Datasets:
mgchavez
/
insurance-charge-mlops-logs

Dataset card Viewer Files Community
1
age
int64
0
64
bmi
float64
0
52.6
children
int64
0
5
sex
stringclasses
3 values
smoker
stringclasses
3 values
region
stringclasses
4 values
prediction
float64
-12,607.68
40.9k
61
23.655
0
male
no
northeast
11,648
41
30.59
2
male
no
northwest
9,440
34
42.9
1
male
no
southwest
10,848
19
31.92
0
male
yes
northwest
26,752
35
35.86
2
female
no
southeast
9,440
53
36.86
3
female
yes
northwest
38,496
21
16.815
1
female
no
northeast
-384
22
52.58
1
male
yes
southeast
34,592
19
33.1
0
male
no
southwest
3,264
34
33.25
1
female
no
northeast
8,480
48
33.33
0
female
no
southeast
11,040
33
35.75
2
male
no
southeast
8,832
59
27.5
1
male
no
southwest
12,096
51
33.915
0
female
no
northeast
12,608
60
28.595
0
male
no
northeast
13,056
35
34.32
3
male
no
southeast
9,280
28
23.845
2
female
no
northwest
3,904
39
32.8
0
female
no
southwest
8,352
19
33.11
0
female
yes
southeast
26,880
42
30
0
male
yes
southwest
31,488
36
35.2
1
male
yes
southeast
32,320
53
36.6
3
male
no
southwest
14,464
61
36.1
3
male
no
southwest
16,352
53
33.25
0
female
no
northeast
12,896
21
26.4
1
female
no
southwest
2,016
32
28.93
0
female
no
southeast
5,440
28
27.5
2
female
no
southwest
4,640
50
31.825
0
male
yes
northeast
34,944
46
28.05
1
female
no
southeast
9,184
18
35.2
1
male
no
southeast
4,352
37
30.78
0
female
yes
northeast
31,328
19
31.825
1
female
no
northwest
3,840
40
32.775
1
male
yes
northeast
33,152
43
26.7
2
female
yes
southwest
31,584
46
25.745
3
male
no
northwest
9,536
51
36.385
3
female
no
northwest
14,464
50
28.12
3
female
no
northwest
11,424
62
38.83
0
male
no
southeast
16,416
38
37.05
1
male
no
northeast
10,720
58
27.17
0
female
no
northwest
11,840
28
33
2
female
no
southeast
6,688
30
31.57
3
male
no
southeast
7,072
50
26.41
0
male
no
northwest
9,472
23
41.91
0
male
no
southeast
7,456
47
45.32
1
female
no
southeast
15,264
22
39.5
0
male
no
southwest
6,176
60
18.335
0
female
no
northeast
9,664
41
40.26
0
male
no
southeast
11,520
47
38.94
2
male
yes
southeast
36,832
18
21.47
0
male
no
northeast
-96
60
35.1
0
female
no
southwest
14,528
41
32.2
2
male
no
southwest
9,472
29
24.6
2
female
no
southwest
3,904
42
40.37
2
female
yes
southeast
36,096
51
34.1
0
female
no
southeast
12,064
18
30.14
0
male
no
southeast
2,208
39
32.5
1
female
no
southwest
8,704
36
26.885
0
female
no
northwest
6,112
54
47.41
0
female
yes
southeast
40,672
43
29.9
1
female
no
southwest
8,832
41
33.06
2
female
no
northwest
10,336
19
17.48
0
male
no
northwest
-1,472
44
38.06
1
male
no
southeast
11,968
19
25.745
1
female
no
northwest
1,824
26
29.92
1
female
no
southeast
4,672
60
24.53
0
female
no
southeast
11,168
61
21.09
0
female
no
northwest
10,560
44
31.35
1
male
yes
northeast
33,696
56
35.8
1
female
no
southwest
14,176
48
40.15
0
male
no
southeast
13,280
53
20.9
0
male
yes
southeast
31,424
23
24.51
0
male
no
northeast
2,208
26
33.915
1
male
no
northwest
6,272
47
25.41
1
male
yes
southeast
31,840
50
25.6
0
female
no
southwest
8,768
49
22.515
0
male
no
northeast
8,192
62
32.11
0
male
no
northeast
14,752
31
27.645
2
male
no
northeast
6,176
25
32.23
1
female
no
southeast
5,216
25
22.515
1
female
no
northwest
2,272
31
25.935
1
male
no
northwest
4,896
30
24.4
3
male
yes
southwest
27,840
26
31.065
0
male
no
northwest
4,896
20
30
0
male
no
southwest
2,496
20
30.1
0
male
no
southwest
2,528
20
30.1
0
male
yes
southwest
25,888
35
28
1
female
yes
northwest
30,016
35
28
2
female
yes
northwest
30,464
35
28
3
female
yes
northwest
30,912
35
28
4
female
yes
northwest
31,360
35
28
4
female
no
northwest
8,000
35
28
4
male
no
northwest
7,936
20
30
0
male
no
southwest
2,496
32
28.93
0
female
no
southeast
5,440
21
26.4
1
female
no
southwest
2,016
19
31.92
0
male
yes
northwest
26,752
44
38.06
1
male
no
southeast
11,968
18
29.165
0
female
no
northeast
2,560
33
35.245
0
male
no
northeast
8,384
22
33.77
0
male
no
southeast
4,448