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
418,869
Female
45
1
28
0
1-2 Year
Yes
38,190
124
266
1
470,005
Male
53
1
48
1
1-2 Year
No
2,630
124
271
0
52,700
Male
64
1
28
0
1-2 Year
Yes
37,186
122
278
0
357,263
Male
72
1
28
0
1-2 Year
Yes
35,005
124
197
0
286,000
Female
40
1
28
0
1-2 Year
Yes
40,095
124
166
0
311,478
Female
22
1
3
0
< 1 Year
No
23,324
152
107
0
355,297
Male
31
1
50
1
1-2 Year
No
33,598
124
209
0
356,096
Female
52
1
41
0
1-2 Year
Yes
44,919
26
221
0
393,247
Male
57
1
8
0
1-2 Year
Yes
40,269
26
15
1
464,033
Male
56
1
8
1
1-2 Year
No
2,630
124
57
0
495,581
Female
41
1
3
1
1-2 Year
No
2,630
124
174
0
102,243
Male
34
1
8
0
1-2 Year
Yes
40,952
124
130
0
38,320
Female
63
1
23
1
1-2 Year
No
31,567
125
267
0
136,388
Male
45
1
28
0
1-2 Year
Yes
41,461
26
153
0
108,632
Female
26
1
8
1
< 1 Year
No
35,741
160
234
0
330,920
Male
50
1
29
0
1-2 Year
Yes
29,592
124
194
0
172,592
Female
25
1
15
1
< 1 Year
No
41,491
152
153
0
428,683
Male
23
1
25
1
< 1 Year
No
29,501
152
25
0
227,385
Male
49
1
2
1
1-2 Year
Yes
25,269
26
136
0
126,243
Male
46
1
47
0
1-2 Year
Yes
28,384
124
36
0
224,471
Male
63
1
28
0
> 2 Years
Yes
34,606
122
83
0
266,593
Female
62
1
8
0
1-2 Year
Yes
40,934
26
200
1
388,082
Female
76
1
41
1
1-2 Year
No
39,541
26
211
0
11,053
Female
22
1
10
0
< 1 Year
Yes
27,323
152
122
0
37,988
Female
29
1
21
1
< 1 Year
No
38,540
152
66
0
102,172
Female
68
1
11
1
1-2 Year
No
46,044
26
119
0
397,177
Male
28
1
50
1
< 1 Year
No
29,237
152
61
0
233,803
Male
39
1
28
1
1-2 Year
No
53,000
26
11
0
266,749
Male
51
1
0
0
1-2 Year
Yes
2,630
26
197
1
210,413
Male
63
1
46
1
1-2 Year
No
28,557
124
143
0
99,351
Female
32
1
39
0
1-2 Year
Yes
31,622
26
249
1
218,588
Male
24
1
28
1
< 1 Year
No
37,473
153
174
0
462,008
Male
25
1
8
1
< 1 Year
No
30,479
152
26
0
125,829
Male
39
1
28
0
1-2 Year
Yes
29,238
124
47
0
233,203
Female
22
1
37
0
< 1 Year
Yes
40,728
152
106
0
375,601
Female
39
1
28
0
1-2 Year
Yes
46,352
26
172
1
86,556
Female
24
1
6
1
< 1 Year
No
21,915
152
91
0
369,055
Female
55
1
33
0
1-2 Year
No
26,225
157
289
0
433,282
Male
24
1
50
1
< 1 Year
No
36,702
152
170
0
201,980
Male
44
1
28
0
1-2 Year
Yes
31,072
26
246
0
85,954
Female
61
1
15
0
1-2 Year
No
27,829
31
234
0
227,081
Female
76
1
28
0
1-2 Year
Yes
35,585
26
14
0
222,324
Female
29
1
40
0
< 1 Year
Yes
40,999
152
287
0
333,341
Male
46
1
41
0
1-2 Year
No
31,236
152
292
0
313,558
Male
33
1
28
0
< 1 Year
Yes
62,690
124
249
1
318,099
Male
51
1
8
0
1-2 Year
Yes
27,370
124
173
0
278,646
Male
26
1
18
1
< 1 Year
No
30,369
152
41
0
47,795
Male
42
1
28
0
1-2 Year
Yes
26,773
124
175
0
27,277
Female
23
1
29
1
< 1 Year
No
35,949
152
91
0
240,945
Male
21
1
11
1
