Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 10
Number Output Nodes: 2
	-I	12000
	-E	1.0E-4
	-S	1795026099
	-H	10
	-M	1.0E-4
Input Weights:
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	0.057129444450440214	0.9766607327124379	0.17417481298062976	-0.1724596325350145	-0.3326895586638088	-0.42690848632372913	0.8244588799225399	-0.42401767100396204	0.2181470305313944	0.4916035392603093	native-country=Outlying-US(Guam-USVI-etc)
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	0.4185295963024891	0.8191539198821474	0.5996588920803401	0.5699051197582115	-0.46145996514767207	-0.5803672257336814	0.14057668262272238	0.8644807232883902	0.16127817740376194	-0.31993707004343763	native-country=Japan
	0.3430178072756713	0.705238276955084	-0.774643071468798	-0.16159196919271435	-0.27268565140429324	-0.8523721960902384	0.9912456076908358	-0.8999161833406801	0.8107228397376385	-0.2202942875295162	native-country=Greece
	-0.33138313698109334	-0.5136638201546897	0.19658103272046445	-0.5752323786678064	0.5182908809151989	-0.5496465396944912	-0.3571284483631263	0.8939071028611303	-0.3446951248452379	-0.1441658041812366	native-country=South
	0.38864723859763206	-0.7220550193009392	-0.9544364617447301	0.4581401678469279	-0.15868472726277894	0.41813501139205367	0.158767151114654	0.8641371873786248	0.5683228761199424	0.6261938382307124	native-country=China
	-0.05247586745289268	0.20452440929221027	0.9110193510495341	0.92899279054969	-0.7749232572719802	0.8534968481314618	-0.8891913334350126	0.8556998053433909	-0.7798554404470961	-0.6470280772164232	native-country=Cuba
	0.8969190452182341	-0.1686897451091114	-0.3730826707170949	-0.8154669704543103	0.03423257607596608	0.31716271734743917	-0.01947119558148369	-0.31690770432409643	0.21014009658512034	-0.9716518609039382	native-country=Iran
	0.4145346639207925	-0.12527858161296446	0.1372046402073832	-0.6380059878170306	0.20003520787616402	-0.7593791286327791	-0.9530739728764983	0.21348264296654174	-0.16397779133294788	0.5977340793398578	native-country=Honduras
	0.8504337499708154	-0.1104599886068598	0.8299913916426094	-0.28696371511989827	-0.04521854135250192	0.48908936026690375	-0.11985085549290564	-0.14331321334438307	0.3419279492085159	-0.9854288676781118	native-country=Philippines
	-0.3638910774824773	-0.22323161841637296	-0.32215078145033527	-0.551954064867876	-0.7223219819643605	0.9342864782373346	-0.6141607660776016	0.25128796951110033	0.28940436926880353	0.8863748384248473	native-country=Italy
	-0.32588919535873995	0.6040962443480713	-0.49370247724112737	0.05886247909464015	0.9872462373836415	0.8966808906542894	-0.995520905419669	0.6223324878857355	0.7811227453365459	0.7048953392364401	native-country=Poland
	-0.961525422633015	-0.7274796763086433	0.5391985390883267	-0.46799260810213394	-0.9681016574175887	-0.24691967052029562	-0.9631022203651554	0.2410378034009497	-0.7201587850058311	0.9197221374615323	native-country=Jamaica
	0.8904740688194221	-0.5158594776570826	0.5555329104980753	0.8274213918835838	-0.8018277319111828	-0.22495185685840768	0.5707136188112623	-0.4606095586819545	0.5135225363492442	-0.49519007787543323	native-country=Vietnam
	-0.05010082789076176	0.9509920232288431	-0.985677194125818	-0.14757615482210928	0.17609865742719522	0.4660294972608541	-0.20592657812436554	0.22079112859668792	0.6565549324427116	-0.9500935341373586	native-country=Mexico
	-0.21672387963175677	0.7874826466336178	0.16733542926869904	-0.3645716970123518	-0.23446206292350813	-0.16780309374944746	0.32047055537047586	-0.62104008106143	-0.21821140571904252	0.0435414349058445	native-country=Portugal
	0.33940715426653356	0.7347533566847471	-0.06680777213415645	-0.7698910205097971	0.652603830043464	0.12890958442101197	0.9283761642158579	-0.3532115086039085	0.7611348175900037	0.2382274481567883	native-country=Ireland
	-0.012127664131345917	0.13675835600182262	-0.7643489572473592	0.98330257417852	0.034022077729936484	-0.569199459805428	-0.12992560069934544	0.8371167744772623	0.6037881971342989	0.07724229306341579	native-country=France
