Datasets:
codesignal
/
imbalanced-data-practice

Dataset card Data Studio Files 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
430,257
Female
23
1
22
1
< 1 Year
No
2,630
152
295
0
295,370
Female
43
1
28
0
> 2 Years
Yes
40,162
124
265
0
67,474
Female
24
1
30
0
1-2 Year
Yes
27,973
124
121
0
23,229
Male
20
1
13
0
< 1 Year
No
2,630
160
237
0
462,616
Female
72
1
8
1
1-2 Year
No
33,049
26
30
0
483,147
Female
45
1
28
0
1-2 Year
Yes
37,890
26
174
1
255,952
Male
49
1
35
0
1-2 Year
No
33,519
26
133
0
153,249
Female
21
1
36
1
< 1 Year
No
57,921
160
243
0
173,777
Female
27
1
8
1
< 1 Year
No
27,379
152
169
0
324,472
Male
26
1
46
1
< 1 Year
No
22,628
152
297
0
276,676
Female
33
1
15
1
< 1 Year
No
39,990
152
104
0
23,692
Male
56
1
43
1
1-2 Year
No
80,402
124
63
0
386,892
Female
42
1
35
1
1-2 Year
No
24,648
26
159
0
330,545
Male
24
1
10
1
< 1 Year
No
31,330
26
70
0
84,619
Female
26
1
33
1
< 1 Year
No
21,375
152
266
0
343,514
Male
24
1
43
1
< 1 Year
No
29,347
152
226
0
332,910
Male
41
1
6
0
1-2 Year
Yes
24,621
124
270
0
377,381
Female
64
1
28
0
> 2 Years
Yes
45,506
124
259
0
62,838
Female
52
1
50
1
1-2 Year
No
57,982
8
182
0
107,776
Female
25
1
46
0
< 1 Year
Yes
47,723
151
244
0
426,542
Male
66
1
28
1
1-2 Year
No
29,497
26
277
0
345,559
Female
23
1
10
1
< 1 Year
No
18,249
152
79
0
256,322
Female
26
1
6
1
< 1 Year
No
15,234
152
190
0
69,651
Male
34
1
41
1
< 1 Year
No
26,333
152
95
0
338,295
Male
27
1
30
1
< 1 Year
No
27,879
152
17
0
262,553
Male
65
1
33
0
1-2 Year
Yes
31,413
124
239
0
236,013
Female
24
1
33
1
< 1 Year
No
29,684
152
59
0
317,500
Female
26
1
8
1
< 1 Year
No
38,350
152
80
0
382,319
Female
61
1
8
1
1-2 Year
No
38,051
152
67
0
382,988
Female
21
1
33
1
< 1 Year
No
39,143
152
80
0
59,029
Male
26
1
45
1
< 1 Year
No
30,597
152
181
0
165,062
Female
29
1
28
0
< 1 Year
Yes
2,630
122
79
0
13,503
Female
20
1
45
1
< 1 Year
No
32,731
160
89
0
192,920
Female
39
1
48
0
1-2 Year
Yes
2,630
157
98
0
37,980
Female
73
1
26
0
> 2 Years
Yes
51,385
22
100
0
100,961
Female
40
1
28
0
1-2 Year
Yes
24,019
26
288
0
32,097
Female
24
1
14
0
< 1 Year
Yes
33,699
154
43
0
485,730
Female
26
1
16
1
< 1 Year
No
19,729
152
45
0
414,683
Male
22
1
41
1
< 1 Year
No
26,956
152
14
0
54,602
Female
27
1
49
1
< 1 Year
No
24,532
152
256
0
469,683
Male
23
1
50
1
< 1 Year
No
25,215
152
291
0
109,945
Female
45
1
28
0
1-2 Year
Yes
29,060
124
170
0
424,216
Female
41
1
28
0
1-2 Year
Yes
30,905
156
237
1
460,039
Male
38
1
8
0
1-2 Year
Yes
2,630
124
201
1
11,337
Female
33
1
21
0
< 1 Year
No
27,450
152
68
0
151,003
Male
40
1
12
0
1-2 Year
Yes
22,640
156
16
0
253,801
Male
70
1
39
0
1-2 Year
Yes
2,630
26
32
1
139,448
Male
45
1
28
1
1-2 Year
No
36,148
124
210
0
233,411
Female
28
1
