Naive Bayes (simple)
Class >50K: P(C) = 0.22709163
Attribute age
Mean: 42.92920354 Standard Deviation: 9.86037961
Attribute workclass
Private Self-emp-not-inc Self-emp-inc Federal-gov
0.58119658 0.08547009 0.08547009 0.07692308
Local-gov State-gov Without-pay Never-worked
0.06837607 0.08547009 0.00854701 0.00854701
Attribute fnlwgt
Mean: 188417.6460177 Standard Deviation: 97710.42446423
Attribute education
Bachelors Some-college 11th HS-grad Prof-school
0.24031008 0.17054264 0.00775194 0.17829457 0.04651163
Masters 1st-4th 10th Doctorate 5th-6th
0.04651163 0.0620155 0.00775194 0.02325581 0.01550388
Assoc-acdm Assoc-voc 9th 7th-8th 12th
0.11627907 0.00775194 0.00775194 0.05426357 0.00775194
Preschool
0.00775194
Attribute education-num
Mean: 11.66371681 Standard Deviation: 2.40390538
Attribute marital-status
Married-civ-spouse Divorced Never-married
0.825 0.075 0.06666667
Separated Widowed Married-spouse-absent
0.00833333 0.00833333 0.00833333
Married-AF-spouse
0.00833333
Attribute occupation
Tech-support Craft-repair Other-service Sales
0.04878049 0.11382114 0.04065041 0.08943089
Exec-managerial Prof-specialty Handlers-cleaners
0.26829268 0.21138211 0.00813008
Machine-op-inspct Adm-clerical Farming-fishing
0.04878049 0.07317073 0.02439024
Transport-moving Priv-house-serv Protective-serv
0.01626016 0.00813008 0.04065041
Armed-Forces
0.00813008
Attribute relationship
Wife Own-child Husband Not-in-family Other-relative
0.13445378 0.00840336 0.69747899 0.11764706 0.01680672
Unmarried
0.02521008
Attribute race
White Asian-Pac-Islander Amer-Indian-Eskimo Other
0.83050847 0.07627119 0.00847458 0.00847458
Black
0.07627119
Attribute sex
Female Male
0.20869565 0.79130435
Attribute capital-gain
Mean: 1827.6460177 Standard Deviation: 4200.9996534
Attribute capital-loss
Mean: 202.79646018 Standard Deviation: 594.83464328
Attribute hours-per-week
Mean: 44.38053097 Standard Deviation: 10.95471081
Attribute native-country
United-States Cambodia England Puerto-Rico Canada
0.66666667 0.01333333 0.00666667 0.00666667 0.01333333
Greece South China Cuba Iran
0.00666667 0.00666667 0.01333333 0.00666667 0.00666667
Honduras Philippines Italy Poland Jamaica
0.01333333 0.00666667 0.00666667 0.02 0.01333333
Vietnam Mexico Portugal Ireland France
0.00666667 0.00666667 0.00666667 0.00666667 0.00666667
Dominican-Republic Laos Ecuador Taiwan
0.01333333 0.00666667 0.00666667 0.00666667
Haiti Columbia Hungary Guatemala Nicaragua
0.00666667 0.00666667 0.00666667 0.01333333 0.00666667
Scotland Thailand Yugoslavia El-Salvador Trinadad&Tobago
0.00666667 0.00666667 0.00666667 0.00666667 0.00666667
Germany Outlying-US(Guam-USVI-etc) India Japan
0.01333333 0.00666667 0.00666667 0.00666667
Peru Hong Holand-Netherlands
0.00666667 0.00666667 0.00666667
Class <=50K: P(C) = 0.77290837
Attribute age
Mean: 36.54005168 Standard Deviation: 14.0142534
Attribute workclass
Private Self-emp-not-inc Self-emp-inc Federal-gov
0.76358696 0.07336957 0.01630435 0.02717391
Local-gov State-gov Without-pay Never-worked
0.07608696 0.03804348 0.00271739 0.00271739
Attribute fnlwgt
