Datasets:
mijgis
/
insurance-charge-mlops-logs

Dataset card Data Studio Files Community
1
age
int64
18
65
bmi
float64
17.3
47.7
children
int64
0
7
sex
stringclasses
2 values
smoker
stringclasses
2 values
region
stringclasses
4 values
prediction
float64
-1,406.36
39.8k
23
32.78
2
female
yes
southeast
28,330.356583
18
22.99
0
male
no
northeast
262.460755
33
42.46
1
male
no
southeast
10,016.587581
35
34.77
2
male
no
northwest
9,455.744468
37
29.64
0
male
no
northwest
7,216.676098
25
33.66
4
male
no
southeast
6,413.544069
52
23.18
0
female
no
northeast
9,217.79881
63
32.2
2
female
yes
southwest
38,695.828843
59
36.52
1
female
no
southeast
14,807.574255
43
30.685
2
female
no
northwest
10,262.888747
61
25.08
0
female
no
southeast
10,890.017245
63
36.85
0
female
no
southeast
15,454.904088
50
44.77
1
male
no
southeast
15,177.247109
62
30.875
3
male
yes
northwest
39,103.374558
57
40.28
0
male
no
northeast
16,228.841636
53
26.41
2
male
no
northeast
11,414.420793
43
35.97
3
male
yes
southeast
34,898.904809
63
36.765
0
male
no
northeast
16,559.741863
63
25.08
0
female
no
northwest
12,482.665715
57
20.1
1
female
no
southwest
8,935.372475
52
33.25
0
male
no
northeast
12,525.096182
53
28.88
0
male
no
northwest
11,063.829365
21
22.3
1
male
no
southwest
289.090805
24
23.21
0
female
no
southeast
744.871568
43
38.06
2
male
yes
southeast
35,124.848222
35
43.34
2
female
no
southeast
11,485.374027
25
30.2
0
female
yes
southwest
27,262.249494
62
29.92
0
female
no
southeast
12,812.76641
37
17.29
2
female
no
northeast
4,325.36911
62
24.7
2
male
no
southwest
12,137.297521
62
24.7
3
male
no
southwest
12,630.742621
62
24.7
2
male
yes
southwest
35,698.647015
65
26
3
female
no
southwest
14,007.446899
65
26
3
female
yes
southwest
37,568.796392
25
26
3
female
no
southwest
3,735.574174