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age (int64)workclass (string)fnlwgt (int64)education (string)education.num (int64)marital.status (string)occupation (string)relationship (string)race (string)sex (string)capital.gain (int64)capital.loss (int64)hours.per.week (int64)native.country (string)income (string)
90
"?"
77,053
"HS-grad"
9
"Widowed"
"?"
"Not-in-family"
"White"
"Female"
0
4,356
40
"United-States"
"<=50K"
82
"Private"
132,870
"HS-grad"
9
"Widowed"
"Exec-managerial"
"Not-in-family"
"White"
"Female"
0
4,356
18
"United-States"
"<=50K"
66
"?"
186,061
"Some-college"
10
"Widowed"
"?"
"Unmarried"
"Black"
"Female"
0
4,356
40
"United-States"
"<=50K"
54
"Private"
140,359
"7th-8th"
4
"Divorced"
"Machine-op-inspct"
"Unmarried"
"White"
"Female"
0
3,900
40
"United-States"
"<=50K"
41
"Private"
264,663
"Some-college"
10
"Separated"
"Prof-specialty"
"Own-child"
"White"
"Female"
0
3,900
40
"United-States"
"<=50K"
34
"Private"
216,864
"HS-grad"
9
"Divorced"
"Other-service"
"Unmarried"
"White"
"Female"
0
3,770
45
"United-States"
"<=50K"
38
"Private"
150,601
"10th"
6
"Separated"
"Adm-clerical"
"Unmarried"
"White"
"Male"
0
3,770
40
"United-States"
"<=50K"
74
"State-gov"
88,638
"Doctorate"
16
"Never-married"
"Prof-specialty"
"Other-relative"
"White"
"Female"
0
3,683
20
"United-States"
">50K"
68
"Federal-gov"
422,013
"HS-grad"
9
"Divorced"
"Prof-specialty"
"Not-in-family"
"White"
"Female"
0
3,683
40
"United-States"
"<=50K"
41
"Private"
70,037
"Some-college"
10
"Never-married"
"Craft-repair"
"Unmarried"
"White"
"Male"
0
3,004
60
"?"
">50K"
45
"Private"
172,274
"Doctorate"
16
"Divorced"
"Prof-specialty"
"Unmarried"
"Black"
"Female"
0
3,004
35
"United-States"
">50K"
38
"Self-emp-not-inc"
164,526
"Prof-school"
15
"Never-married"
"Prof-specialty"
"Not-in-family"
"White"
"Male"
0
2,824
45
"United-States"
">50K"
52
"Private"
129,177
"Bachelors"
13
"Widowed"
"Other-service"
"Not-in-family"
"White"
"Female"
0
2,824
20
"United-States"
">50K"
32
"Private"
136,204
"Masters"
14
"Separated"
"Exec-managerial"
"Not-in-family"
"White"
"Male"
0
2,824
55
"United-States"
">50K"
51
"?"
172,175
"Doctorate"
16
"Never-married"
"?"
"Not-in-family"
"White"
"Male"
0
2,824
40
"United-States"
">50K"
46
"Private"
45,363
"Prof-school"
15
"Divorced"
"Prof-specialty"
"Not-in-family"
"White"
"Male"
0
2,824
40
"United-States"
">50K"
45
"Private"
172,822
"11th"
7
"Divorced"
"Transport-moving"
"Not-in-family"
"White"
"Male"
0
2,824
76
"United-States"
">50K"
57
"Private"
317,847
"Masters"
14
"Divorced"
"Exec-managerial"
"Not-in-family"
"White"
"Male"
0
2,824
50
"United-States"
">50K"
22
"Private"
119,592
"Assoc-acdm"
12
"Never-married"
"Handlers-cleaners"
"Not-in-family"
"Black"
"Male"
0
2,824
40
"?"
