Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 15000 -E 0.0010 -S 1814022214 -H 2 -M 0.0445 Input Weights: 0.24921926184061372 0.09387413083999485 age -0.4706336356527112 -0.6269447415427944 workclass=Private -0.7648722111224213 -0.8782091339104181 workclass=Self-emp-not-inc 0.4646152589352113 0.13716891270477882 workclass=Self-emp-inc 0.9480050463603951 0.13000821725427847 workclass=Federal-gov -0.24412086498749508 0.9802326279458786 workclass=Local-gov 0.3787420083100268 -0.7836652588114834 workclass=State-gov -0.036581266086612274 0.2912545822185306 workclass=Without-pay -0.8012785609720987 -0.7856045344103553 workclass=Never-worked 0.19173021238078647 -0.23091526529704454 fnlwgt -0.7117006307143645 0.9131667604158094 education=Bachelors 0.7456092377046333 0.11839412744679145 education=Some-college 0.9297528685773571 0.2669960689802515 education=11th 0.3676770976345183 0.029849673419965583 education=HS-grad -0.5740965762221912 0.2181215448964111 education=Prof-school -0.8501952070938192 0.7847185049690899 education=Assoc-acdm 0.551079055821059 -0.11030103836115779 education=Assoc-voc -0.10418647803757386 -0.7996960644250604 education=9th 0.024594635857534408 -0.02270024943343163 education=7th-8th -0.8186541127733598 0.22106158474659376 education=12th -0.7545395028577662 -0.4991666269270527 education=Masters -0.27978929338972547 0.9504262175539633 education=1st-4th -0.9387230170422043 -0.14929280655629418 education=10th 0.35989239868035217 -0.90650326788535 education=Doctorate 0.1786934836956906 -0.210661057806665 education=5th-6th -0.6088944657706206 -0.9822659097861386 education=Preschool 0.8656017685403523 -0.8867879502097391 education-num -0.4901524193657869 0.40842691463540537 marital-status=Married-civ-spouse -0.6516445239812747 -0.2534106603164612 marital-status=Divorced 0.2016843708628202 0.862324992787892 marital-status=Never-married -0.6335425372067045 -0.3253945752229197 marital-status=Separated 0.35707360968031066 0.884736410158639 marital-status=Widowed 0.9017909579546453 0.2233188451471222 marital-status=Married-spouse-absent -0.7527824968052199 -0.6155199197319277 marital-status=Married-AF-spouse -0.5672088042224805 0.49375188090978006 occupation=Tech-support 0.6098164848735226 -0.25691110687342 occupation=Craft-repair -0.9470852541811694 -0.6639467849373684 occupation=Other-service 0.37449965799675833 -0.6909819986362629 occupation=Sales 0.4080658914700057 0.03252219514934218 occupation=Exec-managerial 0.7037101445137008 0.2675360953767172 occupation=Prof-specialty -0.786260626198781 -0.8881001308013405 occupation=Handlers-cleaners 0.5852570126274319 0.38941386609211937 occupation=Machine-op-inspct -0.23226376383413028 0.5534013134069211 occupation=Adm-clerical -0.41981558933096497 -0.6128218697632963 occupation=Farming-fishing 0.6303595648280125 -0.4874939606732065 occupation=Transport-moving 0.7403826191675749 0.3210265078054919 occupation=Priv-house-serv 0.8467027867928845 0.9103691634214184 occupation=Protective-serv 0.7445529109732054 0.6056958519505957 occupation=Armed-Forces -0.3255437246060513 -0.5825546339139347 relationship=Wife -0.6174326567495834 0.1766054884657311 relationship=Own-child 0.788783845430691 -0.9841452289229955 relationship=Husband 0.41451133294146314 -0.12584741234107977 relationship=Not-in-family 0.9902105154461001 0.2742476998263046 relationship=Other-relative 0.1530939172308381 0.2885772143690777 relationship=Unmarried -0.7371791783451276 -0.6127336281067244 race=White 0.8217289168031006 0.45754214365962276 race=Asian-Pac-Islander 0.9328448187855536 