Mean: 197706.94573643 Standard Deviation: 119881.03688158
Attribute education
Bachelors Some-college 11th HS-grad Prof-school
0.12406948 0.23573201 0.05955335 0.33746898 0.00248139
Assoc-acdm Assoc-voc 9th 7th-8th 12th
0.05210918 0.03473945 0.0248139 0.01736973 0.00496278
Masters 1st-4th 10th Doctorate 5th-6th
0.04218362 0.01488834 0.0248139 0.00248139 0.01736973
Preschool
0.00496278
Attribute education-num
Mean: 9.6124031 Standard Deviation: 2.47152722
Attribute marital-status
Married-civ-spouse Divorced Never-married Separated
0.34010152 0.16497462 0.40862944 0.02791878
Widowed Married-spouse-absent Married-AF-spouse
0.02791878 0.02538071 0.00507614
Attribute occupation
Tech-support Craft-repair Other-service
0.04278075 0.14438503 0.14438503
Sales Exec-managerial Prof-specialty Handlers-cleaners
0.13368984 0.07219251 0.09625668 0.05882353
Machine-op-inspct Adm-clerical Farming-fishing Transport-moving
0.06417112 0.11229947 0.02941176 0.07219251
Priv-house-serv Protective-serv Armed-Forces
0.0026738 0.02139037 0.00534759
Attribute relationship
Wife Own-child Husband Not-in-family Other-relative
0.05343511 0.18320611 0.28244275 0.33587786 0.03816794
Unmarried
0.10687023
Attribute race
White Asian-Pac-Islander Amer-Indian-Eskimo Other
0.81632653 0.0255102 0.0127551 0.0127551
Black
0.13265306
Attribute sex
Female Male
0.37017995 0.62982005
Attribute capital-gain
Mean: 195.86563307 Standard Deviation: 1824.06242721
Attribute capital-loss
Mean: 80.18863049 Standard Deviation: 379.88104639
Attribute hours-per-week
Mean: 38.18863049 Standard Deviation: 11.67713655
Attribute native-country
United-States Cambodia England Puerto-Rico Canada
0.82227488 0.00236967 0.007109 0.00947867 0.00473934
Germany Outlying-US(Guam-USVI-etc) India Japan
0.007109 0.00236967 0.00236967 0.00236967
Greece South China Cuba Iran
0.00236967 0.00236967 0.00236967 0.007109 0.00473934
Honduras Philippines Italy Poland Jamaica
0.00236967 0.007109 0.00473934 0.00473934 0.00473934
Vietnam Mexico Portugal Ireland France
0.00236967 0.02843602 0.007109 0.00236967 0.00236967
Dominican-Republic Laos Ecuador Taiwan
0.00473934 0.00473934 0.00473934 0.00236967
Haiti Columbia Hungary Guatemala Nicaragua
0.00473934 0.00473934 0.00236967 0.00236967 0.00236967
Scotland Thailand Yugoslavia El-Salvador Trinadad&Tobago
0.00236967 0.00236967 0.00236967 0.00473934 0.00236967
Peru Hong Holand-Netherlands
0.00236967 0.00236967 0.00236967
=== Error on training data ===
Correctly Classified Instances 427 85.4 %
Incorrectly Classified Instances 73 14.6 %
Mean absolute error 0.1624
Root mean squared error 0.3317
Relative absolute error 46.3339 %
Root relative squared error 79.3178 %
Total Number of Instances 500
=== Confusion Matrix ===
a b <-- classified as
79 34 | a = >50K
39 348 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 415 82.8343 %
Incorrectly Classified Instances 86 17.1657 %
Mean absolute error 0.1761
Root mean squared error 0.3559
Relative absolute error 49.8267 %
Root relative squared error 84.3573 %
Total Number of Instances 501
=== Confusion Matrix ===
a b <-- classified as
66 50 | a = >50K
36 349 | b = <=50K
|