Datasets:
mgchavez
/
insurance-charge-mlops-logs

Dataset card Data Studio 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
42
37.18
2
male
no
southeast
11,616
64
22.99
0
female
yes
southeast
35,008
33
35.75
1
male
yes
southeast
31,744
54
32.68
0
female
no
northeast
12,960
47
19.57
1
male
no
northwest
6,848
43
27.8
0
male
yes
southwest
31,008
43
35.64
1
female
no
southeast
10,976
29
35.5
2
male
yes
southwest
30,880
21
34.87
0
female
no
southeast
4,640
24
35.86
0
male
no
southeast
5,664
56
34.43
0
male
no
southeast
13,408
48
33.33
0
female
no
southeast
11,040
28
25.8
0
female
no
southwest
3,168
28
31.68
0
male
yes
southeast
28,640
49
42.68
2
female
no
southeast
15,328
32
29.8
2
female
no
southwest
6,432
26
46.53
1
male
no
southeast
10,208
57
23.98
1
female
no
southeast
10,624
22
39.805
0
female
no
northeast
7,168
55
27.645
0
male
no
northwest
11,168
47
29.37
1
female
no
southeast
9,888
26
27.06
0
male
yes
southeast
26,592
40
29.3
4
female
no
southwest
9,184
59
27.5
1
male
no
southwest
12,096
56
36.1
3
male
no
southwest
15,072
30
24.4
3
male
yes
southwest
27,840
41
40.26
0
male
no
southeast
11,520
59
37.1
1
male
no
southwest
15,296
22
27.1
0
female
no
southwest
2,080
52
24.13
1
female
yes
northwest
33,088
34
31.92
1
female
yes
northeast
31,392
41
34.2
2
male
no
northwest
10,656
24
33.345
0
female
no
northwest
5,216
35
23.465
2
female
no
northeast
5,856
61
36.1
3
male
no
southwest
16,352
40
24.97
2
male
no
southeast
6,976
49
29.83
1
male
no
northeast
11,104
18
29.37
1
male
no
southeast
2,400
30
28.405
1
female
no
northwest
5,536
22
39.5
0
male
no
southwest
6,176
43
26.885
0
female
yes
northwest
31,264
20
26.84
1
female
yes
southeast
25,472
19
27.7
0
male
yes
southwest
24,800
26
30.875
2
male
no
northwest
5,696
61
21.09
0
female
no
northwest
10,560
51
18.05
0
female
no
northwest
6,976
26
22.23
0
female
no
northwest
1,984
28
27.5
2
female
no
southwest
4,640
62
26.695
0
male
yes
northeast
36,288
23
27.36
1
male
no
northwest
3,328
30
23.655
3
female
yes
northwest
28,160
51
33.915
0
female
no
northeast
12,608
45
38.285
0
female
no
northeast
12,544
33
27.455
2
male
no
northwest
6,336
20
29.6
0
female
no
southwest
2,400
49
30.78
1
female
no
northeast
11,488
18
26.125
0
male
no
northeast
1,472
20
33.33
0
male
no
southeast
3,808
31
25.935
1
male
no
northwest
4,896
46
25.745
3
male
no
northwest
9,536
29
22.515
3
male
no
northeast
4,384
57
22.23
0
female
no
northeast
10,208
46
28.05
1
female
no
southeast
9,184
34
34.675
0
male
no
northeast
8,448
19
22.515
0
female
no
northwest
288
42
40.37
2
female
yes
southeast
36,096
43
30.685
2
female
no
northwest
10,048
40
35.3
3
male
no
southwest
10,720
43
29.9
1
female
no
southwest
8,832
64
37.905
0
male
no
northwest
16,928
21
35.72
0
female
no
northwest
5,248
43
32.6
2
male
no
southwest
10,144
28
17.29
0
female
no
northeast
1,120
59
25.46
0
male
no
northwest
11,456
60
28.595
0
male
no
northeast
13,056
22
52.58
1
male
yes
southeast
34,592
35
34.32
3
male
no
southeast
9,280
49
41.47
4
female
no
southeast
15,776
48
40.15
0
male
no
southeast
13,280
22
32.11
0
male
no
northwest
4,224
22
23.18
0
female
no
northeast
1,568
26
33.915
1
male
no
northwest
6,272
45
25.175
2
female
no
northeast
9,024
31
36.3
2
male
yes
southwest
31,648
26
30
1
male
no
southwest
4,448
49
25.6
2
male
yes
southwest
32,672
28
23.845
2
female
no
northwest
3,904
20
33
1
male
no
southwest
3,936
19
28.9
0
female
no
southwest
1,920
37
46.53
3
male
no
southeast
13,920
62
32.11
0
male
no
northeast
14,752
47
36.63
1
female
yes
southeast
35,680
19
30.59
0
male
no
northwest
2,944
52
24.13
1
female
yes
northwest
33,088
52
27.36
0
male
yes
northwest
33,664
30
28.405
1
female
no
northwest
5,536
61
23.655
0
male
no
northeast
11,648
40
35.3
3
male
no
southwest
10,720
49
25.6
2
male
yes
southwest
32,672
56
34.43
0
male
no
southeast
13,408