for iteration 800 = 1378.0972099765058
Error sum for iteration 900 = 1386.8773238432939
Error sum for iteration 1000 = 1392.5252578863615
Error sum for iteration 1100 = 1394.5180448956671
Error sum for iteration 1200 = 1392.4166698102522
Error sum for iteration 1300 = 1386.9261316619177
Error sum for iteration 1400 = 1379.1763829241822
Error sum for iteration 1500 = 1370.943618485595
Error sum for iteration 1600 = 1363.4051898000598
Error sum for iteration 1700 = 1356.7020119099466
Error sum for iteration 1800 = 1350.5229639414172
Error sum for iteration 1900 = 1344.628912516925
Error sum for iteration 2000 = 1338.3438416816377
Error sum for iteration 2100 = 1330.9819546382419
Error sum for iteration 2200 = 1322.0453719385869
Error sum for iteration 2300 = 1311.7519045420465
Error sum for iteration 2400 = 1300.4238056876306
Error sum for iteration 2500 = 1288.2332523195412
Error sum for iteration 2600 = 1275.2575612638425
Error sum for iteration 2700 = 1261.839565465968
Error sum for iteration 2800 = 1248.4113940261411
Error sum for iteration 2900 = 1235.3271905640052
Error sum for iteration 3000 = 1222.6127845533254
Error sum for iteration 3100 = 1210.287574114591
Error sum for iteration 3200 = 1198.3296943176783
Error sum for iteration 3300 = 1186.829046264246
Error sum for iteration 3400 = 1175.8707779772196
Error sum for iteration 3500 = 1165.5541601907778
Error sum for iteration 3600 = 1155.9700727174968
Error sum for iteration 3700 = 1147.1422294577612
Error sum for iteration 3800 = 1138.979913017234
Error sum for iteration 3900 = 1131.3732391159162
Error sum for iteration 4000 = 1124.2052567793737
Error sum for iteration 4100 = 1117.466178570183
Error sum for iteration 4200 = 1111.139974032782
Error sum for iteration 4300 = 1105.2264912214962
Error sum for iteration 4400 = 1099.7141348091272
Error sum for iteration 4500 = 1094.5430221687539
Error sum for iteration 4600 = 1089.6283277360149
Error sum for iteration 4700 = 1084.9546710418679
Error sum for iteration 4800 = 1080.4864146911075
Error sum for iteration 4900 = 1076.1372247408988
Error sum for iteration 5000 = 1071.8438359720024
Error sum for iteration 5100 = 1067.5767813469145
Error sum for iteration 5200 = 1063.3298165284161
Error sum for iteration 5300 = 1059.0336436479881
Error sum for iteration 5400 = 1054.6757304441126
Error sum for iteration 5500 = 1050.2832019979044
Error sum for iteration 5600 = 1045.9227150255008
Error sum for iteration 5700 = 1041.647787946874
Error sum for iteration 5800 = 1037.437771180163
Error sum for iteration 5900 = 1033.3024046235068
Error sum for iteration 6000 = 1029.2951771326618
Options: -I 6000 -H 10 -E 0.0112 -M 0.0001
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 10
Number Output Nodes: 2
-I 6000
-E 0.0112
-S 1771691460
-H 10
-M 1.0E-4
Input Weights:
-2.0320858293963036 2.0932946886783066 -9.652119133210492 1.3923021086218221 -0.016763079431696293 -0.25929237968600627 -2.4105384686309757 -2.175966491434243 -3.5091596690587514 -6.644101058783636 age
-0.30218285682535323 -0.7014412294796551 -2.057185698968082 0.12235231941110918 3.0343034911697204 0.44810503650871975 0.8613906989701273 -3.1645944840502196 0.8292157729330287 -1.6473136184508015 workclass=Private
2.0172196221312104 1.732723230133542 2.5203842801146106 -0.6728554004785579 1.2269809329399217 -1.3522608376913285 -0.7876457368690217 0.23987825869505774 -3.3575044507413496 -0.5817475951774718 workclass=Self-emp-not-inc
-0.38426015272770253 1.0276864673639308 1.511915912509896 0.8807099942492257 -3.626957830808009 0.0523794486132079 -0.27600510752791735 0.8566004302808697 -1.332774006478221 1.8169893316423522 workclass=Self-emp-inc
-2.4558906612899025 -0.4598297375671157 -1.338352471152851 -2.294741565052512 -2.586803176943879 -0.3087528578965832 -0.9424428666497734 0.1122528160757315 0.7214552349619264 2.027347240970392 workclass=Federal-gov
1.2134580722716335 -0.27497193953753213 -0.47223411610463045 1.6660622437402588 1.1231040718207663 0.9098282675813023 2.0441717790613456 -3.2583631182515647 3.5496883683425846 -3.6575039876621247 workclass=Local-gov
2.19668914316573 -3.347209212444765 1.2826183275037402 0.08575783690797724 -1.4173090526665266 1.5431182247118245 -1.1536774124406337 3.9666925668042903 2.505422080915807 3.5637769942537805 workclass=State-gov
