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
91,303
Female
26
1
16
0
< 1 Year
Yes
2,630
124
63
0
187,242
Female
25
1
11
0
< 1 Year
Yes
35,061
152
194
0
146,370
Female
25
1
25
1
< 1 Year
No
27,223
152
208
0
429,168
Male
50
1
28
0
1-2 Year
Yes
47,079
26
57
1
327,946
Male
42
1
1
0
1-2 Year
Yes
2,630
156
287
0
226,817
Female
39
1
28
1
1-2 Year
No
24,842
26
192
0
146,332
Female
20
1
49
1
< 1 Year
No
31,174
160
102
0
43,211
Male
51
1
12
0
1-2 Year
Yes
21,663
124
107
0
185,465
Male
45
1
29
0
1-2 Year
Yes
2,630
156
185
1
458,602
Male
31
1
8
1
< 1 Year
No
41,530
152
28
0
371,896
Female
24
1
24
1
< 1 Year
No
20,034
152
228
0
34,899
Female
22
1
34
0
< 1 Year
Yes
26,374
26
124
0
44,873
Male
23
1
2
0
< 1 Year
Yes
2,630
160
223
0
309,831
Female
35
1
28
0
1-2 Year
Yes
41,136
124
28
0
140,035
Female
72
1
28
0
1-2 Year
Yes
45,859
25
69
0
279,326
Male
74
1
28
0
1-2 Year
No
50,385
26
20
0
108,928
Female
47
1
28
1
1-2 Year
No
29,899
122
83
0
389,956
Male
59
1
43
1
1-2 Year
No
26,917
26
47
0
133,492
Male
34
1
11
0
1-2 Year
Yes
2,630
124
68
1
288,627
Male
26
1
41
0
< 1 Year
No
21,619
152
291
0
37,515
Female
31
1
45
0
1-2 Year
Yes
2,630
157
89
1
240,761
Female
54
1
28
1
1-2 Year
No
37,845
26
182
0
227,369
Male
74
1
50
0
1-2 Year
Yes
29,459
26
290
0
19,901
Male
44
1
47
0
> 2 Years
Yes
2,630
157
217
1
371,530
Male
31
1
3
1
< 1 Year
No
19,717
152
120
0
101,540
Female
44
1
28
0
1-2 Year
Yes
32,195
124
101
1
232,483
Male
39
1
35
0
1-2 Year
Yes
2,630
157
107
0
495,646
Female
27
1
47
1
< 1 Year
No
37,129
152
161
0
235,855
Male
22
1
30
1
< 1 Year
No
31,552
152
252
0
116,364
Male
52
1
8
0
1-2 Year
Yes
2,630
157
293
1
332,277
Female
51
1
28
0
1-2 Year
Yes
34,724
26
100
0
92,872
Female
44
1
46
0
1-2 Year
Yes
33,735
124
280
1
174,358
Male
69
1
19
0
1-2 Year
Yes
2,630
26
115
0
204,193
Male
73
1
28
1
1-2 Year
No
28,315
124
133
0
127,700
Female
30
1
29
0
< 1 Year
Yes
2,630
160
227
0
70,271
Male
22
1
41
1
< 1 Year
No
54,675
152
233
0
259,061
Male
21
1
15
1
< 1 Year
No
40,133
160
257
0
387,305
Female
51
1
38
0
1-2 Year
Yes
30,493
124
204
1
308,746
Female
22
1
35
0
< 1 Year
Yes
41,597
156
161
1
342,446
Female
47
1
28
0
1-2 Year
Yes
2,630
26
187
1
102,631
Female
26
1
6
1
< 1 Year
No
21,703
152
74
0
111,496
Male
45
1
30
1
1-2 Year
No
32,857
124
93
0
235,900
Female
53
1
41
0
1-2 Year
Yes
34,218
124
51
1
85,401
Female
24
1
35
1
< 1 Year
No
42,013
152
92
0
192,172
Male
27
1
3
1
< 1 Year
No
33,222
152
166
0
37,947
Female
57
1
38
0
1-2 Year
Yes
2,630
157
288
1
122,628
Female
26
1
30
1
< 1 Year
No
23,680
152
71
0
426,932
Female
22
1
30
1
< 1 Year
No
27,168
152
113
0
199,244
Male
25
1
28
0
< 1 Year
Yes
48,697
124
55
0
61,779
Male
29
