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
77,667
Male
21
1
8
1
< 1 Year
No
46,219
160
94
0
288,076
Male
55
1
28
0
1-2 Year
Yes
47,830
26
288
0
92,584
Female
25
1
50
1
< 1 Year
No
22,864
152
294
0
169,041
Male
25
1
2
1
< 1 Year
No
33,400
152
213
0
387,909
Female
23
1
50
1
< 1 Year
No
56,097
152
73
0
180,765
Female
44
1
28
1
1-2 Year
No
48,311
26
15
0
198,068
Male
49
1
8
0
1-2 Year
Yes
49,545
124
28
0
427,045
Male
45
1
28
0
1-2 Year
Yes
2,630
26
153
1
441,847
Male
53
1
46
0
1-2 Year
Yes
28,415
26
299
1
126,578
Male
59
1
0
0
1-2 Year
Yes
2,630
26
252
0
194,161
Male
61
1
46
0
1-2 Year
Yes
22,590
124
181
1
377,602
Female
21
1
36
0
< 1 Year
No
31,612
152
121
0
393,520
Male
60
1
11
0
1-2 Year
Yes
33,541
26
98
1
422,039
Male
28
1
2
0
1-2 Year
Yes
2,630
155
213
1
133,993
Female
23
1
28
0
< 1 Year
Yes
35,548
158
208
0
160,761
Female
52
1
28
1
1-2 Year
No
32,691
26
250
0
382,439
Male
22
1
6
1
< 1 Year
No
32,622
152
220
0
240,189
Male
58
1
28
0
> 2 Years
Yes
2,630
124
240
0
403,970
Female
67
1
28
1
1-2 Year
No
38,462
26
66
0
32,316
Female
24
1
45
1
< 1 Year
No
27,372
152
44
0
44,788
Female
26
1
41
1
< 1 Year
No
27,986
152
62
0
188,014
Male
28
1
46
0
< 1 Year
No
32,778
152
89
0
241,665
Female
25
1
37
1
< 1 Year
No
47,811
152
104
0
284,473
Male
29
1
28
1
< 1 Year
No
39,836
152
51
0
205,489
Female
28
1
50
1
< 1 Year
No
28,159
152
122
0
343,814
Male
38
1
39
0
1-2 Year
Yes
2,630
156
170
1
258,689
Female
25
1
50
1
< 1 Year
No
33,241
152
232
0
487,958
Male
41
1
28
0
1-2 Year
Yes
25,459
124
225
1
304,876
Female
40
1
30
1
1-2 Year
No
30,335
152
78
0
394,793
Male
56
1
28
0
1-2 Year
Yes
2,630
26
297
1
134,009
Male
50
1
13
0
1-2 Year
Yes
24,384
26
52
0
321,532
Female
23
1
30
1
< 1 Year
No
22,866
152
197
0
7,534
Female
31
1
15
1
< 1 Year
No
27,039
152
209
0
151,093
Male
63
1
28
1
1-2 Year
Yes
29,343
26
150
0
192,533
Male
24
1
3
1
< 1 Year
No
25,232
152
144
0
261,337
Female
23
1
13
0
< 1 Year
Yes
26,864
152
251
0
205,728
Male
47
1
28
0
1-2 Year
Yes
42,438
124
249
0
89,648
Female
23
1
32
0
< 1 Year
Yes
34,274
160
160
0
311,137
Female
63
1
3
0
1-2 Year
No
35,139
26
265
0
294,227
Female
43
1
34
1
1-2 Year
No
31,456
152
26
0
342,378
Male
45
1
41
0
> 2 Years
Yes
24,609
124
197
0
68,384
Male
50
1
6
0
1-2 Year
Yes
35,445
124
138
1
305,276
Female
26
1
2
1
< 1 Year
No
19,705
152
239
0
58,969
Male
44
1
3
1
1-2 Year
No
36,440
124
227
0
329,323
Male
31
1
30
1
< 1 Year
No
2,630
152
33
0
207,162
Male
43
1
47
1
1-2 Year
Yes
33,618
122
96
0
91,631
Male
45
1
45
1
1-2 Year
No
34,632
26
156
0
333,126
Male
62
1
39
1
1-2 Year
No
26,893
26
35
0
148,846
Male
39
1
43
1
1-2 Year
No
2,630
26
212
0
497,900
Male
25
1
50
1
< 1 Year
No
36,601
