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
268,096
Male
26
1
8
1
< 1 Year
No
29,821
152
47
0
312,790
Female
54
1
28
0
1-2 Year
Yes
40,545
26
230
0
374,282
Female
39
1
28
0
1-2 Year
Yes
29,511
122
41
0
318,405
Female
48
1
28
1
1-2 Year
Yes
29,756
31
115
0
213,322
Female
22
1
43
1
< 1 Year
No
26,441
152
135
0
150,749
Male
27
1
29
1
< 1 Year
No
36,574
152
103
0
460,389
Male
22
1
46
1
< 1 Year
No
30,151
152
60
0
332,951
Male
32
1
28
0
< 1 Year
Yes
34,950
122
233
1
448,631
Male
40
1
28
0
1-2 Year
Yes
34,991
26
48
1
208,622
Male
41
1
21
0
1-2 Year
Yes
2,630
124
189
0
163,718
Male
31
1
28
0
1-2 Year
Yes
44,069
156
174
0
478,596
Male
31
1
28
0
1-2 Year
Yes
41,483
124
102
1
18,062
Female
27
1
30
1
< 1 Year
No
26,538
152
106
0
313,070
Female
27
1
28
1
< 1 Year
No
58,982
152
12
0
336,816
Female
25
1
11
1
< 1 Year
No
26,375
152
97
0
376,509
Male
65
1
28
0
1-2 Year
Yes
59,717
124
220
0
440,333
Female
28
1
15
1
< 1 Year
No
2,630
152
271
0
478,988
Male
24
1
8
1
< 1 Year
No
44,540
152
235
0
62,031
Male
47
1
50
0
1-2 Year
Yes
31,155
124
101
0
208,127
Female
42
1
28
0
1-2 Year
Yes
30,128
124
59
0
276,418
Male
22
1
8
0
< 1 Year
No
27,996
152
148
0
505,494
Female
30
1
36
1
< 1 Year
No
29,884
152
211
0
36,467
Male
29
1
32
1
< 1 Year
No
2,630
160
26
0
235,818
Female
24
1
35
1
< 1 Year
No
22,233
152
54
0
319,173
Female
33
1
13
1
< 1 Year
No
14,184
152
193
0
272,188
Female
37
1
8
1
1-2 Year
No
33,569
152
213
0
263,970
Male
65
1
41
0
1-2 Year
No
48,453
12
290
0
106,938
Male
68
1
37
1
1-2 Year
No
38,917
124
163
0
315,295
Female
22
1
41
1
< 1 Year
No
29,857
152
96
0
193,475
Male
43
1
28
0
1-2 Year
Yes
48,555
26
50
0
116,923
Male
34
1
15
0
< 1 Year
Yes
32,219
124
121
1
75,640
Female
31
1
28
0
< 1 Year
Yes
2,630
157
82
0
482,817
Female
34
1
15
0
1-2 Year
Yes
2,630
157
120
1
260,365
Male
22
1
27
0
< 1 Year
Yes
23,999
152
201
0
201,111
Male
25
1
41
1
< 1 Year
No
32,301
152
249
0
244,936
Male
23
1
14
0
< 1 Year
Yes
26,138
151
145
0
374,092
Female
39
1
8
0
1-2 Year
Yes
27,062
11
58
0
131,298
Male
68
1
28
0
> 2 Years
Yes
2,630
157
138
0
393,332
Female
23
1
6
1
< 1 Year
No
26,122
152
203
0
111,307
Female
32
1
45
1
< 1 Year
No
25,158
152
70
0
141,945
Female
41
1
28
1
1-2 Year
No
44,910
124
107
0
453,350
Female
45
1
28
0
1-2 Year
Yes
2,630
122
121
1
229,480
Female
25
1
6
1
< 1 Year
No
24,337
152
199
0
43,061
Female
26
1
26
1
< 1 Year
No
2,630
152
265
0
105,472
Male
22
1
8
1
1-2 Year
No
2,630
156
167
0
272,649
Male
45
1
28
0
1-2 Year
Yes
50,507
124
175
0
222,804
Male
59
1
8
0
1-2 Year
Yes
33,816
26
164
1
292,897
Male
21
1
41
1
< 1 Year
No
45,768
152
95
0
340,542
Male
46
1
40
0
1-2 Year
Yes
37,630
124
94
1
379,155
Male
42
1
28
0