">50K"
34
"Private"
203,034
"Bachelors"
13
"Separated"
"Sales"
"Not-in-family"
"White"
"Male"
0
2,824
50
"United-States"
">50K"
37
"Private"
188,774
"Bachelors"
13
"Never-married"
"Exec-managerial"
"Not-in-family"
"White"
"Male"
0
2,824
40
"United-States"
">50K"
29
"Private"
77,009
"11th"
7
"Separated"
"Sales"
"Not-in-family"
"White"
"Female"
0
2,754
42
"United-States"
"<=50K"
61
"Private"
29,059
"HS-grad"
9
"Divorced"
"Sales"
"Unmarried"
"White"
"Female"
0
2,754
25
"United-States"
"<=50K"
51
"Private"
153,870
"Some-college"
10
"Married-civ-spouse"
"Transport-moving"
"Husband"
"White"
"Male"
0
2,603
40
"United-States"
"<=50K"
61
"?"
135,285
"HS-grad"
9
"Married-civ-spouse"
"?"
"Husband"
"White"
"Male"
0
2,603
32
"United-States"
"<=50K"
21
"Private"
34,310
"Assoc-voc"
11
"Married-civ-spouse"
"Craft-repair"
"Husband"
"White"
"Male"
0
2,603
40
"United-States"
"<=50K"
33
"Private"
228,696
"1st-4th"
2
"Married-civ-spouse"
"Craft-repair"
"Not-in-family"
"White"
"Male"
0
2,603
32
"Mexico"
"<=50K"
49
"Private"
122,066
"5th-6th"
3
"Married-civ-spouse"
"Other-service"
"Husband"
"White"
"Male"
0
2,603
40
"Greece"
"<=50K"
37
"Self-emp-inc"
107,164
"10th"
6
"Never-married"
"Transport-moving"
"Not-in-family"
"White"
"Male"
0
2,559
50
"United-States"
">50K"
38
"Private"
175,360
"10th"
6
"Never-married"
"Prof-specialty"
"Not-in-family"
"White"
"Male"
0
2,559
90
"United-States"
">50K"
23
"Private"
44,064
"Some-college"
10
"Separated"
"Other-service"
"Not-in-family"
"White"
"Male"
0
2,559
40
"United-States"
">50K"
59
"Self-emp-inc"
107,287
"10th"
6
"Widowed"
"Exec-managerial"
"Unmarried"
"White"
"Female"
0
2,559
50
"United-States"
">50K"
52
"Private"
198,863
"Prof-school"
15
"Divorced"
"Exec-managerial"
"Not-in-family"
"White"
"Male"
0
2,559
60
"United-States"
">50K"
51
"Private"
123,011
"Bachelors"
13
"Divorced"
"Exec-managerial"
"Not-in-family"
"White"
"Male"
0
2,559
50
"United-States"
">50K"
60
"Self-emp-not-inc"
205,246
"HS-grad"
9
"Never-married"
"Exec-managerial"
"Not-in-family"
"Black"
"Male"
0
2,559
50
"United-States"
">50K"
63
"Federal-gov"
39,181
"Doctorate"
16
"Divorced"
"Exec-managerial"
"Not-in-family"
"White"
"Female"
0
2,559
60
"United-States"
">50K"
53
"Private"
149,650
"HS-grad"
9
"Never-married"
"Sales"
"Not-in-family"
"White"
"Male"
0
2,559
48
"United-States"
">50K"
51
"Private"
197,163
"Prof-school"
15
"Never-married"
"Prof-specialty"
"Not-in-family"
"White"
"Female"
0
2,559
50
"United-States"
">50K"
37
"Self-emp-not-inc"
137,527
"Doctorate"
16
"Never-married"
"Prof-specialty"
"Not-in-family"
"White"
"Female"
0
2,559
60
"United-States"
">50K"
54
"Private"
161,691
"Masters"
14
"Divorced"
"Prof-specialty"
"Not-in-family"
"White"
"Female"
0
2,559
40
"United-States"
">50K"
44
"Private"
326,232
"Bachelors"
13
"Divorced"
"Exec-managerial"
"Unmarried"
"White"
"Male"
0
2,547
50
"United-States"
">50K"
43
"Private"
115,806
"Masters"
14
"Divorced"
"Exec-managerial"
"Unmarried"
"White"
"Female"
0
2,547
40
"United-States"
">50K"
51
"Private"
115,066
"Some-college"
10
"Divorced"
"Adm-clerical"
"Unmarried"
"White"
"Female"
0
2,547
40
"United-States"
">50K"
43
"Private"
289,669
"Masters"
14
"Divorced"
"Prof-specialty"
"Unmarried"
"White"
"Female"
0
2,547
40
"United-States"
">50K"
71
"?"