0.9367395656783566 race=Amer-Indian-Eskimo 0.6242679270344191 0.8014382441965686 race=Other -0.9298870109085451 -0.9151948030214383 race=Black -0.33133026954645817 -0.5118635705430858 sex 0.15883930616596964 -0.2846840516733431 capital-gain -0.5978406069033679 0.603911057637986 capital-loss 0.5354535019222837 0.9479715164452576 hours-per-week -0.6302672703880108 -0.2712343793518952 native-country=United-States -0.1608040425870374 -0.1477831560754692 native-country=Cambodia -0.924965384978814 -0.9756537492539303 native-country=England 0.5291184964670359 0.32137615135337017 native-country=Puerto-Rico -0.979746966602572 -0.9132589588202908 native-country=Canada 0.765955129743914 -0.4881643032053622 native-country=Germany 0.9910590106883839 0.5341835156815113 native-country=Outlying-US(Guam-USVI-etc) 0.1097381184423174 0.4311738022683542 native-country=India 0.03886070386500462 -0.37579074541418067 native-country=Japan 0.6084934671282078 0.9405398372754623 native-country=Greece -0.05544371280874083 -0.2468887782408673 native-country=South 0.10805715643387948 0.23163645671265565 native-country=China -0.8818552832489048 -0.7966955623563523 native-country=Cuba -0.25003665433382083 -0.29756460588802325 native-country=Iran 0.6333109362629343 0.28589284905026147 native-country=Honduras -0.5108300391711451 0.8870894054358651 native-country=Philippines -0.5044751109628351 0.48454359753634035 native-country=Italy 0.49556028295453936 -0.16303620922783124 native-country=Poland -0.7798941099385366 0.3446568027474133 native-country=Jamaica -0.96410556787343 -0.9123643491364113 native-country=Vietnam -0.3793136569813149 -0.2355126267589327 native-country=Mexico -0.00686657199828411 0.41116839617603707 native-country=Portugal 0.4898886775898519 0.721774166648014 native-country=Ireland 0.7885254735867124 -0.8822039849456711 native-country=France -0.9521155952725002 0.09376803346094609 native-country=Dominican-Republic -0.05701722054129532 -0.7460757337763271 native-country=Laos -0.06033663070055173 0.4772768864756334 native-country=Ecuador -0.2437113406976139 -0.9946024673758551 native-country=Taiwan 0.8208817627344382 -0.7408366266001591 native-country=Haiti 0.09751405105375488 0.6613766830534971 native-country=Columbia 0.6714090371246377 0.6910970063533055 native-country=Hungary 0.6833918935734766 -0.8262556147829869 native-country=Guatemala -0.2547684306553426 -0.4565259026818458 native-country=Nicaragua -0.33724893540760603 -0.44771364237275746 native-country=Scotland -0.8209724749416796 0.8042364808180924 native-country=Thailand -0.8923495351906385 0.8033089136110478 native-country=Yugoslavia 0.7570746289557555 0.6945400622801392 native-country=El-Salvador -0.9874670457451749 0.928934641931406 native-country=Trinadad&Tobago 0.02852759767976787 -0.565696438529399 native-country=Peru 0.5922409152486394 -0.42011588182190396 native-country=Hong -0.9004294467375469 0.23980914954136878 native-country=Holand-Netherlands Hidden Weights: -0.9736451317337307 0.09968201057077608 0.8412148510247306 0.6643415015987919 >50K <=50K Error sum for iteration 100 = 4462.694998760271 Error sum for iteration 200 = 4643.736816257961 Error sum for iteration 300 = 4677.868912476329 Error sum for iteration 400 = 4708.188248362593 Error sum for iteration 500 = 4738.976158027316 Error sum for iteration 600 = 4764.872085872112 Error sum for iteration 700 = 4783.8105829396 Error sum for iteration 800 = 4797.219945548178 Error sum for iteration 900 = 4807.235576174012 Error sum for iteration 1000 = 4815.451113008527 Error sum for iteration 1100 = 4822.876779945301 