Dataset Viewer
age
int64 18
64
| bmi
int64 0
35
| children
float64 0
47.5
| sex
stringclasses 2
values | smoker
stringclasses 2
values | region
stringclasses 4
values | prediction
float64 864
45.8k
|
---|---|---|---|---|---|---|
18 | 24 | 0 |
female
|
no
|
northeast
| 864 |
31 | 26 | 2 |
female
|
yes
|
southwest
| 28,448 |
63 | 35 | 1 |
male
|
yes
|
northwest
| 40,160 |
45 | 27 | 2 |
male
|
yes
|
southeast
| 32,256 |
45 | 27 | 2 |
male
|
yes
|
southeast
| 32,256 |
26 | 3 | 27.265 |
male
|
no
|
northeast
| 8,864 |
42 | 1 | 26.07 |
male
|
yes
|
southeast
| 34,048 |
58 | 0 | 29 |
female
|
no
|
southwest
| 16,096 |
55 | 0 | 37.1 |
female
|
no
|
southwest
| 19,168 |
51 | 1 | 35.97 |
male
|
no
|
southeast
| 17,632 |
58 | 2 | 31.825 |
female
|
no
|
northeast
| 19,200 |
58 | 0 | 30.305 |
male
|
no
|
northeast
| 17,824 |
54 | 1 | 32.3 |
female
|
no
|
northeast
| 18,016 |
51 | 0 | 22.42 |
male
|
no
|
northeast
| 12,160 |
62 | 0 | 38.83 |
male
|
no
|
southeast
| 21,600 |
26 | 0 | 29.45 |
male
|
no
|
northeast
| 8,864 |
57 | 1 | 27.94 |
male
|
no
|
southeast
| 15,392 |
18 | 2 | 17.29 |
male
|
yes
|
northeast
| 25,152 |
59 | 1 | 41.14 |
male
|
yes
|
southeast
| 45,824 |
22 | 0 | 30.4 |
female
|
no
|
northeast
| 8,224 |
55 | 1 | 35.245 |
male
|
no
|
northeast
| 19,744 |
42 | 1 | 29 |
female
|
no
|
southwest
| 12,160 |
38 | 2 | 27.835 |
male
|
no
|
northwest
| 11,424 |
49 | 3 | 36.63 |
female
|
no
|
southeast
| 18,080 |
49 | 0 | 30.3 |
male
|
no
|
southwest
| 14,336 |
47 | 1 | 47.52 |
male
|
no
|
southeast
| 22,112 |
31 | 5 | 28.5 |
male
|
no
|
northeast
| 11,488 |
18 | 0 | 26.315 |
female
|
no
|
northeast
| 5,216 |
42 | 2 | 24.605 |
male
|
yes
|
northeast
| 35,072 |
64 | 0 | 26.41 |
male
|
no
|
northeast
| 17,568 |
19 | 0 | 30.25 |
male
|
yes
|
southeast
| 29,568 |
39 | 1 | 21.85 |
male
|
no
|
northwest
| 8,480 |
56 | 0 | 33.63 |
male
|
yes
|
northwest
| 41,856 |
45 | 1 | 30.2 |
male
|
no
|
southwest
| 13,568 |
53 | 0 | 41.47 |
male
|
no
|
southeast
| 20,480 |
61 | 0 | 38.38 |
male
|
no
|
northwest
| 21,920 |
32 | 0 | 28.88 |
male
|
no
|
northwest
| 9,632 |
42 | 2 | 29.48 |
female
|
no
|
southeast
| 12,448 |
26 | 3 | 27.265 |
male
|
no
|
northeast
| 8,864 |
42 | 1 | 26.07 |
male
|
yes
|
southeast
| 34,048 |
58 | 0 | 29 |
female
|
no
|
southwest
| 16,096 |
55 | 0 | 37.1 |
female
|
no
|
southwest
| 19,168 |
51 | 1 | 35.97 |
male
|
no
|
southeast
| 17,632 |
58 | 2 | 31.825 |
female
|
no
|
northeast
| 19,200 |
58 | 0 | 30.305 |
male
|
no
|
northeast
| 17,824 |
54 | 1 | 32.3 |
female
|
no
|
northeast
| 18,016 |
51 | 0 | 22.42 |
male
|
no
|
northeast
| 12,160 |
62 | 0 | 38.83 |
male
|
no
|
southeast
| 21,600 |
26 | 0 | 29.45 |
male