	-0.9171994306339433	-0.8114299014294353	0.3361078523350547	-0.06275752629232989	-0.7648767619468977	-0.36563083992978673	0.040155888265891226	0.5777474201254633	-0.3426368715925019	-0.8456688088155511	native-country=Dominican-Republic
	-0.19027204025398659	0.04785107459758997	0.8408408511843166	-0.9107109327431262	-0.5004343431031892	-0.22269306235715547	0.5431954738102309	-0.8369268171490352	0.49405572519314433	0.13977564889060634	native-country=Laos
	0.6506632624565947	-0.6487172253123366	-0.9883922047965938	0.3309066185912992	-0.20130775939388346	0.03158904991817413	0.15707149908617923	0.5008297453763608	-0.14673001757260318	0.0035305479680933782	native-country=Ecuador
	0.5695501223491104	0.8516171176144931	0.8232308800340555	0.8566011605111936	-0.7662592721751658	-0.3649323087560401	0.6615599943731032	-0.016838775783273086	-0.006770150300749789	-0.11254305997980718	native-country=Taiwan
	-0.5674148817852702	0.0318240360465043	0.4033003026433608	0.6137096679878677	0.7127693723606336	0.9934957947301641	0.5030617794067824	0.31559894464357696	0.5050143806934186	0.3578546100104496	native-country=Haiti
	-0.4023279830537032	-0.6907129209032195	0.9410850910430721	0.7665650168996074	0.03887352466121796	0.9338693204359967	0.6833022314299371	-0.4708681034819333	-0.36388011456714975	-0.17225686945790786	native-country=Columbia
	-0.3780966558350516	-0.17950289732204516	0.12320599059038817	0.8793474280579503	0.032259073263364524	0.6932560522908264	0.43784936207986513	0.7242588553452947	0.7968770169064365	-0.7373284182614139	native-country=Hungary
	0.3331173278607278	-0.3612367729500925	-0.9961519795624905	0.3017568882326265	-0.027437995906852475	0.25381229845631004	-0.5829300856079425	-0.813973933358699	-0.4842965108574637	-0.357288968325165	native-country=Guatemala
	0.5393364035379096	0.686302324843213	-0.2781107991997578	0.4380288861897901	0.9641855817743508	-0.7714752763778756	0.597611699086595	-0.32860108216005735	-0.304954124030127	0.43861597170041833	native-country=Nicaragua
	-0.025366998789822404	-0.02557027900849751	0.25459692363291797	0.9507348133002196	0.7580745482493323	0.6204472333655731	0.6723559371981795	-0.9794223971559928	-0.09674727683436135	0.5322550185942123	native-country=Scotland
	-0.45575150147610066	0.5481062550374547	0.18643520048603812	-0.21022264242771005	0.35932706369246126	-0.4979005311681719	0.7964854925547251	0.34101318240950396	-0.7277576635875185	-0.28903051726684725	native-country=Thailand
	0.4010365963185385	-0.013195229065611214	-0.3306407486502825	0.0961864307505007	-0.5632451434913175	-0.3173041214645811	-0.029394466691121002	0.714270040309765	0.2080660836785091	-0.95597463336043	native-country=Yugoslavia
	-0.940053675195254	0.6784331404697725	0.8134562898062851	0.9856038707374086	0.32184614742062023	0.5003875527996828	0.5352891139504812	-0.6719063256238362	0.7115895987984304	-0.44277404804875964	native-country=El-Salvador
	0.7143698039466015	0.7189082604593542	0.7394265889874523	0.5259145925357187	0.8203770592027377	-0.8036175104534744	-0.355920327289615	0.30305119201979025	0.61683988903247	-0.41926119814569707	native-country=Trinadad&Tobago
	-0.2658633373940025	-0.7509873484064649	-0.6982055872205339	-0.5809206621419987	0.2680890362742374	-0.45569221352841893	0.48677563994242856	0.20077128033554903	0.5562320970263028	0.5187128957744165	native-country=Peru
	-0.6817732534104817	0.10085711365431282	0.6689229588965262	0.034574694783213955	0.7345396661566015	-0.9360649201079088	0.06562952932006016	-0.7656720203022571	0.22418749973630092	0.2528864581934611	native-country=Hong
	-0.9040164220484028	0.25108651135279736	0.013205224422864426	-0.7757084996092254	-0.5607126011364789	-0.8724289832317398	-0.21687430973717992	-0.030326519605220925	0.1295904446696372	-0.7070194419152491	native-country=Holand-Netherlands
Hidden Weights:
	0.925729927584644	-0.45345548604456853
	-0.37339907446840015	-0.37401105601102613
	0.7670593437283608	-0.097334093170099
	-0.11625861657527325	-0.03743564175773528
	0.7416474350336877	-0.8198998309785746
	-0.33446726643067404	-0.11795459918988005
	-0.0060620317453117245	0.5400165657702709
	-0.27442857284504774	0.21961699121355105
	0.03569955166125216	0.12492309319618577
	0.1813297282862023	-0.38313108438293764
		>50K		<=50K