152
72
0
200,676
Female
31
1
15
1
< 1 Year
No
31,642
152
153
0
35,346
Female
45
1
28
0
1-2 Year
Yes
38,038
124
202
0
337,320
Male
49
1
0
0
1-2 Year
Yes
2,630
26
299
0
85,119
Female
32
1
5
0
1-2 Year
Yes
34,910
163
232
1
507,476
Female
44
1
8
0
1-2 Year
Yes
37,487
4
157
1
432,229
Female
41
1
41
1
1-2 Year
No
25,147
26
217
0
387,596
Female
24
1
10
1
< 1 Year
No
24,606
152
277
0
73,245
Female
21
1
46
0
< 1 Year
Yes
37,401
152
255
0
106,170
Male
46
1
3
1
1-2 Year
No
17,556
152
210
0
62,510
Male
33
1
46
1
< 1 Year
No
27,818
152
138
0
195,004
Female
34
1
46
0
1-2 Year
Yes
2,630
124
253
1
180,375
Female
35
1
21
1
1-2 Year
No
2,630
152
189
0
49,128
Male
36
1
46
0
1-2 Year
Yes
34,591
152
247
0
309,056
Female
37
1
13
0
1-2 Year
Yes
22,302
124
231
0
475,004
Female
27
1
36
1
< 1 Year
No
37,711
152
111
0
179,315
Female
42
1
28
0
1-2 Year
Yes
41,073
26
243
0
221,998
Female
22
1
21
1
< 1 Year
Yes
31,131
152
263
0
17,334
Male
43
1
28
0
1-2 Year
Yes
2,630
8
275
0
134,761
Female
21
1
5
0
< 1 Year
Yes
26,497
152
226
0
47,319
Male
24
1
28
1
< 1 Year
No
28,003
152
168
0
152,013
Male
23
1
16
1
< 1 Year
No
30,068
152
207
0
377,752
Female
24
1
2
0
< 1 Year
No
23,105
152
45
0
50,829
Female
33
1
0
0
1-2 Year
Yes
2,630
26
49
0
20,711
Male
27
1
6
1
< 1 Year
No
25,649
152
147
0
3,392
Male
52
1
28
0
1-2 Year
Yes
49,469
26
209
0
370,625
Female
52
1
28
0
1-2 Year
Yes
56,401
26
164
0
275,361
Female
36
1
41
1
1-2 Year
No
27,155
152
229
0
332,588
Male
40
1
29
0
1-2 Year
Yes
60,365
26
98
1
32,877
Male
21
1
28
0
1-2 Year
Yes
50,621
26
153
0
305,415
Female
25
1
16
1
< 1 Year
Yes
2,630
160
163
0
285,578
Male
22
1
47
1
< 1 Year
No
33,922
152
257
0
12,870
Male
53
1
41
0
> 2 Years
Yes
38,140
26
49
1
279,701
Male
21
1
8
1
< 1 Year
No
38,325
152
105
0
189,451
Female
40
1
28
0
> 2 Years
Yes
42,507
154
255
1
196,976
Female
37
1
15
0
1-2 Year
Yes
27,226
124
138
1
101,259
Female
23
1
8
1
< 1 Year
No
31,143
151
30
0
108,117
Female
25
1
36
0
< 1 Year
Yes
31,788
152
245
1
466,429
Female
25
1
10
1
< 1 Year
No
2,630
152
185
0
204,859
Male
51
1
28
0
1-2 Year
Yes
40,558
26
80
0
43,663
Female
22
1
39
1
< 1 Year
No
24,748
152
188
0
221,329
Female
46
1
38
0
1-2 Year
Yes
37,127
124
285
0
182,124
Female
37
1
28
0
1-2 Year
Yes
37,822
26
206
0
186,252
Male
34
1
11
0
1-2 Year
Yes
28,595
124
182
1
438,606
Male
42
1
28
0
1-2 Year
Yes
40,038
163
295
1
296,418
Male
64
1
13
1
1-2 Year
Yes
32,985
26
209
0
241,739
Male
21
1
29
0
< 1 Year
Yes
2,630
160
225
0
274,485
Male
24
1
8
0
< 1 Year
Yes
33,182
152
267
0
504,121
Female
38
1
39
0
1-2 Year
Yes
24,312
26
117
1
109,178
Female
30
1
35
1
< 1 Year
No
32,889
152
285
0
172,925
Female
70
1
45
1
1-2 Year
No
22,399
24
105
0