100,820
"HS-grad"
9
"Married-civ-spouse"
"?"
"Husband"
"White"
"Male"
0
2,489
15
"United-States"
"<=50K"
48
"Private"
121,253
"Bachelors"
13
"Married-spouse-absent"
"Sales"
"Unmarried"
"White"
"Female"
0
2,472
70
"United-States"
">50K"
71
"Private"
110,380
"HS-grad"
9
"Married-civ-spouse"
"Sales"
"Husband"
"White"
"Male"
0
2,467
52
"United-States"
"<=50K"
73
"Self-emp-not-inc"
233,882
"HS-grad"
9
"Married-civ-spouse"
"Farming-fishing"
"Husband"
"Asian-Pac-Islander"
"Male"
0
2,457
40
"Vietnam"
"<=50K"
68
"?"
192,052
"Some-college"
10
"Married-civ-spouse"
"?"
"Wife"
"White"
"Female"
0
2,457
40
"United-States"
"<=50K"
67
"?"
174,995
"Some-college"
10
"Married-civ-spouse"
"?"
"Husband"
"White"
"Male"
0
2,457
40
"United-States"
"<=50K"
40
"Self-emp-not-inc"
335,549
"Prof-school"
15
"Never-married"
"Prof-specialty"
"Not-in-family"
"White"
"Male"
0
2,444
45
"United-States"
">50K"
50
"Private"
237,729
"HS-grad"
9
"Widowed"
"Sales"
"Not-in-family"
"White"
"Female"
0
2,444
72
"United-States"
">50K"
51
"State-gov"
68,898
"Assoc-voc"
11
"Divorced"
"Tech-support"
"Not-in-family"
"White"
"Male"
0
2,444
39
"United-States"
">50K"
42
"Private"
107,276
"Some-college"
10
"Never-married"
"Exec-managerial"
"Not-in-family"
"White"
"Female"
0
2,444
40
"United-States"
">50K"
39
"Private"
141,584
"Masters"
14
"Never-married"
"Sales"
"Not-in-family"
"White"
"Male"
0
2,444
45
"United-States"
">50K"
32
"Private"
207,668
"Bachelors"
13
"Never-married"
"Exec-managerial"
"Other-relative"
"White"
"Male"
0
2,444
50
"United-States"
">50K"
53
"Private"
313,243
"Some-college"
10
"Separated"
"Craft-repair"
"Not-in-family"
"White"
"Male"
0
2,444
45
"United-States"
">50K"
40
"Local-gov"
147,372
"Some-college"
10
"Never-married"
"Protective-serv"
"Not-in-family"
"White"
"Male"
0
2,444
40
"United-States"
">50K"
38
"Private"
237,608
"Bachelors"
13
"Never-married"
"Sales"
"Not-in-family"
"White"
"Female"
0
2,444
45
"United-States"
">50K"
33
"Private"
194,901
"Assoc-voc"
11
"Separated"
"Craft-repair"
"Not-in-family"
"White"
"Male"
0
2,444
42
"United-States"
">50K"
43
"Private"
155,106
"Assoc-acdm"
12
"Divorced"
"Craft-repair"
"Not-in-family"
"White"
"Male"
0
2,444
70
"United-States"
">50K"
50
"Self-emp-inc"
121,441
"11th"
7
"Never-married"
"Exec-managerial"
"Other-relative"
"White"
"Male"
0
2,444
40
"United-States"
">50K"
44
"Private"
162,028
"Some-college"
10
"Married-civ-spouse"
"Adm-clerical"
"Wife"
"White"
"Female"
0
2,415
6
"United-States"
">50K"
51
"Self-emp-not-inc"
160,724
"Bachelors"
13
"Married-civ-spouse"
"Sales"
"Husband"
"Asian-Pac-Islander"
"Male"
0
2,415
40
"China"
">50K"
41
"Private"
132,222
"Prof-school"
15
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"White"
"Male"
0
2,415
40
"United-States"
">50K"
60
"Self-emp-inc"
226,355
"Assoc-voc"
11
"Married-civ-spouse"
"Machine-op-inspct"
"Husband"
"White"
"Male"
0
2,415
70
"?"
