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
208,733
Male
23
1
6
1
< 1 Year
No
24,091
152
61
0
50,892
Male
73
1
3
1
1-2 Year
No
31,160
26
98
0
48,710
Male
40
1
28
1
1-2 Year
No
51,521
124
267
0
43,479
Female
21
1
33
1
< 1 Year
No
28,678
152
129
0
148,981
Male
57
1
29
0
1-2 Year
Yes
36,843
26
128
0
61,287
Female
53
1
50
0
1-2 Year
No
2,630
157
190
0
76,863
Male
23
1
28
1
< 1 Year
No
47,508
152
94
0
185,857
Male
27
1
28
1
< 1 Year
No
83,148
152
163
0
450,053
Male
35
1
28
0
1-2 Year
Yes
32,135
156
203
1
368,712
Female
42
1
36
0
1-2 Year
Yes
31,517
157
107
1
47,539
Male
50
1
28
0
1-2 Year
Yes
37,032
26
209
0
335,112
Male
25
1
44
1
< 1 Year
No
38,240
152
290
0
347,887
Female
22
1
8
0
< 1 Year
Yes
28,404
152
64
0
251,797
Male
46
1
28
0
1-2 Year
Yes
48,514
26
238
1
239,258
Female
22
1
8
1
< 1 Year
No
95,135
152
103
0
285,945
Female
57
1
28
0
1-2 Year
Yes
27,535
26
97
0
377,052
Male
65
1
45
0
1-2 Year
Yes
23,672
26
201
0
131,840
Female
74
1
28
0
1-2 Year
Yes
31,531
124
28
0
425,179
Female
21
1
37
1
< 1 Year
No
2,630
152
254
0
46,020
Male
25
1
41
1
< 1 Year
No
54,582
152
274
0
72,692
Male
35
1
28
1
1-2 Year
Yes
2,630
157
38
0
374,068
Female
53
1
47
1
1-2 Year
No
35,502
113
27
0
338,540
Male
38
1
28
1
1-2 Year
No
72,800
122
173
0
135,557
Female
41
1
28
0
1-2 Year
No
2,630
124
228
0
175,637
Female
29
1
28
1
< 1 Year
No
42,401
152
217
0
215,483
Male
58
1
28
0
1-2 Year
Yes
2,630
81
54
0
65,400
Female
64
1
28
1
1-2 Year
Yes
44,427
25
220
0
332,544
Male
68
1
28
0
1-2 Year
Yes
51,612
152
272
0
55,417
Male
67
1
46
1
1-2 Year
No
34,931
124
217
0
79,552
Male
25
1
41
1
< 1 Year
No
32,837
152
147
0
350,260
Male
47
1
29
0
1-2 Year
Yes
52,698
124
21
1
507,320
Male
53
1
8
1
1-2 Year
No
38,036
71
276
0
70,041
Female
57
1
3
1
1-2 Year
No
32,498
152
133
0
294,031
Male
40
1
15
1
1-2 Year
No
30,641
124
164
0
62,003
Female
73
1
28
0
> 2 Years
Yes
64,222
124
195
0
152,463
Female
60
1
7
1
1-2 Year
No
2,630
124
45
0
326,655
Male
33
1
30
0
1-2 Year
Yes
2,630
124
274
0
151,413
Female
31
1
8
0
1-2 Year
No
31,330
26
42
0
184,009
Male
45
1
36
1
1-2 Year
No
35,699
26
263
0
170,125
Male
54
1
28
0
1-2 Year
Yes
2,630
26
210
0
304,384
Male
20
1
46
0
< 1 Year
Yes
24,346
160
235
0
341,555
Female
64
1
39
0
1-2 Year
Yes
31,945
26
160
0
39,765
Male
46
1
28
0
1-2 Year
Yes
36,807
124
258
0
132,519
Male
61
1
28
0
1-2 Year
Yes
45,168
124
158
0
43,664
Female
34
1
28
0
1-2 Year
No
2,630
157
255
0
455,135
Female
50
1
46
0
1-2 Year
Yes
47,517
26
260
1
304,779
Female
56
1
11
0
1-2 Year
Yes
41,716
124
22
1
487,396
Female
23
1
46
1
< 1 Year
No
22,455
160
172
0
426,575
Female
41
1
8
0
1-2 Year
Yes
32,614
26
35
1
377,049
Female
39
1