< 1 Year
No
72,641
152
280
0
46,104
Male
25
1
39
1
< 1 Year
No
29,864
152
47
0
355,444
Female
48
1
28
0
> 2 Years
Yes
44,392
26
261
0
163,724
Male
28
1
3
1
1-2 Year
No
2,630
156
194
0
249,340
Male
62
1
28
0
1-2 Year
Yes
49,845
26
118
0
42,471
Female
42
1
29
0
1-2 Year
Yes
22,307
157
118
0
83,592
Male
44
1
8
0
1-2 Year
Yes
2,630
157
223
0
309,002
Male
76
1
17
1
1-2 Year
No
39,970
30
263
0
362,516
Female
28
1
33
1
< 1 Year
No
2,630
160
58
0
26,380
Female
25
1
45
0
< 1 Year
Yes
32,491
152
113
0
147,689
Female
30
1
41
1
< 1 Year
No
60,664
152
213
0
467,342
Male
30
1
46
1
< 1 Year
No
26,030
152
39
0
331,065
Female
23
1
21
1
< 1 Year
No
29,540
151
229
0
156,549
Female
36
1
28
0
1-2 Year
Yes
29,726
124
12
1
430,581
Female
45
1
28
1
1-2 Year
No
40,243
26
109
0
392,565
Male
22
1
30
1
< 1 Year
No
30,283
152
43
0
206,345
Male
52
1
30
0
1-2 Year
Yes
33,669
124
284
0
151,400
Female
64
1
28
1
1-2 Year
No
59,087
26
98
0
203,775
Male
59
1
8
0
1-2 Year
Yes
36,386
26
267
0
462,797
Male
22
1
37
1
< 1 Year
No
41,185
152
292
0
302,003
Female
45
1
41
0
1-2 Year
Yes
32,156
156
55
0
99,343
Male
40
1
28
0
1-2 Year
Yes
31,567
26
272
1
393,406
Male
41
1
46
0
1-2 Year
Yes
27,396
26
113
1
360,293
Male
21
1
30
1
< 1 Year
Yes
42,784
152
183
0
75,328
Male
58
1
51
0
> 2 Years
Yes
2,630
124
107
0
397,384
Female
70
1
24
1
1-2 Year
No
43,391
26
136
0
63,946
Female
49
1
49
0
1-2 Year
Yes
34,911
124
138
0
148,589
Male
48
1
7
0
> 2 Years
Yes
33,707
156
93
0
102,575
Female
50
1
28
0
1-2 Year
No
44,397
26
281
0
372,940
Male
42
1
28
0
1-2 Year
Yes
33,266
154
130
0
300,000
Female
24
1
7
0
< 1 Year
Yes
31,129
152
46
0
249,018
Female
25
1
28
1
< 1 Year
No
61,893
152
17
0
261,521
Female
43
1
33
0
1-2 Year
Yes
31,487
124
123
0
330,860
Male
46
1
47
1
1-2 Year
No
25,175
124
148
0
286,792
Male
42
1
8
0
1-2 Year
Yes
56,020
26
231
0
69,174
Female
76
0
39
0
1-2 Year
Yes
37,949
122
48
0
451,816
Female
55
1
28
1
1-2 Year
No
29,100
26
223
0
141,868
Female
27
1
29
1
< 1 Year
No
19,449
152
217
0
146,970
Male
45
1
28
1
1-2 Year
Yes
29,064
124
186
0
376,943
Male
45
1
2
0
1-2 Year
Yes
28,972
26
86
0
154,175
Male
24
1
6
0
< 1 Year
Yes
32,935
152
85
0
11,867
Male
48
1
28
0
1-2 Year
Yes
33,547
124
192
0
442,331
Female
48
1
28
0
1-2 Year
Yes
29,851
26
207
1
375,569
Female
52
1
8
0
1-2 Year
Yes
34,678
26
86
0
80,930
Female
64
1
50
1
1-2 Year
Yes
41,136
8
204
0
406,106
Male
20
1
30
1
< 1 Year
No
28,881
160
42
0
374,199
Male
60
1
28
1
1-2 Year
No
64,138
124
88
0
60,276
Male
50
1
41
1
1-2 Year
No
31,045
12
63
0
85,361
Male
22
1
7
1
< 1 Year
No
38,395
160
71
0
165,813
Female
22
1
8
1
< 1 Year
No
25,932
160
252
0
260,536
Female
44
1
46
0
1-2 Year
Yes
64,182
11
88
0