">50K"
37
"Private"
329,980
"Masters"
14
"Married-civ-spouse"
"Exec-managerial"
"Husband"
"White"
"Male"
0
2,415
60
"United-States"
">50K"
55
"Self-emp-inc"
124,137
"Prof-school"
15
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"White"
"Male"
0
2,415
35
"Greece"
">50K"
39
"Self-emp-inc"
329,980
"Bachelors"
13
"Married-civ-spouse"
"Sales"
"Husband"
"White"
"Male"
0
2,415
60
"United-States"
">50K"
42
"Self-emp-inc"
187,702
"Prof-school"
15
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"White"
"Male"
0
2,415
60
"United-States"
">50K"
49
"Private"
199,029
"Bachelors"
13
"Married-civ-spouse"
"Sales"
"Husband"
"White"
"Male"
0
2,415
55
"United-States"
">50K"
47
"Self-emp-not-inc"
145,290
"HS-grad"
9
"Married-civ-spouse"
"Exec-managerial"
"Husband"
"White"
"Male"
0
2,415
50
"United-States"
">50K"
41
"Local-gov"
297,248
"Prof-school"
15
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"White"
"Male"
0
2,415
45
"United-States"
">50K"
55
"Self-emp-inc"
227,856
"Bachelors"
13
"Married-civ-spouse"
"Exec-managerial"
"Husband"
"White"
"Male"
0
2,415
50
"United-States"
">50K"
39
"Private"
179,731
"Masters"
14
"Married-civ-spouse"
"Exec-managerial"
"Wife"
"White"
"Female"
0
2,415
65
"United-States"
">50K"
42
"Private"
154,374
"Bachelors"
13
"Married-civ-spouse"
"Exec-managerial"
"Husband"
"White"
"Male"
0
2,415
60
"United-States"
">50K"
41
"?"
27,187
"Assoc-voc"
11
"Married-civ-spouse"
"?"
"Husband"
"White"
"Male"
0
2,415
12
"United-States"
">50K"
46
"Private"
326,857
"Masters"
14
"Married-civ-spouse"
"Sales"
"Husband"
"White"
"Male"
0
2,415
65
"United-States"
">50K"
40
"Private"
160,369
"Masters"
14
"Married-civ-spouse"
"Exec-managerial"
"Husband"
"White"
"Male"
0
2,415
45
"United-States"
">50K"
32
"Private"
396,745
"Bachelors"
13
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"White"
"Male"
0
2,415
48
"United-States"
">50K"
41
"Self-emp-inc"
151,089
"Some-college"
10
"Married-civ-spouse"
"Exec-managerial"
"Husband"
"White"
"Male"
0
2,415
55
"United-States"
">50K"
60
"Self-emp-inc"
336,188
"Prof-school"
15
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"White"
"Male"
0
2,415
80
"United-States"
">50K"
31
"Private"
279,015
"Masters"
14
"Married-civ-spouse"
"Exec-managerial"
"Husband"
"White"
"Male"
0
2,415
70
"Taiwan"
">50K"
58
"Self-emp-not-inc"
43,221
"Some-college"
10
"Married-civ-spouse"
"Farming-fishing"
"Husband"
"White"
"Male"
0
2,415
40
"United-States"
">50K"
37
"Self-emp-inc"
30,529
"Bachelors"
13
"Married-civ-spouse"
"Sales"
"Husband"
"White"
"Male"
0
2,415
50
"United-States"
">50K"
44
"Self-emp-not-inc"
201,742
"Bachelors"
13
"Married-civ-spouse"
"Exec-managerial"
"Husband"
"White"
"Male"
0
2,415
50
"United-States"
">50K"
39
"Self-emp-not-inc"
218,490
"Prof-school"
15
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"White"
"Male"
0
2,415
50
"?"