1
46
1
1-2 Year
No
24,161
124
85
0
84,644
Male
26
1
8
1
< 1 Year
No
43,829
152
216
0
132,611
Male
23
1
28
0
< 1 Year
Yes
26,563
152
19
0
141,930
Female
21
1
14
1
< 1 Year
No
33,960
152
162
0
245,503
Female
30
1
28
0
1-2 Year
Yes
2,630
157
77
0
472,805
Female
30
1
41
0
1-2 Year
Yes
42,761
163
18
1
128,976
Female
21
1
28
0
< 1 Year
Yes
55,484
163
118
0
283,904
Female
23
1
6
1
< 1 Year
No
22,507
152
23
0
444,441
Female
71
1
28
1
1-2 Year
No
33,989
122
288
0
314,051
Male
39
1
28
0
1-2 Year
Yes
42,725
26
19
0
49,806
Male
43
1
36
0
1-2 Year
Yes
36,229
124
173
0
188,532
Male
59
1
39
0
1-2 Year
Yes
31,414
124
207
1
387,028
Male
27
1
41
1
< 1 Year
No
28,988
152
68
0
401,913
Female
40
1
28
0
1-2 Year
Yes
44,532
124
201
1
332,084
Male
57
1
33
0
1-2 Year
Yes
2,630
157
165
0
456,321
Female
23
1
7
1
< 1 Year
No
66,908
152
73
0
23,401
Male
59
1
3
0
1-2 Year
Yes
34,282
26
188
0
451,813
Female
40
1
28
0
1-2 Year
Yes
27,619
124
249
1
154,747
Female
60
1
28
1
1-2 Year
No
33,460
26
260
0
459,973
Female
35
1
33
1
1-2 Year
No
29,330
152
159
0
251,745
Male
47
1
10
0
1-2 Year
Yes
2,630
26
51
1
120,012
Male
47
1
28
0
1-2 Year
Yes
43,180
26
273
1
85,743
Female
22
1
46
1
< 1 Year
No
33,907
152
11
0
106,150
Male
49
1
28
0
1-2 Year
Yes
33,289
26
187
0
356,979
Male
33
1
41
1
< 1 Year
No
2,630
152
200
0
27,343
Male
65
1
28
1
1-2 Year
No
37,541
124
10
0
219,299
Female
27
1
41
1
< 1 Year
No
28,087
152
61
0
168,209
Male
21
1
15
1
< 1 Year
No
25,021
152
241
0
409,113
Male
29
1
28
1
< 1 Year
No
29,496
152
220
0
130,878
Male
48
1
26
0
1-2 Year
Yes
28,574
61
84
0
76,704
Male
24
1
2
1
< 1 Year
No
34,225
152
213
0
221,693
Female
21
1
34
0
< 1 Year
Yes
42,034
160
263
0
102,004
Female
38
1
35
1
1-2 Year
No
23,579
152
239
0
304,856
Male
23
1
16
1
< 1 Year
No
30,019
152
170
0
230,682
Female
24
1
28
0
1-2 Year
Yes
33,006
154
160
0
456,112
Male
54
1
28
1
1-2 Year
No
39,235
26
279
0
83,350
Male
27
1
8
1
< 1 Year
No
37,094
152
285
0
119,560
Female
23
1
30
1
< 1 Year
No
29,336
152
208
0
234,297
Male
41
1
15
1
1-2 Year
No
40,630
124
240
0
262,755
Female
74
1
28
1
1-2 Year
No
48,144
26
34
0
32,451
Female
33
1
28
1
< 1 Year
No
37,962
152
152
0
22,583
Male
30
1
47
1
1-2 Year
Yes
22,395
124
272
0
137,081
Male
52
1
28
0
1-2 Year
Yes
52,679
26
40
0
364,953
Male
53
1
8
0
1-2 Year
Yes
33,759
30
76
1
14,742
Male
27
1
11
1
< 1 Year
No
35,740
152
126
0
408,954
Male
45
1
3
0
1-2 Year
Yes
35,196
124
200
1
43,760
Male
52
0
50
0
1-2 Year
Yes
33,569
64
189
0
263,325
Male
47
1
48
0
1-2 Year
No
2,630
9
11
0
38,989
Male
74
1
28
1
1-2 Year
No
55,661
124
243
0
36,419
Female
25
1
33
1
< 1 Year
No
29,983
152
277
0
504,846
Male
28
1
30
0
< 1 Year
Yes
31,851
26
150
1