Datasets:
nethke0009
/
insurance-charge-mlops-logs

Dataset card Viewer Files Community
1
age
int64
3
90
bmi
float64
3
90
children
int64
0
5
sex
stringclasses
2 values
smoker
stringclasses
2 values
region
stringclasses
4 values
prediction
float64
-1,545.57
41.3k
23
28.12
0
female
no
northwest
3,087.587418
26
30.875
2
male
no
northwest
5,619.170392
41
32.2
2
male
no
southwest
9,481.331583
35
34.21
1
female
no
southeast
8,362.281343
59
35.2
0
female
no
southeast
14,438.141126
30
24.4
3
male
yes
southwest
28,101.684553
32
28.93
0
female
no
southeast
5,386.226768
28
27.5
2
female
no
southwest
4,574.904104
20
29.6
0
female
no
southwest
2,376.43525
34
33.7
1
female
no
southwest
7,781.453378
23
24.51
0
male
no
northeast
2,222.76894
63
31.8
0
female
no
southwest
14,167.994215
41
34.2
2
male
no
northwest
10,594.638715
38
40.565
1
female
no
northwest
11,562.618598
59
37.1
1
male
no
southwest
15,333.369009
22
21.28
3
female
no
northwest
1,800.735008
31
29.1
0
female
no
southwest
5,034.621738
49
21.3
1
female
no
southwest
7,456.141321
59
27.83
3
female
no
southeast
13,229.605368
33
33
3
male
no
southeast
8,272.413819
33
33
4
male
no
southeast
8,697.692602
33
33
4
male
yes
southeast
32,348.821458
33
33.44
5
male
no
southeast
9,271.292109
58
25.175
0
male
no
northeast
11,441.085192
52
38.38
2
female
no
northeast
15,219.687364
33
34
1
male
yes
southeast
31,410.077659
33
34
1
male
no
southeast
7,758.948804
90
90
1
male
no
southeast
41,283.746945
33
33.44
5
male
no
southeast
9,271.292109
58
25.175
0
male
no
northeast
11,441.085192
52
38.38
2
female
no
northeast
15,219.687364
40
35
2
male
yes
southwest
33,819.343878