0.8206693758973244 -0.9836064004394061 -0.724196930680401 0.2770002635628882 -0.746954201020273 -0.008487856884512961 -0.20615550375175853 0.45808621876856204 0.4450448381039236 1.02525529631684 workclass=Without-pay
0.9992718299017003 0.11478146440601868 -0.19466457586918823 0.5692253092308274 0.7689012720313955 -0.7878056867717075 0.9165816327091918 -0.14776587549166412 0.21166472517875712 0.8005746981310844 workclass=Never-worked
-1.0239074390551206 2.213128414792918 3.520789684439162 -0.6394504393850351 -0.2148904478737367 -0.642764894219494 0.35533084356011696 2.7425916176696323 -1.5570860292379867 -1.7912438421554948 fnlwgt
-3.811638570938938 -2.250869900976817 2.191756643288021 0.002007399550424771 3.553576499238939 -4.6166579903657015 0.24681503334392826 -0.6214422832461217 -1.5242864831432048 -6.964671538272902 education=Bachelors
1.6635305836722591 -2.812584523315632 -0.3849122552684361 0.48693512421865454 2.1097625496555676 2.072432634052685 -1.0785347350640144 -2.6965519641712197 -1.291575157003922 -0.4105189984277109 education=Some-college
-2.505912513122348 -3.265118165286451 -2.0304804668116097 -0.9444159355296616 -0.020243594519720676 -2.028821927652353 -1.2387575160179194 -1.713967161572734 3.0263341503767553 -1.0782544953025206 education=11th
0.3753588759108069 -1.1536416211327447 -2.5844702483657165 0.48899547297366464 -0.1981789556336629 2.8574879079241158 0.21792326254416527 -3.618771431932666 -0.3901704259873954 0.7190825328953413 education=HS-grad
2.4188066332050964 2.88242263300187 -2.7336295638513657 -4.191309525246223 -3.062319284477583 0.31250195524960866 0.4350327764047942 -2.019232662322236 -1.4099660098162732 3.0070870810251336 education=Prof-school
-1.4220259957967067 0.15390692857824667 4.208667841874903 -0.7905002499018319 -0.0277283821526973 0.4443218860371996 0.8623952391135489 3.493421669958131 -1.6543916323760828 -0.6632806956454985 education=Assoc-acdm
-0.26610139652027837 0.10123929795853794 1.996123465696647 -0.8283688868628579 -4.842323167541112 -0.46209152345387405 -2.042368983543644 2.6283821980945055 3.1761196069902846 3.005832551843854 education=Assoc-voc
1.1253800432274617 0.35019749112714166 1.8969417110361928 1.5877750773005972 1.385398198148049 0.3624765278929493 -0.7538136356493979 -0.2616217058599431 -0.9211062182919204 -0.512943349825997 education=9th
1.5827256789094903 0.03750745739349755 -3.1349112095078118 1.186295941846869 -0.839096096445137 0.19222939622224816 -0.7199705835542135 -1.6316678283056645 2.416369388123213 0.35085800693374575 education=7th-8th
-3.776242337172656 -1.8875436628965256 -0.41039165100027614 2.4429845543057684 0.2812878119216266 1.7362972992704282 0.5138236582976818 0.6548584310633734 3.8205698567066397 -2.2678155738409185 education=12th
2.1617212811124267 -0.5173540419785478 -1.8877378870680588 3.163922952597576 1.6587180067035427 0.9152622955101193 -0.1069837490842748 -0.8061835800945194 -4.099324944555667 0.7354799330172599 education=Masters
-0.8018958203410169 -0.146436474435297 -0.8723891569699165 0.5319916708125748 0.2298132148113367 0.09385601673519374 -0.1571978415130552 -0.5294727436531153 2.5027890996530893 0.7117489453346783 education=1st-4th
4.084938453637053 3.321583308917553 -0.6938697891418935 -1.2607023211657158 2.9811852142646265 0.8181536254633913 0.08535020522313488 1.7153009355219921 -0.09701051749736564 -1.3373402531969587 education=10th
1.1890801400719904 0.42808858016171014 -1.4232028846851568 0.9351499602158759 -1.3818517574878888 -0.6852086271746648 1.8872983035526878 3.794957375601621 3.291191532957461 2.0203048660498024 education=Doctorate
0.19874032069708217 -1.955641857926246 2.470016851983084 0.09029626663318649 -0.8646116384149676 -0.7748775263782333 3.7925770435280337 -0.6634687560353627 -2.344731101706204 2.905669587639684 education=5th-6th
0.7878111214838818 1.007956264838551 0.6474949165473723 0.3760815869565426 0.1850006201650282 0.6484055648883229 0.9745295231024605 -0.633156352075532 0.7644012388707214 -0.030650698551616454 education=Preschool
-0.4975741894533192 1.228138713988766 0.7216866103141624 -1.958681308873501 -1.2289836906319958 -1.0500400056914543 0.4740209920434869 1.3305221406919472 -3.2168578951005764 0.08196281546575296 education-num