">50K"
43
"Federal-gov"
156,996
"Prof-school"
15
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"Asian-Pac-Islander"
"Male"
0
2,415
55
"?"
">50K"
55
"Self-emp-inc"
298,449
"Bachelors"
13
"Married-civ-spouse"
"Exec-managerial"
"Husband"
"White"
"Male"
0
2,415
50
"United-States"
">50K"
44
"Self-emp-inc"
191,712
"Masters"
14
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"White"
"Male"
0
2,415
55
"United-States"
">50K"
39
"Private"
198,654
"Prof-school"
15
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"Asian-Pac-Islander"
"Male"
0
2,415
67
"India"
">50K"
46
"Self-emp-not-inc"
102,308
"Bachelors"
13
"Married-civ-spouse"
"Sales"
"Husband"
"White"
"Male"
0
2,415
40
"United-States"
">50K"
39
"Private"
348,521
"Some-college"
10
"Married-civ-spouse"
"Farming-fishing"
"Husband"
"White"
"Male"
0
2,415
99
"United-States"
">50K"
62
"Self-emp-inc"
56,248
"Bachelors"
13
"Married-civ-spouse"
"Farming-fishing"
"Husband"
"White"
"Male"
0
2,415
60
"United-States"
">50K"
31
"Self-emp-not-inc"
252,752
"HS-grad"
9
"Married-civ-spouse"
"Other-service"
"Wife"
"White"
"Female"
0
2,415
40
"United-States"
">50K"
46
"Private"
192,963
"Bachelors"
13
"Married-civ-spouse"
"Adm-clerical"
"Husband"
"Asian-Pac-Islander"
"Male"
0
2,415
35
"Philippines"
">50K"
46
"Self-emp-not-inc"
198,759
"Prof-school"
15
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"White"
"Male"
0
2,415
80
"United-States"
">50K"
39
"Self-emp-inc"
143,123
"Assoc-voc"
11
"Married-civ-spouse"
"Craft-repair"
"Husband"
"White"
"Male"
0
2,415
40
"United-States"
">50K"
39
"Private"
237,713
"Prof-school"
15
"Married-civ-spouse"
"Sales"
"Husband"
"White"
"Male"
0
2,415
99
"United-States"
">50K"
59
"Private"
81,929
"Doctorate"
16
"Married-civ-spouse"
"Prof-specialty"
"Husband"
"White"
"Male"
0
2,415
45
"United-States"
">50K"
End of preview (truncated to 100 rows)

Adult Census Income Dataset

The following was retrieved from UCI machine learning repository.

This data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1) && (HRSWK>0)). The prediction task is to determine whether a person makes over $50K a year.

Description of fnlwgt (final weight)

The weights on the Current Population Survey (CPS) files are controlled to independent estimates of the civilian noninstitutional population of the US. These are prepared monthly for us by Population Division here at the Census Bureau. We use 3 sets of controls. These are:

  • A single cell estimate of the population 16+ for each state.
  • Controls for Hispanic Origin by age and sex.
  • Controls by Race, age and sex.

We use all three sets of controls in our weighting program and "rake" through them 6 times so that by the end we come back to all the controls we used. The term estimate refers to population totals derived from CPS by creating "weighted tallies" of any specified socio-economic characteristics of the population. People with similar demographic characteristics should have similar weights. There is one important caveat to remember about this statement. That is that since the CPS sample is actually a collection of 51 state samples, each with its own probability of selection, the statement only applies within state.

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