Naive Bayes (simple) Class >50K: P(C) = 0.24082548 Attribute age '(-inf-21]' 0.00076433 '(21-23]' 0.0033121 '(23-27]' 0.02917197 '(27-29]' 0.03235669 '(29-35]' 0.1522293 '(35-43]' 0.28101911 '(43-54]' 0.33503185 '(54-61]' 0.10802548 '(61-inf)' 0.05808917 Attribute workclass Private 0.64821102 Self-emp-not-inc 0.09467224 Self-emp-inc 0.08135283 Federal-gov 0.04857665 Local-gov 0.08069992 State-gov 0.04622617 Without-pay 0.00013058 Never-worked 0.00013058 Attribute fnlwgt 'All' 1 Attribute education Bachelors 0.28280514 Some-college 0.17665776 11th 0.00776378 HS-grad 0.21331297 Prof-school 0.05396462 Assoc-acdm 0.03385516 Assoc-voc 0.04607356 9th 0.0035637 7th-8th 0.00521828 12th 0.00432735 Masters 0.12218404 1st-4th 0.00089093 10th 0.00801833 Doctorate 0.03907344 5th-6th 0.00216368 Preschool 0.00012728 Attribute education-num '(-inf-8]' 0.03121814 '(8-9]' 0.21355759 '(9-10]' 0.17686035 '(10-12]' 0.07989297 '(12-13]' 0.28312946 '(13-14]' 0.12232416 '(14-inf)' 0.09301733 Attribute marital-status Married-civ-spouse 0.85282875 Divorced 0.05912334 Never-married 0.06269113 Separated 0.00853721 Widowed 0.01095821 Married-spouse-absent 0.00445973 Married-AF-spouse 0.00140163 Attribute occupation Tech-support 0.03705637 Craft-repair 0.12134656 Other-service 0.01800626 Sales 0.12839248 Exec-managerial 0.25691545 Prof-specialty 0.24269311 Handlers-cleaners 0.01135177 Machine-op-inspct 0.03275052 Adm-clerical 0.06628392 Farming-fishing 0.0151357 Transport-moving 0.04188413 Priv-house-serv 0.00026096 Protective-serv 0.0276618 Armed-Forces 0.00026096 Attribute relationship Wife 0.09506818 Own-child 0.00866573 Husband 0.75430101 Not-in-family 0.10921371 Other-relative 0.00484262 Unmarried 0.02790875 Attribute race White 0.90721387 Asian-Pac-Islander 0.03530461 Amer-Indian-Eskimo 0.00471578 Other 0.00331379 Black 0.04945195 Attribute sex Female 0.15045263 Male 0.84954737 Attribute capital-gain '(-inf-0]' 0.78475051 '(0-2993]' 0.00012729 '(2993-3103]' 0.0115835 '(3103-4101]' 0.00012729 '(4101-4386]' 0.00751018 '(4386-4650]' 0.00012729 '(4650-4787]' 0.00343686 '(4787-4931]' 0.00012729 '(4931-4934]' 0.00101833 '(4934-5060]' 0.00012729 '(5060-5178]' 0.01247454 '(5178-5455]' 0.00012729 '(5455-6514]' 0.00267312 '(6514-6849]' 0.00012729 '(6849-inf)' 0.17566191 Attribute capital-loss '(-inf-1539]' 0.9040224 '(1539-1564]' 0.00330957 '(1564-1816]' 0.00038187 '(1816-1848]' 0.00712831 '(1848-1876]' 0.00012729 '(1876-1902]' 0.04442464 '(1902-1974]' 0.00012729 '(1974-1977]' 0.02151222 '(1977-2163]' 0.00012729 '(2163-2174]' 0.00101833 '(2174-2206]' 0.00025458 '(2206-2377]' 0.00445519 '(2377-2444]' 0.00903768 '(2444-3683]' 0.00394603 '(3683-inf)' 0.00012729 Attribute hours-per-week '(-inf-34]' 0.04944565 '(34-39]' 0.04485791 '(39-41]' 0.41480821 '(41-49]' 0.13635784 '(49-65]' 0.31795591 '(65-inf)' 0.03657449 Attribute native-country United-States 0.92709411 Cambodia 0.00103413 England 0.00400724 Puerto-Rico 0.00168046 Canada 0.00517063 Germany 0.00581696 Outlying-US(Guam-USVI-etc) 0.00012927 India 0.0052999 Japan 0.00323164 Greece 0.00116339 South 0.00219752 China 0.00271458 Cuba 0.00336091 Iran 0.00245605 Honduras 0.00025853 Philippines 0.00801448 Italy 0.00336091 Poland 0.00168046 Jamaica 0.00142192 Vietnam 0.00077559 Mexico 0.00439504 Portugal 0.00064633 Ireland 0.00077559 France 0.00168046 Dominican-Republic 0.0003878 Laos 0.0003878 Ecuador 0.00064633 Taiwan 0.00271458 Haiti 0.00064633 Columbia 0.0003878 Hungary 0.00051706 Guatemala 0.00051706 Nicaragua 0.0003878 Scotland 0.00051706 Thailand 0.00051706 Yugoslavia 0.00090486 El-Salvador 0.00129266 Trinadad&Tobago 0.0003878 Peru 0.0003878 Hong 0.00090486 Holand-Netherlands 0.00012927 Class <=50K: P(C) = 0.75917452 Attribute age '(-inf-21]' 0.12641029 '(21-23]' 0.06542925 '(23-27]' 0.12260908 '(27-29]' 0.05774597 '(29-35]' 0.16260261 '(35-43]' 0.17578551 '(43-54]' 0.15969105 '(54-61]' 0.06591451 '(61-inf)' 0.06381172 Attribute workclass Private 0.76827102 Self-emp-not-inc 0.07875926 Self-emp-inc 0.02144435 Federal-gov 