Error sum for iteration 100 = 996.4892026448915

Error sum for iteration 200 = 1007.2580397931323

Error sum for iteration 300 = 1006.8451046726415

Error sum for iteration 400 = 1002.7739437175615

Error sum for iteration 500 = 1000.0921872204899

Error sum for iteration 600 = 999.0889652334431

Error sum for iteration 700 = 999.0459733322972

Error sum for iteration 800 = 999.419286989185

Error sum for iteration 900 = 999.9223730123992

Error sum for iteration 1000 = 1000.480178720015

Error sum for iteration 1100 = 1001.0876540609331

Error sum for iteration 1200 = 1001.765241126262

Error sum for iteration 1300 = 1002.5420653326338

Error sum for iteration 1400 = 1003.4241297871298

Error sum for iteration 1500 = 1004.4196369066715

Error sum for iteration 1600 = 1005.5311643764871

Error sum for iteration 1700 = 1006.7558564192607

Error sum for iteration 1800 = 1008.1062194138689

Error sum for iteration 1900 = 1009.5728299028357

Error sum for iteration 2000 = 1011.1392594887736

Error sum for iteration 2100 = 1012.7896322255007

Error sum for iteration 2200 = 1014.5188372614907

Error sum for iteration 2300 = 1016.3155802906343

Error sum for iteration 2400 = 1018.1679232299153

Error sum for iteration 2500 = 1020.067984034248

Error sum for iteration 2600 = 1022.0034135613613

Error sum for iteration 2700 = 1023.9629285767298

Error sum for iteration 2800 = 1025.9365537410142

Error sum for iteration 2900 = 1027.9157830774125

Error sum for iteration 3000 = 1029.8951429365263

Error sum for iteration 3100 = 1031.8718364585689

Error sum for iteration 3200 = 1033.8417180691479

Error sum for iteration 3300 = 1035.7996131005393

Error sum for iteration 3400 = 1037.7436222018337

Error sum for iteration 3500 = 1039.6692098473056

Error sum for iteration 3600 = 1041.5758474474405

Error sum for iteration 3700 = 1043.4596349657454

Error sum for iteration 3800 = 1045.3175135228068

Error sum for iteration 3900 = 1047.1469913953808

Error sum for iteration 4000 = 1048.9465916388792

Error sum for iteration 4100 = 1050.7167859941865

Error sum for iteration 4200 = 1052.4566869677485

Error sum for iteration 4300 = 1054.1670866658367

Error sum for iteration 4400 = 1055.8428599276892

Error sum for iteration 4500 = 1057.4838547590682

Error sum for iteration 4600 = 1059.0898097602806

Error sum for iteration 4700 = 1060.6594769068033

Error sum for iteration 4800 = 1062.1942519622373

Error sum for iteration 4900 = 1063.6934990648397

Error sum for iteration 5000 = 1065.157273201512

Error sum for iteration 5100 = 1066.586129537821

Error sum for iteration 5200 = 1067.9794649925893

Error sum for iteration 5300 = 1069.33678499718

Error sum for iteration 5400 = 1070.6582703231131

Error sum for iteration 5500 = 1071.9439731749524

Error sum for iteration 5600 = 1073.194400604831

Error sum for iteration 5700 = 1074.4095133424928

Error sum for iteration 5800 = 1075.5899592475728

Error sum for iteration 5900 = 1076.7364302495912

Error sum for iteration 6000 = 1077.84917374609

Error sum for iteration 6100 = 1078.9288162212788

Error sum for iteration 6200 = 1079.9751337239522

Error sum for iteration 6300 = 1080.9889661625703

Error sum for iteration 6400 = 1081.9704824693804

Error sum for iteration 6500 = 1082.9195361853833

Error sum for iteration 6600 = 1083.8377113229242

Error sum for iteration 6700 = 1084.72511841938

Error sum for iteration 6800 = 1085.5821213189818

Error sum for iteration 6900 = 1086.409028377497

Error sum for iteration 7000 = 1087.206818787657

Error sum for iteration 7100 = 1087.9762943753706

Error sum for iteration 7200 = 1088.7187580904972

Error sum for iteration 7300 = 1089.434398670349

Error sum for iteration 7400 = 1090.1238058272666

Error sum for iteration 7500 = 1090.7870983695625