Error sum for iteration 1200 = 4830.18585745168 Error sum for iteration 1300 = 4837.831917612772 Error sum for iteration 1400 = 4846.163819549942 Error sum for iteration 1500 = 4855.461099425331 Error sum for iteration 1600 = 4865.994691991908 Error sum for iteration 1700 = 4878.052426191847 Error sum for iteration 1800 = 4891.953856218471 Error sum for iteration 1900 = 4908.027446820844 Error sum for iteration 2000 = 4926.641699797011 Error sum for iteration 2100 = 4948.1847739253835 Error sum for iteration 2200 = 4973.046469140692 Error sum for iteration 2300 = 5001.5828354362 Error sum for iteration 2400 = 5034.045552241973 Error sum for iteration 2500 = 5070.518656785568 Error sum for iteration 2600 = 5110.8245826957245 Error sum for iteration 2700 = 5154.486458748521 Error sum for iteration 2800 = 5200.754503883895 Error sum for iteration 2900 = 5248.577449585806 Error sum for iteration 3000 = 5296.714479465272 Error sum for iteration 3100 = 5343.795820233866 Error sum for iteration 3200 = 5388.343233249076 Error sum for iteration 3300 = 5428.962113152806 Error sum for iteration 3400 = 5464.476898368137 Error sum for iteration 3500 = 5494.246135751804 Error sum for iteration 3600 = 5518.329150328467 Error sum for iteration 3700 = 5537.543630279742 Error sum for iteration 3800 = 5553.066053384193 Error sum for iteration 3900 = 5566.110230665604 Error sum for iteration 4000 = 5577.752532942032 Error sum for iteration 4100 = 5588.772755145134 Error sum for iteration 4200 = 5599.570902063926 Error sum for iteration 4300 = 5610.303191780805 Error sum for iteration 4400 = 5620.867055602215 Error sum for iteration 4500 = 5631.110246606629 Error sum for iteration 4600 = 5640.833007338276 Error sum for iteration 4700 = 5649.8687807993965 Error sum for iteration 4800 = 5658.126254367076 Error sum for iteration 4900 = 5665.569110787992 Error sum for iteration 5000 = 5672.235758021724 Error sum for iteration 5100 = 5678.202508947367 Error sum for iteration 5200 = 5683.559115132678 Error sum for iteration 5300 = 5688.400812968006 Error sum for iteration 5400 = 5692.8206485892715 Error sum for iteration 5500 = 5696.900714442895 Error sum for iteration 5600 = 5700.712452765026 Error sum for iteration 5700 = 5704.308778300639 Error sum for iteration 5800 = 5707.737663795246 Error sum for iteration 5900 = 5711.036391679609 Error sum for iteration 6000 = 5714.23291993901 Error sum for iteration 6100 = 5717.350925132128 Error sum for iteration 6200 = 5720.408901002639 Error sum for iteration 6300 = 5723.4187548486425 Error sum for iteration 6400 = 5726.390005130619 Error sum for iteration 6500 = 5729.33164067373 Error sum for iteration 6600 = 5732.24758343686 Error sum for iteration 6700 = 5735.141059138456 Error sum for iteration 6800 = 5738.015172086043 Error sum for iteration 6900 = 5740.873073844602 Error sum for iteration 7000 = 5743.713797815176 Error sum for iteration 7100 = 5746.537296466811 Error sum for iteration 7200 = 5749.342063683331 Error sum for iteration 7300 = 5752.128164539855 Error sum for iteration 7400 = 5754.894357347355 Error sum for iteration 7500 = 5757.639877878936 Error sum for iteration 7600 = 5760.363265900604 Error sum for iteration 7700 = 5763.062429948959 Error sum for iteration 7800 = 5765.736185184711 Error sum for iteration 7900 = 5768.383169916781 Error sum for iteration 8000 = 5771.002843171074 Error sum for iteration 8100 = 5773.594845537439 Error sum for iteration 8200 = 5776.157416709658 Error sum for iteration 8300 = 5778.689703744085 Error sum for iteration 8400 = 5781.190873391073 