Datasets:
codesignal
/
imbalanced-data-practice

Dataset card Data Studio Files
xet
Community
1
id
int64
Gender
string
Age
int64
Driving_License
int64
Region_Code
float64
Previously_Insured
int64
Vehicle_Age
string
Vehicle_Damage
string
Annual_Premium
float64
Policy_Sales_Channel
float64
Vintage
int64
Response
int64
388,196
Female
30
1
28
0
1-2 Year
Yes
2,630
124
52
1
192,037
Female
79
1
28
0
1-2 Year
Yes
2,630
26
118
0
161,018
Female
48
1
38
1
1-2 Year
No
43,884
26
269
0
271,463
Female
48
1
28
0
1-2 Year
Yes
45,960
26
33
0
183,632
Male
44
1
41
0
> 2 Years
Yes
48,039
124
163
1
322,398
Male
44
1
28
0
1-2 Year
Yes
2,630
26
240
1
143,075
Female
46
1
8
0
1-2 Year
Yes
68,063
26
100
1
4,564
Female
24
1
13
0
< 1 Year
Yes
35,146
152
39
0
35,522
Male
54
1
47
0
1-2 Year
Yes
23,480
124
34
0
31,934
Female
54
1
28
0
1-2 Year
Yes
31,695
26
37
0
197,459
Male
34
1
36
0
1-2 Year
Yes
28,450
26
91
0
170,901
Female
54
1
47
1
1-2 Year
No
26,510
152
255
0
261,224
Female
51
1
28
0
1-2 Year
Yes
37,492
26
85
0
281,706
Male
39
1
8
0
1-2 Year
No
2,630
157
130
0
189,890
Male
54
1
4
1
< 1 Year
No
2,630
1
207
0
215,772
Female
43
1
33
0
1-2 Year
Yes
2,630
160
255
0
323,079
Female
39
1
28
0
1-2 Year
Yes
27,348
35
142
1
388,019
Female
25
1
10
1
< 1 Year
No
29,904
152
203
0
224,741
Male
48
1
28
0
1-2 Year
Yes
29,822
13
38
0
317,888
Female
38
1
28
1
1-2 Year
No
34,314
124
38
0
201,301
Female
48
1
8
1
1-2 Year
No
67,176
26
286
0
303,483
Female
23
1
2
1
< 1 Year
No
29,317
152
71
0
342,472
Female
30
1
8
0
< 1 Year
Yes
44,898
124
138
0
129,508
Female
26
1
37
1
< 1 Year
No
32,409
152
100
0
336,608
Male
22
1
46
1
< 1 Year
No
35,728
152
224
0
105,708
Female
25
1
14
1
< 1 Year
No
25,755
152
78
0
150,005
Male
49
1
28
0
1-2 Year
Yes
2,630
55
298
0
363,356
Female
61
1
28
1
1-2 Year
No
49,322
26
240
0
366,734
Male
46
1
3
0
1-2 Year
Yes
21,504
26
105
0
129,244
Female
22
1
46
1
< 1 Year
No
26,805
152
161
0
454,830
Male
24
1
10
1
< 1 Year
No
28,777
152
253
0
167,280
Female
25
1
15
0
< 1 Year
No
38,587
152
74
0
74,687
Female
25
1
46
0
< 1 Year
Yes
54,224
152
175
0
472,055
Female
53
1
48
1
1-2 Year
No
2,630
26
122
0
78,286
Female
27
1
30
1
< 1 Year
No
27,424
152
206
0
171,614
Male
35
1
28
1
1-2 Year
No
32,544
152
151
0
62,276
Male
23
1
46
1
< 1 Year
No
26,808
152
199
0
332,530
Male
39
1
46
0
1-2 Year
Yes
23,926
124
97
1
376,915
Male
24
1
15
1
< 1 Year
No
34,721
152
22
0
335,755
Male
26
1
43
1
< 1 Year
No
2,630
152
170
0
21,045
Male
22
1
42
1
< 1 Year
No
2,630
160
147
0
44,989
Female
29
1
30
1
< 1 Year
No
24,132
152
159
0
374,528
Female
21
1
8
0
< 1 Year
No
31,210
160
165
0
447,797
Male
54
1
28
0
1-2 Year
Yes
37,138
26
276
1
340,265
Male
24
1
49
0
< 1 Year
Yes
2,630
160
273
0
213,608
Female
25
1
6
1
< 1 Year
No
22,911
152
131
0
157,507
Male
56
1
17
0
1-2 Year
Yes
45,936
124
244
0
498,091
Female
48
1
28
0
1-2 Year
Yes
42,805
26
80
1
89,317
Male
47
1
43
0
1-2 Year
Yes
32,774
124
105
0
164,549
Male
24
1
15
0
< 1 Year
Yes
23,938
152
105
0
247,064
Male
27
1
28
1
< 1 Year
No
336,395
152
144
0
165,293
Male
45
1
28
0
1-2 Year
Yes
40,443
26
187
0
383,241
Female
28
1
28
1
< 1 Year
No
25,380
152
208
0
401,019
Female
29
1
18
1
< 1 Year
No
30,396
152
104
0