0.02555994 Local-gov 0.06398648 State-gov 0.04098254 Without-pay 0.00064983 Never-worked 0.00034658 Attribute fnlwgt 'All' 1 Attribute education Bachelors 0.12673836 Some-college 0.23872089 11th 0.04511643 HS-grad 0.35684832 Prof-school 0.00622574 Assoc-acdm 0.03246281 Assoc-voc 0.0413163 9th 0.01972833 7th-8th 0.02453913 12th 0.01621119 Masters 0.03092658 1st-4th 0.00658959 10th 0.03525226 Doctorate 0.00436611 5th-6th 0.01285576 Preschool 0.0021022 Attribute education-num '(-inf-8]' 0.16217091 '(8-9]' 0.3569782 '(9-10]' 0.23880778 '(10-12]' 0.07376552 '(12-13]' 0.12678449 '(13-14]' 0.03093784 '(14-inf)' 0.01055526 Attribute marital-status Married-civ-spouse 0.33505884 Divorced 0.1609981 Never-married 0.41222146 Separated 0.03882396 Widowed 0.03676143 Married-spouse-absent 0.01557002 Married-AF-spouse 0.00056618 Attribute occupation Tech-support 0.02798718 Craft-repair 0.13737978 Other-service 0.13685989 Sales 0.1155879 Exec-managerial 0.09093666 Prof-specialty 0.09886492 Handlers-cleaners 0.05567109 Machine-op-inspct 0.07594663 Adm-clerical 0.14140889 Farming-fishing 0.03812495 Transport-moving 0.05536782 Priv-house-serv 0.00645525 Protective-serv 0.01901915 Armed-Forces 0.00038991 Attribute relationship Wife 0.03332524 Own-child 0.20229718 Husband 0.29426515 Not-in-family 0.30130227 Other-relative 0.03821888 Unmarried 0.13059128 Attribute race White 0.8372093 Asian-Pac-Islander 0.0308999 Amer-Indian-Eskimo 0.01116279 Other 0.00998989 Black 0.11073812 Attribute sex Female 0.38803495 Male 0.61196505 Attribute capital-gain '(-inf-0]' 0.95759046 '(0-2993]' 0.0191227 '(2993-3103]' 0.00032343 '(3103-4101]' 0.01253285 '(4101-4386]' 0.00052557 '(4386-4650]' 0.00266828 '(4650-4787]' 0.00004043 '(4787-4931]' 0.00076814 '(4931-4934]' 0.00004043 '(4934-5060]' 0.00287043 '(5060-5178]' 0.00004043 '(5178-5455]' 0.00048514 '(5455-6514]' 0.00072771 '(6514-6849]' 0.001415 '(6849-inf)' 0.000849 Attribute capital-loss '(-inf-1539]' 0.97420659 '(1539-1564]' 0.00004043 '(1564-1816]' 0.0140287 '(1816-1848]' 0.00008086 '(1848-1876]' 0.00161714 '(1876-1902]' 0.000566 '(1902-1974]' 0.00080857 '(1974-1977]' 0.00004043 '(1977-2163]' 0.004528 '(2163-2174]' 0.00004043 '(2174-2206]' 0.00125328 '(2206-2377]' 0.00185971 '(2377-2444]' 0.00004043 '(2444-3683]' 0.000566 '(3683-inf)' 0.00032343 Attribute hours-per-week '(-inf-34]' 0.21018361 '(34-39]' 0.07401116 '(39-41]' 0.4853191 '(41-49]' 0.08149317 '(49-65]' 0.12727493 '(65-inf)' 0.02171803 Attribute native-country United-States 0.9044565 Cambodia 0.00053445 England 0.00250781 Puerto-Rico 0.0042345 Canada 0.00341227 Germany 0.0038645 Outlying-US(Guam-USVI-etc) 0.00061667 India 0.00250781 Japan 0.00160335 Greece 0.00090446 South 0.00267226 China 0.00230225 Cuba 0.00291893 Iran 0.0010689 Honduras 0.00053445 Philippines 0.00567341 Italy 0.00201447 Poland 0.00201447 Jamaica 0.00296004 Vietnam 0.00259003 Mexico 0.02511922 Portugal 0.0013978 Ireland 0.00082223 France 0.00074001 Dominican-Republic 0.0028367 Laos 0.0006989 Ecuador 0.00102779 Taiwan 0.00131557 Haiti 0.00168558 Columbia 0.00238448 Hungary 0.00045223 Guatemala 0.00254892 Nicaragua 0.00135668 Scotland 0.00041112 Thailand 0.00065779 Yugoslavia 0.00045223 El-Salvador 0.00402894 Trinadad&Tobago 0.00074001 Peru 0.00123335 Hong 0.00061667 Holand-Netherlands 0.00008222 === Error on training data === Correctly Classified Instances 27346 83.9839 % Incorrectly Classified Instances 5215 16.0161 % Mean absolute error 0.1751 Root mean squared error 0.3406 Relative absolute error 47.8946 % Root relative squared error 79.6496 % Total Number of Instances 32561 === Confusion Matrix === a b <-- classified as 6222 1619 | a = >50K 3596 21124 | b = <=50K === Error on test data === Correctly Classified Instances 13720 84.27 % Incorrectly Classified Instances 2561 15.73 % Mean absolute error 0.1745 Root mean squared error 0.3402 Relative absolute error 48.0408 % Root relative squared error 80.0963 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 3051 795 | a = >50K 1766 10669 | b = <=50K