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: -0.9636188229717386 0.12318012281498225 0.8451824061868047 0.6141391129733555 -0.48867220092870456 0.1922721362862927 -0.3539907196661243 0.2861724284930913 -0.9626398274594217 -0.5049679287162809 age 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 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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 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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 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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 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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 -0.5833664147984634 -0.0820607032807563 -1.0430057532891819 0.41130370517086456 -0.5735648305083407 -0.30728991499622077 -0.07696939004956986 -1.0138905110342593 1.160084260738006 0.7749474478204206 native-country=Holand-Netherlands 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