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
26
46.53
1
male
no
southeast
10,208
34
34.675
0
male
no
northeast
8,448
49
22.515
0
male
no
northeast
8,192
63
27.74
0
female
yes
northeast
36,960
41
40.26
0
male
no
southeast
11,520
18
21.47
0
male
no
northeast
-96
44
31.35
1
male
yes
northeast
33,696
50
28.12
3
female
no
northwest
11,424
22
23.18
0
female
no
northeast
1,568
26
30
1
male
no
southwest
4,448
31
36.3
2
male
yes
southwest
31,648
45
39.805
0
male
no
northeast
12,992
51
30.03
1
male
no
southeast
11,072
34
33.25
1
female
no
northeast
8,480
23
37.1
3
male
no
southwest
6,944
23
41.91
0
male
no
southeast
7,456
63
37.7
0
female
yes
southwest
39,520
57
31.16
0
female
yes
northwest
36,288
47
36.63
1
female
yes
southeast
35,680
46
25.745
3
male
no
northwest
9,536
64
22.99
0
female
yes
southeast
35,008
49
28.69
3
male
no
northwest
11,296
46
42.35
3
male
yes
southeast
38,176
19
25.745
1
female
no
northwest
1,824
40
29.3
4
female
no
southwest
9,184
22
27.1
0
female
no
southwest
2,080
23
32.7
3
male
no
southwest
5,472
19
30.4
0
male
no
southwest
2,368
47
45.32
1
female
no
southeast
15,264
30
44.22
2
male
no
southeast
10,880
35
35.86
2
female
no
southeast
9,440
18
41.14
0
male
no
southeast
5,920
43
35.64
1
female
no
southeast
10,976
31
27.645
2
male
no
northeast
6,176
28
17.29
0
female
no
northeast
1,120
34
42.9
1
male
no
southwest
10,848
19
28.6
5
female
no
southwest
4,000
53
36.6
3
male
no
southwest
14,464
41
30.59
2
male
no
northwest
9,440
47
19.57
1
male
no
northwest
6,848
56
36.1
3
male
no
southwest
15,072
36
26.885
0
female
no
northwest
6,112
23
36.67
2
female
yes
northeast
30,592
36
35.2
1
male
yes
southeast
32,320
40
32.775
1
male
yes
northeast
33,152
58
27.17
0
female
no
northwest
11,840
30
23.655
3
female
yes
northwest
28,160
23
27.36
1
male
no
northwest
3,328
26
30.875
2
male
no
northwest
5,696
60
40.92
0
male
yes
southeast
39,968
20
33.33
0
male
no
southeast
3,808
39
42.655
0
male
no
northeast
12,416
64
26.885
0
female
yes
northwest
36,640
37
30.8
2
female
no
southeast
8,256
31
30.495
3
female
no
northeast
7,648
50
32.11
2
male
no
northeast
12,576
39
32.8
0
female
no
southwest
8,352
57
23.98
1
female
no
southeast
10,624
64
40.48
0
male
no
southeast
17,472
19
24.51
1
female
no
northwest
1,408
59
37.1
1
male
no
southwest
15,296
43
26.885
0
female
yes
northwest
31,264
19
27.7
0
male
yes
southwest
24,800
48
40.15
0
male
no
southeast
13,280
49
36.85
0
male
no
southeast
12,416
26
29.92
1
female
no
southeast
4,672
42
37.18
2
male
no
southeast
11,616
51
34.1
0
female
no
southeast
12,064
21
35.72
0
female
no
northwest
5,248
44
38.95
0
female
yes
northwest
35,584
37
46.53
3
male
no
southeast
13,920
28
27.5
2
female
no
southwest
4,640
35
34.21
1
female
no
southeast
8,448
25
25.74
0
male
no
southeast
2,528
54
28.88
2
female
no
northeast
12,576
33
27.455
2
male
no
northwest
6,336
49
30.78
1
female
no
northeast
11,488
64
25.6
2
male
no
southwest
13,152
49
42.68
2
female
no
southeast
15,328
20
29.6
0
female
no
southwest
2,400
21
16.815
1
female
no
northeast
-384
58
32.395
1
female
no
northeast
14,336
31
34.39
3
male
yes
northwest
31,968
56
35.8
1
female
no
southwest
14,176
19
33.11
0
female
yes
southeast
26,880
53
33.25
0
female
no
northeast
12,896
62
26.695
0
male
yes
northeast
36,288
38
37.05
1
male
no
northeast
10,720
58
33.1
0
female
no
southwest
13,344
40
28.69
3
female
no
northwest
9,056
32
29.8
2
female
no
southwest
6,432
28
23.845
2
female
no
northwest
3,904
21
36.85
0
male
no
southeast
5,248
62
38.095
2
female
no
northeast
17,728
42
30
0
male
yes
southwest
31,488
40
41.42
1
female
no
northwest
12,448
46
32.3
2
female
no
northeast
11,648
28
27.5
2
female
no
southwest
4,640
35
35.86
2
female
no
southeast
9,440