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
34,751
Male
44
1
46
1
1-2 Year
No
31,389
152
109
0
384,509
Male
24
1
41
1
< 1 Year
No
51,554
152
71
0
432,665
Male
22
1
21
1
< 1 Year
No
34,937
152
243
0
295,931
Male
44
1
43
0
1-2 Year
Yes
35,738
124
131
0
90,347
Male
50
1
8
0
1-2 Year
No
40,445
124
33
0
7,853
Male
37
1
28
0
1-2 Year
Yes
29,184
26
14
1
260,660
Female
23
1
8
0
< 1 Year
No
27,857
152
15
0
340,006
Male
43
1
8
0
1-2 Year
Yes
2,630
124
204
0
303,198
Male
23
1
2
1
< 1 Year
No
31,641
152
180
0
102,361
Male
24
1
28
0
< 1 Year
Yes
2,630
152
260
0
341,070
Female
47
1
27
0
1-2 Year
Yes
24,042
26
32
0
334,026
Male
43
1
28
0
1-2 Year
Yes
43,397
13
269
0
99,658
Female
57
1
41
1
1-2 Year
No
29,201
26
258
0
128,678
Female
24
1
6
1
< 1 Year
No
33,442
152
252
0
43,150
Male
24
1
28
1
< 1 Year
No
56,488
152
222
0
11,928
Male
23
1
42
0
< 1 Year
Yes
2,630
152
191
0
255,816
Female
22
1
8
1
< 1 Year
No
55,985
152
210
0
188,150
Male
45
1
8
0
1-2 Year
Yes
42,742
124
263
0
185,800
Male
39
1
48
0
1-2 Year
Yes
2,630
122
91
1
4,826
Male
62
1
39
1
1-2 Year
No
36,965
124
93
0
308,927
Male
23
1
8
0
< 1 Year
Yes
34,680
152
191
0
309,838
Male
26
1
28
0
< 1 Year
Yes
89,637
26
88
0
167,296
Female
58
1
28
1
1-2 Year
No
51,812
154
75
0
268,174
Female
23
1
8
1
< 1 Year
No
46,517
152
269
0
22,730
Male
28
1
28
1
< 1 Year
No
42,186
152
130
0
20,868
Female
39
1
15
1
1-2 Year
No
39,660
152
254
0
388,733
Male
31
1
28
1
< 1 Year
No
42,609
152
272
0
177,759
Female
21
1
35
1
< 1 Year
No
43,809
152
248
0
480,087
Male
23
1
29
1
< 1 Year
No
2,630
160
106
0
445,314
Female
28
1
11
1
< 1 Year
No
25,405
152
141
0
41,413
Female
23
1
6
1
< 1 Year
No
23,801
26
299
0
203,979
Male
52
1
28
0
1-2 Year
Yes
34,616
26
268
0
178,319
Male
62
1
28
0
1-2 Year
Yes
49,022
30
291
0
8,911
Female
23
1
48
0
< 1 Year
Yes
2,630
156
287
0
337,620
Male
26
1
46
0
< 1 Year
Yes
34,018
152
154
0
83,426
Male
28
1
15
1
< 1 Year
No
37,837
152
135
0
314,662
Female
22
1
41
1
< 1 Year
No
32,191
152
200
0
359,990
Male
49
1
41
1
1-2 Year
No
51,737
124
11
0
128,672
Male
42
1
8
0
> 2 Years
Yes
68,025
26
100
1
243,918
Female
39
1
28
1
1-2 Year
No
38,947
124
248
0
32,309
Male
26
1
41
1
< 1 Year
No
34,856
152
33
0
58,992
Male
38
1
3
0
1-2 Year
Yes
34,285
124
226
0
329,714
Male
50
1
28
0
1-2 Year
Yes
30,650
122
87
0
431,285
Male
43
1
28
0
> 2 Years
Yes
35,055
26
188
1
367,479
Female
48
1
48
0
1-2 Year
Yes
2,630
26
95
0
41,620
Male
27
1
48
0
< 1 Year
Yes
2,630
152
21
0
136,849
Female
44
1
28
0
1-2 Year
Yes
42,578
124
128
1
123,895
Female
65
1
18
1
1-2 Year
No
40,326
26
263
0
173,134
Female
20
1
24
0
< 1 Year
No
25,874
160
99
0
120,311
Female
28
1
46
1
< 1 Year