Error sum for iteration 8500 = 5783.660289715816 Error sum for iteration 8600 = 5786.0978311861 Error sum for iteration 8700 = 5788.502377858825 Error sum for iteration 8800 = 5790.874075065405 Error sum for iteration 8900 = 5793.211650109329 Error sum for iteration 9000 = 5795.515037715831 Error sum for iteration 9100 = 5797.784531184194 Error sum for iteration 9200 = 5800.01901030067 Error sum for iteration 9300 = 5802.218399824304 Error sum for iteration 9400 = 5804.38235960701 Error sum for iteration 9500 = 5806.510727384043 Error sum for iteration 9600 = 5808.603642200329 Error sum for iteration 9700 = 5810.661236450312 Error sum for iteration 9800 = 5812.684448081233 Error sum for iteration 9900 = 5814.672559993956 Error sum for iteration 10000 = 5816.626302243858 Error sum for iteration 10100 = 5818.544902062573 Error sum for iteration 10200 = 5820.428498601043 Error sum for iteration 10300 = 5822.277585360504 Error sum for iteration 10400 = 5824.092876090737 Error sum for iteration 10500 = 5825.87374078702 Error sum for iteration 10600 = 5827.620462719532 Error sum for iteration 10700 = 5829.333796248986 Error sum for iteration 10800 = 5831.0137786517425 Error sum for iteration 10900 = 5832.660644795149 Error sum for iteration 11000 = 5834.275053628675 Error sum for iteration 11100 = 5835.857626432838 Error sum for iteration 11200 = 5837.408331296212 Error sum for iteration 11300 = 5838.927979299976 Error sum for iteration 11400 = 5840.416123114485 Error sum for iteration 11500 = 5841.873214370081 Error sum for iteration 11600 = 5843.299663858005 Error sum for iteration 11700 = 5844.6957592252065 Error sum for iteration 11800 = 5846.061816450136 Error sum for iteration 11900 = 5847.398248538017 Error sum for iteration 12000 = 5848.705412972441 Error sum for iteration 12100 = 5849.983690557333 Error sum for iteration 12200 = 5851.2334840016165 Error sum for iteration 12300 = 5852.455304715366 Error sum for iteration 12400 = 5853.649801487433 Error sum for iteration 12500 = 5854.817057178861 Error sum for iteration 12600 = 5855.957792087248 Error sum for iteration 12700 = 5857.072513895387 Error sum for iteration 12800 = 5858.161168744042 Error sum for iteration 12900 = 5859.2241976979985 Error sum for iteration 13000 = 5860.26205524383 Error sum for iteration 13100 = 5861.275160998201 Error sum for iteration 13200 = 5862.263866061526 Error sum for iteration 13300 = 5863.228617298243 Error sum for iteration 13400 = 5864.1698707690575 Error sum for iteration 13500 = 5865.0880371403555 Error sum for iteration 13600 = 5865.98340338387 Error sum for iteration 13700 = 5866.85645267364 Error sum for iteration 13800 = 5867.707566555038 Error sum for iteration 13900 = 5868.537103553545 Error sum for iteration 14000 = 5869.345564237199 Error sum for iteration 14100 = 5870.13425931962 Error sum for iteration 14200 = 5870.903068432252 Error sum for iteration 14300 = 5871.651947034833 Error sum for iteration 14400 = 5872.3812419856185 Error sum for iteration 14500 = 5873.09130041771 Error sum for iteration 14600 = 5873.782912087151 Error sum for iteration 14700 = 5874.456579396751 Error sum for iteration 14800 = 5875.112345111943 Error sum for iteration 14900 = 5875.750486503509 Error sum for iteration 15000 = 5876.371255978945 Options: -I 15000 -H 2 -E 0.001 -M 0.0445 Back Propagation Neural Network: Numer Input Nodes: 104 Number Hidden Nodes: 2 Number Output Nodes: 2 -I 15000 -E 0.0010 -S 1814022214 -H 2 -M 0.0445 Input Weights: 1.4066893685493174 -9.08956527703672 age -0.18363718969964932 -0.4193224561558004 