Naive Bayes Classifier Class >50K: Prior probability = 0.24 age: Normal Distribution. Mean = 44.105 StandardDev = 10.364 WeightSum = 7841 Precision = 1.0138888888888888 workclass: Discrete Estimator. Counts = 4964 725 623 372 618 354 1 1 (Total = 7658) fnlwgt: Normal Distribution. Mean = 188004.5163 StandardDev = 102535.4004 WeightSum = 7841 Precision = 68.01958700974731 education: Discrete Estimator. Counts = 2222 1388 61 1676 424 266 362 28 41 34 960 7 63 307 17 1 (Total = 7857) education-num: Normal Distribution. Mean = 11.6117 StandardDev = 2.385 WeightSum = 7841 Precision = 1.0 marital-status: Discrete Estimator. Counts = 6693 464 492 67 86 35 11 (Total = 7848) occupation: Discrete Estimator. Counts = 284 930 138 984 1969 1860 87 251 508 116 321 2 212 2 (Total = 7664) relationship: Discrete Estimator. Counts = 746 68 5919 857 38 219 (Total = 7847) race: Discrete Estimator. Counts = 7118 277 37 26 388 (Total = 7846) sex: Discrete Estimator. Counts = 1180 6663 (Total = 7843) capital-gain: Normal Distribution. Mean = 4029.7337 StandardDev = 14582.8927 WeightSum = 7841 Precision = 847.4491525423729 capital-loss: Normal Distribution. Mean = 194.5982 StandardDev = 594.0944 WeightSum = 7841 Precision = 47.86813186813187 hours-per-week: Normal Distribution. Mean = 45.4355 StandardDev = 10.9806 WeightSum = 7841 Precision = 1.053763440860215 native-country: Discrete Estimator. Counts = 7172 8 31 13 40 45 1 41 25 9 17 21 26 19 2 62 26 13 11 6 34 5 6 13 3 3 5 21 5 3 4 4 3 4 4 7 10 3 3 7 1 (Total = 7736) Class <=50K: Prior probability = 0.76 age: Normal Distribution. Mean = 36.849 StandardDev = 13.8028 WeightSum = 24720 Precision = 1.0138888888888888 workclass: Discrete Estimator. Counts = 17734 1818 495 590 1477 946 15 8 (Total = 23083) fnlwgt: Normal Distribution. Mean = 190340.8916 StandardDev = 106480.1251 WeightSum = 24720 Precision = 68.01958700974731 education: Discrete Estimator. Counts = 3135 5905 1116 8827 154 803 1022 488 607 401 765 163 872 108 318 52 (Total = 24736) education-num: Normal Distribution. Mean = 9.5951 StandardDev = 2.4361 WeightSum = 24720 Precision = 1.0 marital-status: Discrete Estimator. Counts = 8285 3981 10193 960 909 385 14 (Total = 24727) occupation: Discrete Estimator. Counts = 646 3171 3159 2668 2099 2282 1285 1753 3264 880 1278 149 439 9 (Total = 23082) relationship: Discrete Estimator. Counts = 824 5002 7276 7450 945 3229 (Total = 24726) race: Discrete Estimator. Counts = 20700 764 276 247 2738 (Total = 24725) sex: Discrete Estimator. Counts = 9593 15129 (Total = 24722) capital-gain: Normal Distribution. Mean = 149.7434 StandardDev = 965.1905 WeightSum = 24720 Precision = 847.4491525423729 capital-loss: Normal Distribution. Mean = 53.0209 StandardDev = 310.1864 WeightSum = 24720 Precision = 47.86813186813187 hours-per-week: Normal Distribution. Mean = 38.8175 StandardDev = 12.3267 WeightSum = 24720 Precision = 1.053763440860215 native-country: Discrete Estimator. Counts = 22000 13 61 103 83 94 15 61 39 22 65 56 71 26 13 138 49 49 72 63 611 34 20 18 69 17 25 32 41 58 11 62 33 10 16 11 98 18 30 15 2 (Total = 24324) === Error on training data === Correctly Classified Instances 27149 83.3789 % Incorrectly Classified Instances 5412 16.6211 % Mean absolute error 0.1743 Root mean squared error 0.3731 Relative absolute error 47.6767 % Root relative squared error 87.2648 % Total Number of Instances 32561 === Confusion Matrix === a b <-- classified as 4032 3809 | a = >50K 1603 23117 | b = <=50K === Error on test data === Correctly Classified Instances 13514 83.0047 % Incorrectly Classified Instances 2767 16.9953 % Mean absolute error 0.1764 Root mean squared error 0.376 Relative absolute error 48.5636 % Root relative squared error 88.5068 % Total Number of Instances 16281 === Confusion Matrix === a b <-- classified as 1940 1906 | a = >50K 861 11574 | b = <=50K