Datasets:
praneeth232
/
insurance-charge-mlops-logs

Dataset card Viewer Files Community
1
age
int64
3
82
bmi
float64
3
52.6
children
int64
0
10
sex
stringclasses
2 values
smoker
stringclasses
2 values
region
stringclasses
5 values
prediction
float64
-5,191.67
42.7k
22
31.35
1
male
no
northwest
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30.4
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male
no
southwest
2,370.541894
40
35.3
3
male
no
southwest
10,694.621571
30
28.405
1
female
no
northwest
5,407.76752
21
36.85
0
male
no
southeast
5,210.675323
35
30.5
1
male
no
southwest
6,941.141226
21
35.72
0
female
no
northwest
5,135.539402
60
28.595
0
male
no
northeast
13,107.893131
33
35.75
2
male
no
southeast
8,774.139553
25
23.9
5
male
no
southwest
3,847.688459
28
23.845
2
female
no
northwest
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53
22.88
1
female
yes
southeast
32,819.71429
41
33.06
2
female
no
northwest
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21.47
0
male
no
northeast
-86.870947
62
21.4
0
male
no
southwest
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19
31.92
0
male
yes
northwest
26,973.173457
56
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no
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no
northwest
3,408.20756
19
30.59
0
male
no
northwest
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42.68
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female
no
southeast
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no
northeast
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32.34
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male
no
southeast
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47
36.63
1
female
yes
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female
no
southwest
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25.175
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no
northeast
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no
northwest
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female
no
southwest
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male
no
northwest
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3
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no
southwest
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49
29.83
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male
no
northeast
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31
38.39
2
male
no
southeast
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42.655
0
male
no
northeast
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26
46.53
1
male
no
southeast
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35
35.86
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female
no
southeast
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32
28.93
0
female
no
southeast
5,386.226768
29
24.6
2
female
no
southwest
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28
31.68
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male
yes
southeast
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25
34.485
0
female
no
northwest
5,747.132923
20
33.33
0
male
no
southeast
3,767.133835
64
26.885
0
female
yes
northwest
36,858.410912
58
32.395
1
female
no
northeast
14,318.763892
51
36.385
3
female
no
northwest
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32
17.765
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female
yes
northwest
26,411.461818
19
28.9
0
female
no
southwest
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25
24.3
3
female
no
southwest
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3
3
3
female
yes
southeast
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3
3
4
female
yes
southeast
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40
32.47
4
male
yes
southeast
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32
23.78
5
female
no
northwest
6,063.781013