-2.2811625183398947 -0.7915626244093478 1.1779845307647923 0.2679654993259389 -3.184642942117677 -3.240503333882614 -1.2480280663730332 4.45725961322109 -4.310981340081418 -0.11943740187528273 marital-status=Married-civ-spouse
0.6188553791234804 0.605358196160877 -0.7314287797798602 1.3468441427524034 0.6677254335079276 -0.1425445969113776 3.4738610240777814 0.5912400624708489 1.9186376722852532 0.24447728200542954 marital-status=Divorced
1.8525123185754868 -1.1829586066788997 -2.587731147097828 2.2542116505438576 1.120439349525787 3.0725260630992204 0.03811935943625568 -3.4354772669985656 2.8203878029208593 -2.8556774720530025 marital-status=Never-married
-1.79179170881779 -2.5844499424409264 -3.418674334537323 1.8582589799652016 0.4468305875727053 0.12934739643244997 -0.9137348612222941 -2.59711512063736 1.1898541091404238 -0.7555246162455409 marital-status=Separated
2.634568203813976 -1.5016991946185834 1.6626490621718641 -0.08035043896447315 2.7338156866893204 0.41384893467446077 -1.9757212760272975 0.4246475785470658 0.09650612157118145 1.2935480577834675 marital-status=Widowed
1.566864058503295 2.2929680063904128 2.3897317573517514 -2.155657720078495 -1.6144348039734615 2.0270645089806902 1.7677875567202443 -1.479663557372681 3.6615370512520937 1.1853660974488345 marital-status=Married-spouse-absent
0.7677814315089089 -0.24030004483325793 0.7064116652820546 -0.9654401415320855 0.09428427224315858 -0.19779747013903715 0.47229906778044634 -0.7621076382949555 1.1428296329248495 0.5439644759109147 marital-status=Married-AF-spouse
-1.3808066365455545 -1.1689922974880615 0.6884347881063644 0.03454705075654077 -0.9586581185859803 -0.8638988919765436 -1.1107357885673157 3.1845896795689623 -2.551863575227973 1.8606194195443544 occupation=Tech-support
0.6042152456308877 -2.3681938226499097 -1.1875421435351827 3.1120637540813676 -1.0652258380808834 0.9998830082567869 0.5424827648486625 -2.808058430525558 1.4305365796455416 -0.6638006288549564 occupation=Craft-repair
3.042726129714585 -0.4985346316421799 -2.4257476743884654 2.172643629916893 2.1666437090276895 5.135960769549614 -1.0107180101930717 -3.251451734677729 0.21314411264636873 -4.8295816029725485 occupation=Other-service
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0.9034808373002851 3.4289812548697944 2.2777837398415084 -0.9907069238095612 1.5837532196415365 -2.60147129748061 5.371766870666595 2.950930858298686 -2.74496312213579 -1.8448967934216958 hours-per-week
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0.3105131496623636 0.21163665402525705 0.4181943864315389 0.6071814035603688 0.5176278090475723 -0.5490745972726965 -0.10782164817192164 -0.3612267783065123 1.1017642006258426 -0.5578531601493372 native-country=Trinadad&Tobago
1.6727869262150359 2.6408391240014777 -1.2843636998392176 -1.0642556985729807 0.5272579308303512 -0.2150687539010116 0.3980302416933274 0.48178632666935034 0.4091923856178434 2.6192324620315373 native-country=Peru
0.7757878272585904 -0.5617697505949031 -0.013339436885494136 -0.010469949944350942 -0.35153307250937726 0.19419517609518464 0.8914776136020344 0.6690141097047617 1.1660378029197527 -0.2877694613324846 native-country=Hong
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Hidden Weights:
6.869710035686924 -6.869707962215432
-8.775802207732248 8.775799842607963
-5.359491126516106 5.359489717561651
-5.838117127218574 5.838115787084669
-5.965942739630112 5.965941220167045
-3.1202947605792306 3.1202940020375918
7.7496954832169065 -7.749693150914335
5.03663405012605 -5.036632698035875
-3.096041672915538 3.096041254369542
-6.207416632520954 6.207414889902694
>50K <=50K
=== Error on training data ===
Correctly Classified Instances 4511 89.9501 %
Incorrectly Classified Instances 504 10.0499 %
Mean absolute error 0.202
Root mean squared error 0.2819
Relative absolute error 54.6931 %
Root relative squared error 65.6171 %
Total Number of Instances 5015
=== Confusion Matrix ===
a b <-- classified as
893 332 | a = >50K
172 3618 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 13129 80.64 %
Incorrectly Classified Instances 3152 19.36 %
Mean absolute error 0.261
Root mean squared error 0.3715
Relative absolute error 71.4712 %
Root relative squared error 87.4534 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
2042 1804 | a = >50K
1348 11087 | b = <=50K
|
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