source: orange/Orange/testing/regression/results_ofb/data_characteristics3.py.txt @ 9844:60237ba710e3

Revision 9844:60237ba710e3, 4.3 KB checked in by Miha Stajdohar <miha.stajdohar@…>, 2 years ago (diff)

Again.

Line 
1Continuous attributes:
2  age, mean=38.91
3  fnlwgt, mean=187280.26
4  education-num, mean=9.98
5  capital-gain, mean=1041.83
6  capital-loss, mean=96.18
7  hours-per-week, mean=39.91
8
9Nominal attributes (contingency matrix for classes: <>50K, <=50K> )
10  workclass:
11    Private, total 685, <147.000, 538.000>
12    Self-emp-not-inc, total 72, <23.000, 49.000>
13    Self-emp-inc, total 28, <11.000, 17.000>
14    Federal-gov, total 29, <15.000, 14.000>
15    Local-gov, total 59, <18.000, 41.000>
16    State-gov, total 43, <15.000, 28.000>
17    Without-pay, total 2, <0.000, 2.000>
18    Never-worked, total 0, <0.000, 0.000>
19
20  education:
21    Bachelors, total 152, <69.000, 83.000>
22    Some-college, total 193, <33.000, 160.000>
23    11th, total 34, <2.000, 32.000>
24    HS-grad, total 327, <61.000, 266.000>
25    Prof-school, total 9, <7.000, 2.000>
26    Assoc-acdm, total 39, <13.000, 26.000>
27    Assoc-voc, total 41, <5.000, 36.000>
28    9th, total 18, <1.000, 17.000>
29    7th-8th, total 30, <2.000, 28.000>
30    12th, total 22, <0.000, 22.000>
31    Masters, total 57, <33.000, 24.000>
32    1st-4th, total 8, <1.000, 7.000>
33    10th, total 24, <1.000, 23.000>
34    Doctorate, total 15, <7.000, 8.000>
35    5th-6th, total 8, <1.000, 7.000>
36    Preschool, total 0, <0.000, 0.000>
37
38  marital-status:
39    Married-civ-spouse, total 452, <201.000, 251.000>
40    Divorced, total 132, <11.000, 121.000>
41    Never-married, total 297, <16.000, 281.000>
42    Separated, total 41, <3.000, 38.000>
43    Widowed, total 37, <4.000, 33.000>
44    Married-spouse-absent, total 17, <1.000, 16.000>
45    Married-AF-spouse, total 1, <0.000, 1.000>
46
47  occupation:
48    Tech-support, total 33, <13.000, 20.000>
49    Craft-repair, total 117, <30.000, 87.000>
50    Other-service, total 103, <1.000, 102.000>
51    Sales, total 92, <31.000, 61.000>
52    Exec-managerial, total 125, <53.000, 72.000>
53    Prof-specialty, total 110, <44.000, 66.000>
54    Handlers-cleaners, total 40, <3.000, 37.000>
55    Machine-op-inspct, total 62, <7.000, 55.000>
56    Adm-clerical, total 115, <20.000, 95.000>
57    Farming-fishing, total 29, <5.000, 24.000>
58    Transport-moving, total 61, <16.000, 45.000>
59    Priv-house-serv, total 10, <0.000, 10.000>
60    Protective-serv, total 20, <6.000, 14.000>
61    Armed-Forces, total 1, <0.000, 1.000>
62
63  relationship:
64    Wife, total 63, <33.000, 30.000>
65    Own-child, total 146, <3.000, 143.000>
66    Husband, total 384, <166.000, 218.000>
67    Not-in-family, total 249, <25.000, 224.000>
68    Other-relative, total 27, <2.000, 25.000>
69    Unmarried, total 108, <7.000, 101.000>
70
71  race:
72    White, total 825, <214.000, 611.000>
73    Asian-Pac-Islander, total 32, <8.000, 24.000>
74    Amer-Indian-Eskimo, total 8, <0.000, 8.000>
75    Other, total 12, <1.000, 11.000>
76    Black, total 100, <13.000, 87.000>
77
78  sex:
79    Female, total 353, <51.000, 302.000>
80    Male, total 624, <185.000, 439.000>
81
82  native-country:
83    United-States, total 864, <215.000, 649.000>
84    Cuba, total 1, <0.000, 1.000>
85    Jamaica, total 2, <1.000, 1.000>
86    India, total 3, <1.000, 2.000>
87    Mexico, total 25, <2.000, 23.000>
88    South, total 1, <0.000, 1.000>
89    Puerto-Rico, total 1, <0.000, 1.000>
90    Honduras, total 0, <0.000, 0.000>
91    England, total 4, <0.000, 4.000>
92    Canada, total 5, <1.000, 4.000>
93    Germany, total 7, <2.000, 5.000>
94    Iran, total 1, <0.000, 1.000>
95    Philippines, total 4, <1.000, 3.000>
96    Italy, total 3, <1.000, 2.000>
97    Poland, total 2, <0.000, 2.000>
98    Columbia, total 2, <1.000, 1.000>
99    Cambodia, total 1, <0.000, 1.000>
100    Thailand, total 0, <0.000, 0.000>
101    Ecuador, total 0, <0.000, 0.000>
102    Laos, total 1, <0.000, 1.000>
103    Taiwan, total 4, <1.000, 3.000>
104    Haiti, total 2, <1.000, 1.000>
105    Portugal, total 0, <0.000, 0.000>
106    Dominican-Republic, total 1, <0.000, 1.000>
107    El-Salvador, total 3, <0.000, 3.000>
108    France, total 0, <0.000, 0.000>
109    Guatemala, total 1, <0.000, 1.000>
110    China, total 3, <1.000, 2.000>
111    Japan, total 1, <1.000, 0.000>
112    Yugoslavia, total 0, <0.000, 0.000>
113    Peru, total 1, <0.000, 1.000>
114    Outlying-US(Guam-USVI-etc), total 1, <0.000, 1.000>
115    Scotland, total 1, <0.000, 1.000>
116    Trinadad&Tobago, total 0, <0.000, 0.000>
117    Greece, total 1, <0.000, 1.000>
118    Nicaragua, total 2, <0.000, 2.000>
119    Vietnam, total 3, <0.000, 3.000>
120    Hong, total 0, <0.000, 0.000>
121    Ireland, total 3, <1.000, 2.000>
122    Hungary, total 0, <0.000, 0.000>
123    Holand-Netherlands, total 0, <0.000, 0.000>
124
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