Error sum for iteration 7600 = 1091.4250076290114

Error sum for iteration 7700 = 1092.0384412845465

Error sum for iteration 7800 = 1092.6281943946435

Error sum for iteration 7900 = 1093.194874895213

Error sum for iteration 8000 = 1093.7393664753283

Error sum for iteration 8100 = 1094.2621157034

Error sum for iteration 8200 = 1094.763731497377

Error sum for iteration 8300 = 1095.2451398941594

Error sum for iteration 8400 = 1095.7068397078826

Error sum for iteration 8500 = 1096.2575251781195

Error sum for iteration 8600 = 1096.9494760221253

Error sum for iteration 8700 = 1097.6222452230713

Error sum for iteration 8800 = 1098.2763936725805

Error sum for iteration 8900 = 1098.912657385842

Error sum for iteration 9000 = 1099.531404522971

Error sum for iteration 9100 = 1100.1330053789454

Error sum for iteration 9200 = 1100.7181216945728

Error sum for iteration 9300 = 1101.287827754045

Error sum for iteration 9400 = 1101.8427343918775

Error sum for iteration 9500 = 1102.383264043675

Error sum for iteration 9600 = 1102.9099019908049

Error sum for iteration 9700 = 1103.4229733510022

Error sum for iteration 9800 = 1103.9232140618167

Error sum for iteration 9900 = 1104.4111827208358

Error sum for iteration 10000 = 1104.8874231402876

Error sum for iteration 10100 = 1105.352159171864

Error sum for iteration 10200 = 1105.8057199606553

Error sum for iteration 10300 = 1106.2485506052556

Error sum for iteration 10400 = 1106.6810125249367

Error sum for iteration 10500 = 1107.1034385908006

Error sum for iteration 10600 = 1107.5160635382217

Error sum for iteration 10700 = 1107.9195025295064

Error sum for iteration 10800 = 1108.3139637662462

Error sum for iteration 10900 = 1108.7000003325395

Error sum for iteration 11000 = 1109.0779785494244

Error sum for iteration 11100 = 1109.448289715249

Error sum for iteration 11200 = 1109.8109933198114

Error sum for iteration 11300 = 1110.1667598446923

Error sum for iteration 11400 = 1110.516114489429

Error sum for iteration 11500 = 1110.8591153984805

Error sum for iteration 11600 = 1111.1959775785147

Error sum for iteration 11700 = 1111.527109726682

Error sum for iteration 11800 = 1111.8528041671143

Error sum for iteration 11900 = 1112.17315167575

Error sum for iteration 12000 = 1112.4885945987646


Options: -I 12000 -H 10 -E 0.0001 -M 0.0001 

Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 10
Number Output Nodes: 2
	-I	12000
	-E	1.0E-4
	-S	1795026099
	-H	10
	-M	1.0E-4
Input Weights:
	1.0661497353324336	-0.3864977503098527	-0.46088658031893065	-1.107386060182952	0.46965455532637673	0.6642409398759592	-1.4349010522803762	-0.10141579192694923	0.42106755452575273	-0.912275640119674	age
	-0.7670221575264823	-0.6120278291974706	-0.44125049961634505	-0.6862229362325667	0.2901050782114337	-0.832533861716891	0.1333383729470517	0.15771128957894204	-0.4565985043209169	-0.888228691111338	workclass=Private
	-0.5109801421975424	0.34340267642567734	-0.9927894042098674	0.5900766689186866	-0.6284099687282763	0.012721449896037955	-0.8485682032326431	-0.5677897890994619	0.8364025705709841	-0.7183267284354545	workclass=Self-emp-not-inc
	0.5178023963379846	-0.29324741044761904	0.15276894502351246	0.7649035501199167	0.7303822961522474	0.11999261315975707	0.2976043395387302	-0.6652207918173814	0.8757949334065365	-0.6873788552389972	workclass=Self-emp-inc
	0.5349952765006436	-0.1105833258429789	0.8270215258276844	0.6949621892075377	0.062380479693400465	-0.3446411812768212	-0.46944442795142793	0.6074428419838991	0.0142380698244668	0.51573407263917	workclass=Federal-gov
	-0.21257479327208273	0.7951027671926761	0.42619745061978836	0.19010820531036357	0.4434794311582077	0.1775749248000242	0.6170391031894084	-0.6860975848331488	-0.6108095483209793	-0.28347633400275096	workclass=Local-gov