28
0
< 1 Year
Yes
32,672
124
121
0
376,039
Male
28
1
40
0
< 1 Year
Yes
50,927
152
12
0
27,991
Female
55
1
8
0
1-2 Year
Yes
38,784
124
290
1
273,793
Female
41
1
8
0
1-2 Year
Yes
48,339
26
276
0
298,951
Female
47
1
37
0
1-2 Year
Yes
35,081
124
283
0
46,779
Male
47
1
8
1
1-2 Year
No
34,052
26
81
0
209,601
Male
22
1
15
1
< 1 Year
No
28,074
152
221
0
280,205
Male
59
1
18
0
1-2 Year
Yes
31,067
30
14
0
162,034
Male
53
1
28
0
1-2 Year
Yes
43,342
26
268
0
462,227
Male
29
1
50
1
< 1 Year
No
36,826
152
163
0
93,691
Male
23
1
22
1
< 1 Year
No
29,183
152
17
0
120,540
Male
48
1
28
0
> 2 Years
Yes
35,927
26
93
0
24,504
Female
38
1
8
0
1-2 Year
Yes
35,458
26
95
0
329,878
Male
50
1
13
1
1-2 Year
No
33,605
26
210
0
214,312
Female
22
1
46
1
< 1 Year
No
32,360
152
92
0
37,489
Female
27
1
28
1
< 1 Year
No
36,085
152
282
0
332,301
Male
23
1
8
1
< 1 Year
No
23,601
152
180
0
157,542
Female
56
1
47
1
1-2 Year
No
26,694
152
258
0
24,496
Male
38
1
1
0
1-2 Year
Yes
2,630
156
78
0
266,613
Male
28
1
28
1
< 1 Year
No
40,695
152
299
0
413,599
Female
24
1
46
1
< 1 Year
No
38,782
152
98
0
132,329
Male
25
1
8
1
< 1 Year
No
79,409
152
141
0
51,767
Male
22
1
28
1
< 1 Year
Yes
2,630
152
98
0
242,254
Female
50
1
38
0
1-2 Year
Yes
2,630
157
169
0
257,512
Male
30
1
28
0
1-2 Year
Yes
39,045
124
268
1
347,948
Female
23
1
39
1
< 1 Year
No
2,630
160
64
0
297,095
Female
25
1
36
1
< 1 Year
No
33,664
152
117
0
107,299
Male
40
1
10
1
1-2 Year
No
2,630
26
149
0
53,277
Male
24
1
32
1
< 1 Year
No
33,544
152
97
0
248,756
Male
72
1
8
1
1-2 Year
No
33,315
124
89
0
62,302
Female
32
1
38
0
1-2 Year
Yes
25,434
156
174
0
387,753
Male
54
1
14
1
1-2 Year
No
30,388
124
232
0
265,721
Male
22
1
37
0
< 1 Year
Yes
34,707
152
199
0
158,688
Male
35
1
3
0
< 1 Year
No
2,630
1
10
0
85,963
Male
22
1
26
1
< 1 Year
No
24,233
152
26
0
286,319
Female
26
1
19
1
< 1 Year
No
24,186
152
111
0
196,108
Female
33
1
28
0
< 1 Year
Yes
31,200
124
154
0
45,910
Male
66
1
3
1
1-2 Year
No
2,630
26
236
0
262,717
Male
43
1
28
1
1-2 Year
No
55,356
124
162
0
249,311
Male
37
1
3
0
1-2 Year
Yes
2,630
156
36
0
446,233
Male
26
1
28
1
< 1 Year
No
21,510
152
197
0
434,166
Male
49
1
50
1
1-2 Year
No
39,284
124
230
0
98,591
Female
28
1
41
1
< 1 Year
No
20,978
152
254
0
383,014
Female
20
1
44
1
< 1 Year
No
34,307
160
92
0
305,335
Male
21
1
43
0
< 1 Year
Yes
2,630
152
95
0
121,251
Male
36
1
20
0
1-2 Year
Yes
2,630
26
92
0
92,140
Female
24
1
41
1
< 1 Year
No
25,897
152
67
0
295,928
Male
35
1
5
0
1-2 Year
Yes
28,632
124
110
0
436,299
Female
46
1
28
0
1-2 Year
Yes
53,211
124
196
1
236,721
Male
40
1
20
1
1-2 Year
No
2,630
26
108
0
93,627
Male
32
1
7
0
1-2 Year
Yes
51,900
124
185
0
400,264
Male
28
1
28
0
< 1 Year
Yes
26,297
124
108
1