1-2 Year
Yes
49,975
124
174
1
29,352
Male
32
1
37
1
1-2 Year
No
49,622
124
206
0
97,693
Male
53
1
17
1
1-2 Year
No
24,588
26
210
0
193,093
Female
24
1
33
1
< 1 Year
No
26,783
152
286
0
306,333
Female
23
1
49
0
< 1 Year
Yes
19,113
151
61
0
259,714
Female
43
1
29
1
1-2 Year
No
38,795
157
162
0
484,152
Female
44
1
28
0
1-2 Year
Yes
36,115
26
273
1
163,980
Male
41
1
28
0
1-2 Year
Yes
50,797
124
231
0
166,476
Male
35
1
8
0
< 1 Year
No
2,630
1
160
0
315,554
Male
42
1
30
0
1-2 Year
Yes
2,630
26
187
0
384,737
Male
24
1
8
1
< 1 Year
No
29,735
152
55
0
186,083
Female
63
1
28
0
1-2 Year
Yes
65,429
122
188
0
250,748
Male
23
1
28
1
< 1 Year
No
42,915
152
207
0
190,096
Female
25
1
50
1
< 1 Year
No
28,270
152
144
0
24,244
Female
56
1
28
0
1-2 Year
Yes
38,233
26
77
0
286,367
Male
74
1
37
0
1-2 Year
Yes
34,865
26
288
0
380,335
Male
56
1
28
0
1-2 Year
Yes
80,307
124
226
0
182,472
Female
29
1
11
1
< 1 Year
No
35,029
152
22
0
169,445
Male
28
1
28
1
< 1 Year
No
27,405
152
154
0
471,844
Male
55
1
35
1
1-2 Year
No
39,482
31
171
0
466,805
Female
35
1
18
0
1-2 Year
Yes
2,630
154
238
1
168,463
Female
47
1
28
0
1-2 Year
Yes
25,182
29
151
0
494,484
Female
25
1
31
1
< 1 Year
No
2,630
152
231
0
39,590
Female
43
1
46
1
1-2 Year
No
34,214
152
113
0
99,768
Female
26
1
41
1
< 1 Year
No
35,887
152
215
0
288,007
Male
26
1
8
1
< 1 Year
No
30,035
152
66
0
367,466
Female
24
1
28
1
< 1 Year
No
52,907
152
186
0
167,742
Female
23
1
43
1
< 1 Year
No
2,630
151
153
0
149,776
Female
23
1
43
1
< 1 Year
No
27,665
152
155
0
76,766
Female
26
1
36
1
< 1 Year
No
2,630
151
190
0
27,339
Female
23
1
46
1
< 1 Year
No
28,436
152
13
0
305,797
Female
59
1
8
1
1-2 Year
No
44,736
124
264
0
232,209
Female
24
1
28
0
< 1 Year
Yes
37,354
26
151
0
191,448
Male
31
1
10
1
< 1 Year
No
85,555
152
260
0
2,734
Female
22
1
8
1
< 1 Year
No
47,111
152
241
0
209,954
Male
46
1
15
0
1-2 Year
Yes
2,630
156
87
0
337,902
Female
36
1
46
0
> 2 Years
Yes
29,876
155
278
0
416,185
Male
65
1
44
1
1-2 Year
No
52,732
124
215
0
356,510
Male
22
1
44
1
< 1 Year
No
36,750
152
55
0
135,951
Female
28
1
18
0
1-2 Year
Yes
2,630
157
77
0
331,015
Female
24
1
29
1
< 1 Year
No
33,739
152
118
0
54,590
Male
23
1
39
0
< 1 Year
Yes
22,827
152
220
0
19,753
Female
74
1
1
0
> 2 Years
Yes
2,630
26
233
0
40,010
Male
20
1
49
0
< 1 Year
Yes
2,630
160
10
0
3,512
Male
44
1
41
0
1-2 Year
Yes
30,462
124
145
0
56,801
Female
22
1
34
1
< 1 Year
Yes
41,469
152
158
0
12,591
Male
36
1
48
1
1-2 Year
No
2,630
26
108
0
271,296
Female
31
1
41
1
< 1 Year
No
42,044
152
50
0
429,116
Male
31
1
24
1
< 1 Year
No
29,504
152
244
0
365,800
Male
40
1
13
1
1-2 Year
No
24,971
152
209
0
324,812
Female
41
1
28
0
1-2 Year
Yes
48,174
26
279
1