	-0.1207081716225596	0.31245056788056386	0.3606824057305306	-0.5602904081846818	-0.44469224203931534	-0.5715730290557564	0.14073107947425056	0.44492554363352543	-0.3453254239219871	0.49163616459392145	workclass=State-gov
	-0.7208910142666733	0.38575892780171933	-0.8533294117289365	0.05493048506549962	-0.686525404258497	0.9419140190911803	-0.4341193265073733	-0.19727464953391602	0.28732788820608096	-0.15004058425181818	workclass=Without-pay
	0.5737404395811424	0.22116352611111015	-0.7201176448251382	0.40360100646237607	0.7437905677569688	-0.951160118576437	0.7781814391564188	-0.0869896939243551	-0.3192630876956264	0.8514528736571076	workclass=Never-worked
	-0.3457186317526944	0.25654782688728434	0.20745081811070132	0.6677237635903317	0.8639159130003152	0.15971687633163995	-0.6484351132393298	0.19111288947264507	0.10957477779365389	-0.23822195165880608	fnlwgt
	-0.2063599401771909	-0.30501385792749064	-0.1962909161838077	0.5781129078535568	0.2179881233558891	-0.82353425414174	0.49498654640705203	-0.3893933365069287	0.35677012936505237	0.23202187235715283	education=Bachelors
	-0.7939782417327841	0.5367461894880738	0.3796055636890422	-0.9944996743764458	0.9448192142831989	0.3799544422400873	0.46385475524025194	-0.20599960819350374	-0.7148505644009975	-0.6454238340629248	education=Some-college
	-0.31890665924876804	-0.8651569921405097	-0.8846298418936424	0.2849685906061563	-0.9473138555060283	0.6231407311165352	-0.43364407206201633	0.753695183908021	0.020314806869016634	0.4406784515488113	education=11th
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	-0.1520722058129784	0.7055181973961343	0.18040572577920425	-0.4066009473532776	-0.1967195410693285	-0.18410768109999273	0.26975806826939247	-0.6449584797697328	-0.21187394298273532	0.043326217769729766	native-country=Portugal
	0.37914615382063477	0.6953470210486679	-0.06120706642073886	-0.8075780021956949	0.6852070047678444	0.10574057304038927	0.9061478923444591	-0.367878255592782	0.7652173286357214	0.2369659915406185	native-country=Ireland
	-0.050246619497268066	0.12810316218804627	-0.7727849429671007	0.956454852012815	0.03303010474194961	-0.5683285867463539	-0.11228068113788843	0.8314492399733827	0.607171937374078	0.07606821627357573	native-country=France
	-0.8500985856669631	-0.8752556551734544	0.34811035333329676	-0.10896657688521728	-0.7490019230691545	-0.394721392615074	0.012453862437089982	0.5634314592534383	-0.3390425157960488	-0.847082913858502	native-country=Dominican-Republic
	-0.3114525309056634	0.09520634880344575	0.8079868558782459	-0.9181325792831041	-0.5614272049009686	-0.20824039070269496	0.6030634517113257	-0.8274627774157826	0.4960284470506104	0.13789273569628593	native-country=Laos
	0.5577174390198889	-0.6322802193801016	-1.0122532620831481	0.31544067531045317	-0.23418787469932534	0.04053183340723298	0.19399296954826376	0.504708793323196	-0.14408223631685016	0.0017070991479142933	native-country=Ecuador
	0.8230255900500315	0.705704448365002	0.8336160185409922	0.7783881908619702	-0.6226942299452582	-0.39966334377655277	0.5232266454114137	-0.06479844993430696	0.004399587669926925	-0.1136454176186256	native-country=Taiwan
	-0.7345614242408229	0.07232192618374045	0.37004126905204027	0.614367164515773	0.6511445314574955	1.0226976107555228	0.5740180880246616	0.32424622288073873	0.5073590712159305	0.35615374397972754	native-country=Haiti
	-0.673712643571191	-0.6061149170009542	0.8963864603549714	0.8007721145067723	-0.08951560388793103	1.0075573484871418	0.8250968294444293	-0.43373612865949174	-0.3661542162159744	-0.17503974285031496	native-country=Columbia
	-0.4595442712384492	-0.17194153628014916	0.1037089414141566	0.8611666194242953	0.008614859194201185	0.6977908359339388	0.46536583032619	0.7250087496238621	0.7997111184696472	-0.7389867676954418	native-country=Hungary