No
39,568
26
223
0
47,307
Female
27
1
11
1
< 1 Year
No
29,996
152
144
0
506,959
Male
59
1
28
0
1-2 Year
Yes
55,358
26
59
1
96,389
Male
69
1
8
1
1-2 Year
Yes
33,629
8
285
0
169,544
Male
56
1
0
0
> 2 Years
Yes
2,630
30
11
0
125,850
Male
47
1
47
0
1-2 Year
Yes
33,396
26
18
0
262,623
Male
25
1
19
1
< 1 Year
Yes
42,411
152
101
0
224,298
Male
39
1
2
1
1-2 Year
No
37,546
26
63
0
106,689
Female
29
1
25
1
< 1 Year
No
57,036
152
86
0
387,216
Female
22
1
46
1
< 1 Year
No
25,015
152
222
0
328,809
Male
37
1
35
1
1-2 Year
No
2,630
124
271
0
507,358
Male
52
1
41
0
> 2 Years
Yes
32,836
26
249
1
48,121
Female
36
1
28
0
1-2 Year
Yes
40,394
26
49
0
51,578
Female
47
1
8
0
1-2 Year
Yes
40,404
26
111
0
159,905
Male
24
1
41
1
< 1 Year
No
30,912
152
211
0
11,985
Male
21
1
46
1
< 1 Year
No
37,430
152
143
0
259,331
Female
64
1
52
1
1-2 Year
No
41,740
124
185
0
421,309
Female
45
1
41
0
1-2 Year
Yes
36,867
26
131
1
227,050
Female
23
1
28
0
1-2 Year
Yes
29,254
156
278
0
506,573
Male
25
1
29
1
< 1 Year
No
31,072
152
195
0
168,427
Male
41
1
51
0
1-2 Year
Yes
106,035
124
253
0
271,338
Male
43
1
28
1
1-2 Year
No
25,027
124
54
0
358,438
Female
72
1
28
0
> 2 Years
Yes
49,652
122
68
0
275,815
Female
77
1
41
0
> 2 Years
Yes
44,712
124
172
0
55,873
Male
42
1
28
0
1-2 Year
Yes
41,263
26
16
0
498,629
Female
47
1
29
0
1-2 Year
Yes
2,630
156
48
1
180,618
Male
74
1
28
1
1-2 Year
Yes
36,400
25
248
0
461,992
Female
25
1
8
1
< 1 Year
No
42,404
152
194
0
127,571
Male
65
1
8
0
1-2 Year
Yes
61,014
26
117
0
437,056
Male
64
1
33
1
1-2 Year
No
2,630
26
281
0
119,862
Male
25
1
8
1
< 1 Year
No
27,307
160
250
0
67,312
Male
38
1
28
1
1-2 Year
No
53,357
124
74
0
169,263
Female
47
1
28
0
1-2 Year
Yes
31,571
26
172
0
374,449
Male
77
1
8
0
1-2 Year
Yes
2,630
124
265
0
276,682
Male
24
1
28
1
< 1 Year
No
24,900
152
242
0
395,130
Male
38
1
46
0
1-2 Year
Yes
25,379
124
121
1
331,392
Male
60
1
39
0
1-2 Year
Yes
2,630
15
187
1
343,997
Male
45
1
28
1
1-2 Year
No
42,333
124
30
0
484,266
Female
30
1
28
1
< 1 Year
No
2,630
152
141
0
308,433
Male
49
1
41
0
1-2 Year
Yes
27,410
116
159
0
165,698
Female
75
1
28
0
1-2 Year
Yes
41,219
124
15
0
227,826
Female
25
1
33
1
< 1 Year
No
25,362
152
92
0
244,991
Female
53
1
50
0
1-2 Year
Yes
42,093
124
166
0
91,151
Male
23
1
29
1
< 1 Year
No
33,799
152
35
0
482,072
Male
55
1
28
1
1-2 Year
No
43,281
124
204
0
183,097
Female
51
1
28
0
1-2 Year
Yes
49,458
26
295
0
161,853
Male
44
1
45
0
1-2 Year
Yes
28,656
26
198
0
152,478
Male
44
1
28
0
1-2 Year
Yes
38,422
26
44
0
360,868
Female
43
1
48
0
1-2 Year
Yes
2,630
156
134
0
399,276
Male
49
1
41
0
1-2 Year
Yes
24,106
26
210
1
260,482
Male
38
1
45
0
1-2 Year
Yes
2,630
124
132
0