|
no
|
northeast
| 8,864 |
57 | 1 | 27.94 |
male
|
no
|
southeast
| 15,392 |
18 | 2 | 17.29 |
male
|
yes
|
northeast
| 25,152 |
59 | 1 | 41.14 |
male
|
yes
|
southeast
| 45,824 |
22 | 0 | 30.4 |
female
|
no
|
northeast
| 8,224 |
55 | 1 | 35.245 |
male
|
no
|
northeast
| 19,744 |
42 | 1 | 29 |
female
|
no
|
southwest
| 12,160 |
38 | 2 | 27.835 |
male
|
no
|
northwest
| 11,424 |
49 | 3 | 36.63 |
female
|
no
|
southeast
| 18,080 |
49 | 0 | 30.3 |
male
|
no
|
southwest
| 14,336 |
47 | 1 | 47.52 |
male
|
no
|
southeast
| 22,112 |
31 | 5 | 28.5 |
male
|
no
|
northeast
| 11,488 |
18 | 0 | 26.315 |
female
|
no
|
northeast
| 5,216 |
42 | 2 | 24.605 |
male
|
yes
|
northeast
| 35,072 |
64 | 0 | 26.41 |
male
|
no
|
northeast
| 17,568 |
19 | 0 | 30.25 |
male
|
yes
|
southeast
| 29,568 |
39 | 1 | 21.85 |
male
|
no
|
northwest
| 8,480 |
56 | 0 | 33.63 |
male
|
yes
|
northwest
| 41,856 |
45 | 1 | 30.2 |
male
|
no
|
southwest
| 13,568 |
53 | 0 | 41.47 |
male
|
no
|
southeast
| 20,480 |
61 | 0 | 38.38 |
male
|
no
|
northwest
| 21,920 |
32 | 0 | 28.88 |
male
|
no
|
northwest
| 9,632 |
42 | 2 | 29.48 |
female
|
no
|
southeast
| 12,448 |
30 | 1 | 28.38 |
female
|
yes
|
southeast
| 31,904 |
42 | 0 | 30 |
male
|
yes
|
southwest
| 35,872 |
54 | 0 | 31.24 |
female
|
no
|
southeast
| 15,808 |
26 | 0 | 20.8 |
male
|
no
|
southwest
| 3,648 |
18 | 0 | 37.29 |
male
|
no
|
southeast
| 9,120 |
21 | 1 | 26.4 |
female
|
no
|
southwest
| 5,312 |
34 | 0 | 35.815 |
male
|
no
|
northwest
| 13,504 |
63 | 0 | 36.765 |
male
|
no
|
northeast
| 22,272 |
50 | 1 | 37.07 |
male
|
no
|
southeast
| 17,920 |
30 | 2 | 22.99 |
male
|
yes
|
northwest
| 30,496 |
23 | 0 | 28.31 |
female
|
yes
|
northwest
| 30,464 |
25 | 2 | 45.54 |
male
|
yes
|
southeast
| 39,200 |
44 | 3 | 21.85 |
male
|
no
|
northeast
| 11,072 |
44 | 0 | 38.95 |
female
|
yes
|
northwest
| 41,184 |
51 | 1 | 23.21 |
male
|
yes
|
southeast
| 35,072 |
42 | 0 | 26.9 |
male
|
no
|
southwest
| 10,848 |
31 | 1 | 29.26 |
female
|
no
|
southeast
| 9,056 |
19 | 0 | 34.8 |
male
|
yes
|
southwest
| 32,032 |
36 | 4 | 29.04 |
female
|
no
|
southeast
| 11,328 |
32 | 3 | 30.8 |
male
|
no
|
southwest
| 11,072 |
45 | 0 | 39.805 |
male
|
no
|
northeast
| 18,912 |
44 | 0 | 38.06 |
female
|
yes
|
southeast
| 39,968 |
43 | 1 | 35.64 |
female
|
no
|
southeast
| 15,328 |
53 | 1 | 39.6 |
female
|
no
|
southeast
| 19,904 |
56 | 0 | 19.95 |
male
|
yes
|
northeast
| 35,872 |
44 | 1 | 25.8 |
female
|
no
|
southwest
| 11,168 |
51 | 1 | 34.2 |
female
|
no
|
southwest
| 17,056 |
36 | 3 | 28.88 |
male
|
no
|
northeast
| 12,320 |
33 | 0 | 30.25 |
male
|
no
|
southeast
| 9,760 |
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