	0.33519656433916367	-0.38939914057675623	-0.9944790944219788	0.27164684204487594	-0.015272541528347179	0.23793009709119342	-0.5661247472673574	-0.8238252435471789	-0.4793019742573	-0.3579068208948575	native-country=Guatemala
	0.2675571992746102	0.8022027600321217	-0.3312219920631564	0.4516282689538048	0.8523848592944647	-0.7404007659288077	0.7137007315868509	-0.29955913730450995	-0.30516117231029416	0.4350868472206469	native-country=Nicaragua
	-0.115562288494592	-0.009196460755934832	0.23230637839603202	0.9351879889862015	0.7291116023701902	0.6295864318166234	0.7051364236116036	-0.9765381178476668	-0.0941252710118043	0.529875549520306	native-country=Scotland
	-0.5312605586383834	0.5535317196260231	0.16473843528927365	-0.22683772861078166	0.32768230247790403	-0.5006209012889472	0.8127875016402248	0.34218449004283896	-0.7246184679635455	-0.2905837994645527	native-country=Thailand
	0.25080843050007634	0.030706837187806937	-0.366211307165361	0.09000471005806394	-0.6127415888256236	-0.30409085439449196	0.027595454952937307	0.7240581483239065	0.2089402027550229	-0.9577395066683364	native-country=Yugoslavia
	-0.9797480456149313	0.6827322387279485	0.8035875560608042	0.9712676040299062	0.28141084937932304	0.48883258428213955	0.5581266446069862	-0.673599005825059	0.7127856282747317	-0.44425878298331123	native-country=El-Salvador
	0.48988082710600217	0.8018591344371598	0.6859882868640629	0.5354388630369807	0.7296110953329568	-0.7695157482113204	-0.26437674555708396	0.31428658187655173	0.6187901602697649	-0.421053427141015	native-country=Trinadad&Tobago
	-0.3660686635652529	-0.7179485214513703	-0.7248069336064532	-0.59568028020895	0.22812189437111116	-0.4388874785407468	0.5199257665981994	0.1948776192854625	0.5589957378304484	0.5169927398794653	native-country=Peru
	-0.7653448704603047	0.11227893363130166	0.6478596624445029	0.017440038338796066	0.7078753581570688	-0.9309415690009887	0.09500463223735595	-0.7643570662297468	0.22683466162464902	0.25121809163663567	native-country=Hong
	-0.9854640374513642	0.25864787239460235	-0.006291824753370097	-0.7938893082428804	-0.5843568152058308	-0.8678941995886275	-0.18935784149122845	-0.029576625327091488	0.13242454623293548	-0.708677791349277	native-country=Holand-Netherlands
Hidden Weights:
	2.8272146062634564	-2.8242548014744906
	-1.5471955252761345	1.5355769327470072
	0.49646583941869776	-0.4751240074356623
	-0.5451661853336155	0.5384553943338412
	1.3764791543941555	-1.3943281482894652
	-0.8964399564799908	0.9162569113397925
	-1.1650345539299845	1.199092468173507
	-0.4668274240302765	0.44335482767579476
	-0.057267600751768094	0.07835462541324939
	0.1771968383733325	-0.35171034320917677
		>50K		<=50K



=== Error on training data ===

Correctly Classified Instances        4217               84.0877 %
Incorrectly Classified Instances       798               15.9123 %
Mean absolute error                      0.272 
Root mean squared error                  0.3382
Relative absolute error                 73.6646 %
Root relative squared error             78.7083 %
Total Number of Instances             5015     


=== Confusion Matrix ===

    a    b   <-- classified as
  709  516 |    a = >50K
  282 3508 |    b = <=50K


=== Error on test data ===

Correctly Classified Instances       13579               83.404  %
Incorrectly Classified Instances      2702               16.596  %
Mean absolute error                      0.2761
Root mean squared error                  0.3435
Relative absolute error                 75.6175 %
Root relative squared error             80.8518 %
Total Number of Instances            16281     


=== Confusion Matrix ===

     a     b   <-- classified as
  2167  1679 |     a = >50K
  1023 11412 |     b = <=50K