28
0
1-2 Year
Yes
29,282
155
141
0
18,338
Female
22
1
46
1
< 1 Year
No
27,433
152
126
0
41,509
Male
21
1
17
1
< 1 Year
No
69,187
160
222
0
196,948
Female
46
1
28
1
1-2 Year
No
42,653
124
121
0
11,087
Male
24
1
35
0
< 1 Year
Yes
35,239
124
56
0
91,413
Male
49
1
8
1
1-2 Year
No
47,794
124
201
0
188,650
Male
24
1
15
0
< 1 Year
Yes
30,048
160
116
0
395,725
Male
56
1
29
0
1-2 Year
Yes
34,938
26
293
1
348,876
Male
56
1
28
0
1-2 Year
Yes
39,572
124
50
0
142,764
Female
54
1
20
0
1-2 Year
Yes
2,630
26
175
0
30,264
Male
34
1
46
1
1-2 Year
No
26,874
152
50
0
194,360
Male
45
1
29
0
1-2 Year
No
23,151
26
204
0
106,368
Male
41
1
15
0
1-2 Year
Yes
34,501
26
140
1
83,551
Male
45
1
31
0
1-2 Year
Yes
2,630
9
30
1
351,777
Female
57
1
28
0
> 2 Years
Yes
50,482
24
87
0
83,513
Male
32
1
29
0
1-2 Year
Yes
2,630
156
257
0
347,988
Male
21
1
10
0
< 1 Year
Yes
29,604
152
243
0
42,718
Female
21
1
41
1
< 1 Year
No
2,630
160
91
0
42,354
Female
77
1
28
0
1-2 Year
Yes
33,564
26
297
0
331,804
Female
43
1
15
0
1-2 Year
Yes
26,894
26
171
0
381,072
Male
53
1
8
0
1-2 Year
Yes
31,732
124
185
0
67,462
Male
41
1
3
1
1-2 Year
Yes
2,630
124
120
0
110,065
Male
45
1
28
0
1-2 Year
Yes
40,377
61
197
0
451,801
Male
74
1
47
1
1-2 Year
Yes
51,388
16
127
0
81,307
Female
47
1
37
0
1-2 Year
Yes
44,536
124
257
0
40,934
Female
26
1
41
1
< 1 Year
No
39,141
152
54
0
394,214
Male
36
1
8
0
1-2 Year
Yes
35,659
124
69
1
434,425
Male
29
1
28
1
< 1 Year
No
30,378
152
163
0
485,836
Male
45
1
28
1
1-2 Year
No
28,544
60
26
0
479,753
Male
22
1
36
1
< 1 Year
No
32,793
152
102
0
87,809
Female
24
1
41
0
< 1 Year
Yes
2,630
152
78
0
26,575
Male
44
1
28
0
1-2 Year
Yes
2,630
26
145
1
341,207
Male
57
1
3
0
1-2 Year
Yes
30,531
26
53
0
223,336
Male
43
1
8
1
1-2 Year
No
53,303
26
57
0
226,318
Male
68
1
28
0
1-2 Year
Yes
49,711
124
157
0
94,012
Female
41
1
3
0
1-2 Year
Yes
2,630
26
59
1
19,167
Female
42
1
28
1
1-2 Year
No
29,864
125
228
0
198,768
Male
23
1
8
1
< 1 Year
No
32,642
152
209
0
360,576
Male
27
1
28
1
1-2 Year
No
35,659
124
112
0
245,017
Female
35
1
9
0
1-2 Year
Yes
37,686
124
271
1
286,659
Female
33
1
8
1
< 1 Year
No
30,525
152
64
0
340,090
Male
51
1
28
0
1-2 Year
Yes
55,449
124
274
0
87,334
Male
27
1
30
1
< 1 Year
No
24,614
152
74
0
202,124
Female
43
1
47
1
1-2 Year
No
38,318
152
130
0
383,101
Female
25
1
41
0
< 1 Year
Yes
37,409
26
175
1
111,003
Female
26
1
30
1
< 1 Year
No
32,476
152
113
0
219,612
Male
52
1
28
0
1-2 Year
Yes
39,980
26
266
1
233,366
Male
28
1
14
1
< 1 Year
No
34,874
151
206
0
130,858
Male
41
1
28
0
1-2 Year
Yes
77,169
124
178
0
130,562
Female
50
1
28
0
1-2 Year
Yes
43,968
26
257
1
358,874
Male
57
1
7
0
1-2 Year
Yes
32,114
124
268
0