workclass=Private 0.4544322879378136 -1.1171968496670541 workclass=Self-emp-not-inc -0.4055824253894197 -0.22597678411218036 workclass=Self-emp-inc -0.6996479539527547 0.05203919622810491 workclass=Federal-gov -0.031877104610539955 -0.5327586055009174 workclass=Local-gov -0.05112964031809161 0.004592214870498053 workclass=State-gov 1.611647384338729 0.41207767222845243 workclass=Without-pay 0.6333641802316499 -0.29153298865471916 workclass=Never-worked -0.5727363422584764 -0.6739626923674495 fnlwgt -0.3181297157236973 -0.12426163985709576 education=Bachelors -0.2329104428912804 0.31573234653197446 education=Some-college 0.9339057664067947 -1.6283025837045015 education=11th -0.07842643905685712 0.3617638934448616 education=HS-grad -1.1441069186505437 0.49719368417234283 education=Prof-school -0.1464630756253527 0.4542261542008151 education=Assoc-acdm -0.2967052823878518 0.4039495583475548 education=Assoc-voc 0.6281586450985003 -0.3533920325409096 education=9th 0.61597948716277 -0.8367198511973392 education=7th-8th 0.30695294248573807 -0.38371331990707735 education=12th -0.6077998836999298 0.19806860584215574 education=Masters -0.12440561231919264 0.7527009894571232 education=1st-4th 0.19939491451827127 0.17756280464553276 education=10th -1.411767855170646 0.7242781181821271 education=Doctorate 0.5365118091346271 -0.840962929740971 education=5th-6th 1.4368718004205694 -0.7694552449504978 education=Preschool -1.6380756416283901 0.5362477841891793 education-num -1.1062426020576304 0.3550537255121835 marital-status=Married-civ-spouse 0.6530344680393635 0.19621481252835565 marital-status=Divorced 0.7548992701368705 0.02417024409975742 marital-status=Never-married 0.916732244333615 -0.891276178548217 marital-status=Separated 0.1803373875537111 0.5135755776952939 marital-status=Widowed 0.710125850586075 0.3105093024340559 marital-status=Married-spouse-absent -1.4386217539331727 0.13031020603649693 marital-status=Married-AF-spouse -0.6347856136989628 0.8327478277661079 occupation=Tech-support -0.009500170342091618 0.49739360366892443 occupation=Craft-repair 1.2845892963885042 -1.370430597719551 occupation=Other-service -0.14927567979286893 0.24772827556080204 occupation=Sales -0.5382243254478787 0.3948386454534982 occupation=Exec-managerial -0.06075579963418219 0.09493397675380166 occupation=Prof-specialty 1.0317157014771343 -0.8023877472269261 occupation=Handlers-cleaners 0.3893558722571705 0.03275589235229223 occupation=Machine-op-inspct 0.10971928716260033 0.021941220523974746 occupation=Adm-clerical 1.087157947071359 -0.583861453012049 occupation=Farming-fishing 0.38879233448113887 -0.16058079474381168 occupation=Transport-moving 1.7868937650143792 -0.5516756542189691 occupation=Priv-house-serv -0.2238774157220528 0.047412678641347066 occupation=Protective-serv 0.7777367614251917 0.4719561493335222 occupation=Armed-Forces -0.7403105188206884 0.9494924622911783 relationship=Wife 1.8914945431713281 -2.1884724464273324 relationship=Own-child 0.43364604767064174 0.3206788568781185 relationship=Husband -0.03683169377865877 0.49395823556704677 relationship=Not-in-family 1.3568966530658129 -1.328695330745821 relationship=Other-relative 0.12071024167040739 0.2903919867329955 relationship=Unmarried 0.32494401888642194 0.02257055215383139 race=White 0.28875543987151153 0.2944325929945812 race=Asian-Pac-Islander 1.2951461137218712 -1.620663012114127 race=Amer-Indian-Eskimo -0.062091240661543784 1.2144389396590305 race=Other 0.3711473245999645 0.28387804104358744 race=Black -0.888594185556285 0.8316719573972734 sex -5.4150688002518255 -0.1291142178106914 capital-gain -1.805570783276259 0.19892147278422273 capital-loss -1.7752451189991285 0.5288800767259846 hours-per-week -0.17491721553469872 -0.20176375074333214 native-country=United-States -1.992900288273627 1.088294556791546 native-country=Cambodia -0.3562138660579725 -0.0686104376725271 native-country=England 0.38988888042743136 0.2076334403391959 native-country=Puerto-Rico -0.577312843318483 0.40707508247602814 native-country=Canada -0.6020018162084787 0.20255080584704876 native-country=Germany 1.3301604189172103 0.4237712079022805 native-country=Outlying-US(Guam-USVI-etc) 0.7588661559482627 -2.1327248898540687 native-country=India 0.06786362636701584 -0.8373804702283034 native-country=Japan 0.8598927681722736 -0.025218177583184724 native-country=Greece 0.8904426644868583 -0.6001843632266652 native-country=South 0.29711580216268907 0.11226220809662363 native-country=China -0.009353556156317036 -1.5963576454509807 native-country=Cuba -0.1030469015121825 -0.0922319260636278 native-country=Iran 0.706106384158859 0.1588292931649862 native-country=Honduras -0.28701640209960344 -0.4883834879043178 native-country=Philippines -1.3666477239996353 1.7444879935829183 native-country=Italy -0.7627571821511218 1.935817535629553 native-country=Poland 0.23688158075099167 -0.9716162336531904 native-country=Jamaica 1.6225873214736997 -2.0918565849588626 native-country=Vietnam 0.46338475163620424 -0.2230872362787999 native-country=Mexico -0.0022306251629443962 -0.09862412170881653 native-country=Portugal -0.8937835906383352 0.1796642394131569 native-country=Ireland -0.46109416629487554 -0.8826871985303665 native-country=France 1.057587930679489 -0.0058896766939741385 native-country=Dominican-Republic 0.7383593225796504 -0.5272318146808216 native-country=Laos -0.40456366902670715 0.6198639253820791 native-country=Ecuador 0.21365352482999353 -0.6962186287133312 native-country=Taiwan -0.9739057256598945 1.6764534246791112 native-country=Haiti 0.9218792446576997 0.3320133058107612 native-country=Columbia -0.6678979436416078 1.412347097071503 native-country=Hungary 0.6129404022987608 -1.2215872935609637 native-country=Guatemala 1.0067055584347064 -0.8877570312487874 native-country=Nicaragua -0.5934584355685895 1.2457338256004662 native-country=Scotland 0.7285908513199961 -1.6286525058745507 native-country=Thailand -0.4696145491224539 0.12298143999255381 native-country=Yugoslavia -0.2942652081562288 0.7769744714674248 native-country=El-Salvador 0.19185243560746243 1.3096545865210016 native-country=Trinadad&Tobago 0.8487887174016969 -0.8023956833227167 native-country=Peru 0.12683516090623054 -0.8032249578371087 native-country=Hong -0.7258783313583622 0.22833202667170946 native-country=Holand-Netherlands Hidden Weights: -5.149024675769105 5.149024675769105 -4.418574806900421 4.418574806900416 >50K <=50K === Error on training data === Correctly Classified Instances 27575 84.6872 % Incorrectly Classified Instances 4986 15.3128 % Mean absolute error 0.2701 Root mean squared error 0.3353 Relative absolute error 73.8733 % Root relative squared error 78.4158 % Total Number of Instances 32561 === Confusion Matrix === a b <-- classified as 4730 3111 | a = >50K 1875 22845 | b = <=50K === Error on test data === Correctly Classified Instances 13738 84.3806 % Incorrectly Classified Instances 2543 15.6194 % Mean absolute error 0.2712 Root mean squared error 0.3374 Relative absolute error 74.6432 % Root relative squared error 79.4361 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 2272 1574 | a = >50K 969 11466 | b = <=50K