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Datasets:
Kavi2024
/
insurance-charge-mlops-logs

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age
int64
18
64
bmi
float64
2
59
children
int64
0
23
sex
stringclasses
2 values
smoker
stringclasses
3 values
region
stringclasses
4 values
prediction
float64
-1,545.57
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31.44
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35
35.86
2
female
no
southeast
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30
31.57
3
male
no
southeast
7,019.444352
31
36.3
2
male
yes
southwest
31,944.782843
31
38.39
2
male
no
southeast
9,150.112479
22
39.8
0
female
no
northeast
7,138.530046
19
31.92
0
male
yes
northwest
26,973.173457
34
33.25
1
female
no
northeast
8,439.561084
22
52.58
1
male
yes
southeast
34,846.524511
49
21.3
1
female
no
southwest
7,456.141321
57
23.98
1
female
no
southeast
10,567.290065
26
22.23
0
female
no
northwest
1,873.039405
43
35.97
3
male
yes
southeast
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25
25.74
0
male
no
southeast
2,493.479894
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35.42
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male
no
southeast
6,013.511503
60
24.53
0
female
no
southeast
11,098.339302
57
31.82
0
female
no
northwest
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59
37.1
1
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no
southwest
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30.78
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yes
northeast
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34.87
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no
southeast
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3
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no
southwest
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31.07
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no
northwest
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48.07
2
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no
northeast
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32.77
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no
northwest
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25.6
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male
yes
southwest
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no
northeast
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34
34.67
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no
northeast
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40
41.42
1
female
no
northwest
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40.92
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yes
southeast
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31.92
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yes
northeast
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49
36.85
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male
no
southeast
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50
32.11
2
male
no
northeast
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22
23.18
0
female
no
northeast
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63
37.7
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female
yes
southwest
39,807.969127
56
25.65
0
female
no
northwest
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35
34.32
3
male
no
southeast
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44
31.35
1
male
yes
northeast
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53
36.6
3
male
no
southwest
14,473.526065
18
21.47
0
male
no
northeast
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32
28.93
1
male
yes
southeast
29,444.042715
34
42.9
1
male
no
southwest
10,864.113164
23
32.7
3
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no
southwest
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57
22.23
0
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no
northeast
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54
32.68
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no
northeast
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47
45.32
1
female
no
southeast
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21
25.7
4
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yes
southwest
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21
36.85
0
male
no
southeast
5,210.675323
19
24.51
1
female
no
northwest
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32
31.5
1
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no
southwest
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33.25
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no
northeast
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23
27.36
1
male
no
northwest
3,238.084171
43
30.68
2
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no
northwest
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39
32.5
1
female
no
southwest
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49
41.47
4
female
no
southeast
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62
38.83
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male
no
southeast
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47
26.6
2
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no
northeast
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38.38
2
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no
northeast
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47
19.57
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no
northwest
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28
33
2
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no
southeast
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45
38.28
0
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no
northeast
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56
34.43
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male
no
southeast
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19
30.4
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male
no
southwest
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23.84
2
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no
northwest
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33
28.27
1
female
no
southeast
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35.64
1
female
no
southeast
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22
33.77
0
male
no
southeast
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30.88
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female
no
northeast
11,840.935657
45
25.18
2
female
no
northeast
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63
27.74
0
female
yes
northeast
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56
35.8
1
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no
southwest
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33
35.75
1
male
yes
southeast
31,999.989625
18
29.16
0
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no
northeast
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36
35.2
1
male
yes
southeast
32,585.515839
42
34.1
0
male
no
southwest
9,528.22557
30
24.4
3
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yes
southwest
28,101.684553
27
30.4
3
female
no
northwest
6,159.897611
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27.27
2
male
no
northwest
2,605.121801
42
24.98
2
female
no
northwest
7,762.212783
35
34.21
1
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no
southeast
8,362.281343
21
26.4
1
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no
southwest
1,979.993573
26
30.88
2
male
no
northwest
5,620.855855
49
29.83
1
male
no
northeast
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62
26.7
0
male
yes
northeast
36,634.183012
59
25.46
0
male
no
northwest
11,423.454948
49
42.68
2
female
no
southeast
15,240.393923
57
31.16
0
female
yes
northwest
36,500.65163
30
28.41
1
female
no
northwest
5,409.452983
61
23.66
0
male
no
northeast
11,701.317093
23
36.67
2
female
yes
northeast
30,842.092487
62
32.11
0
male
no
northeast
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50
31.82
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male
yes
northeast
35,276.388408
51
30.03
1
male
no
southeast
11,046.254077
48
33.33
0
female
no
southeast
10,981.045289
27
24.75
0
female
yes
southeast
26,343.430227
44
30.69
2
male
no
southeast
9,895.184004
23
37.1
3
male
no
southwest
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29.37
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female
no
southeast
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40.26
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male
no
southeast
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no
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southwest
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