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
500,232
Female
39
1
33
1
1-2 Year
No
33,036
152
70
0
369,696
Male
26
1
28
1
< 1 Year
No
34,381
152
62
0
498,980
Male
45
1
2
0
1-2 Year
Yes
33,587
124
266
1
180,673
Male
47
1
28
0
1-2 Year
Yes
37,142
124
38
1
60,912
Female
23
1
41
1
< 1 Year
No
28,970
152
258
0
454,949
Female
23
1
5
1
< 1 Year
No
22,320
152
49
0
335,724
Male
53
1
28
1
1-2 Year
No
40,043
125
30
0
296,337
Male
48
1
28
0
1-2 Year
Yes
39,022
26
208
0
500,943
Female
39
1
46
0
1-2 Year
Yes
27,670
124
33
1
55,745
Female
59
1
30
0
1-2 Year
Yes
35,807
124
55
0
354,983
Female
42
1
28
0
1-2 Year
Yes
2,630
26
32
1
311,623
Male
30
1
35
1
< 1 Year
No
24,575
152
46
0
18,795
Male
59
1
9
0
1-2 Year
Yes
26,408
26
30
0
221,969
Female
41
1
28
0
1-2 Year
Yes
2,630
124
65
0
218,843
Male
45
1
8
1
1-2 Year
No
32,175
124
137
0
358,418
Male
36
1
15
1
1-2 Year
No
41,499
152
250
0
437,634
Male
34
1
37
0
1-2 Year
Yes
27,457
26
149
1
282,779
Female
43
1
37
0
1-2 Year
Yes
36,779
30
144
1
307,642
Male
66
1
30
0
1-2 Year
Yes
30,026
124
136
1
376,448
Male
37
1
45
1
1-2 Year
No
2,630
160
67
0
160,245
Female
34
1
35
0
1-2 Year
Yes
34,640
26
286
1
211,321
Female
51
1
28
1
1-2 Year
No
37,074
26
81
0
24,668
Male
22
1
18
1
< 1 Year
No
32,987
152
233
0
95,439
Male
26
1
28
0
< 1 Year
Yes
47,087
26
99
0
246,670
Male
42
1
38
0
1-2 Year
Yes
24,010
124
46
1
403,750
Female
46
1
8
0
1-2 Year
Yes
65,840
157
46
1
450,543
Female
42
1
41
0
1-2 Year
Yes
22,326
163
267
1
456,421
Male
31
1
28
0
1-2 Year
Yes
26,012
26
34
1
288,026
Male
65
1
46
0
> 2 Years
Yes
37,116
163
50
0
399,691
Female
27
1
18
1
< 1 Year
No
29,440
152
284
0
98,376
Male
49
1
33
0
1-2 Year
Yes
2,630
124
59
0
460,521
Female
29
1
28
1
< 1 Year
No
41,656
152
20
0
159,037
Female
72
1
8
1
1-2 Year
No
51,281
7
206
0
129,928
Male
36
1
18
0
1-2 Year
Yes
40,934
131
81
0
47,906
Male
24
1
14
1
< 1 Year
No
39,115
152
168
0
41,235
Female
25
1
28
1
< 1 Year
No
43,011
151
25
0
369,976
Male
21
1
8
1
< 1 Year
No
53,039
160
14
0
147,837
Female
45
1
28
0
1-2 Year
Yes
47,362
124
87
0
160,850
Male
37
1
28
0
1-2 Year
Yes
45,887
122
217
0
103,012
Female
39
1
28
0
1-2 Year
Yes
45,665
13
73
1
122,691
Female
40
1
43
0
1-2 Year
Yes
39,315
26
86
0
143,012
Female
29
1
46
0
< 1 Year
Yes
28,681
124
153
0
392,268
Male
23
1
28
1
< 1 Year
No
55,342
152
88
0
338,925
Male
27
1
18
1
< 1 Year
No
18,327
152
261
0
56,196
Female
24
1
50
1
< 1 Year
No
22,038
152
250
0
283,046
Male
31
1
15
1
< 1 Year
No
2,630
160
63
0
343,405
Male
61
1
41
1
1-2 Year
No
36,652
26
87
0
283,181
Male
41
1
28
0
1-2 Year
No
33,976
26
188
0
394,383
Male
63
1
28
1
1-2 Year
No
38,144
124
162
0
97,071
Male
64
1
50
0
> 2 Years
Yes
49,317
124
47
0
80,740
Female
30
1
6
1
< 1 Year
No
33,722
152
121
0
153,410
Female
34
1
18
0
1-2 Year
Yes
29,878
26
168
1
340,107
Male
36
1
15
0
1-2 Year
Yes
2,630
152
159
0
42,242
Male
49
1
38
0
1-2 Year
Yes
25,731
26
107
0
111,593
Female
21
1
46
1
< 1 Year
No
37,104
160
50
0
428,869
Female
43
1
47
1
1-2 Year
No
35,602
26
52
0
329,718
Male
32
1
28
0
1-2 Year
No
31,397
156
236
0
179,099
Male
24
1
23
1
1-2 Year
No
38,428
26
173
0
172,597
Female
51
1
28
1
1-2 Year
No
44,880
124
137
0
394,868
Male
32
1
30
1
< 1 Year
No
30,241
152
74
0
308,274
Male
51
1
36
0
1-2 Year
Yes
32,618
30
20
0
473,352
Male
41
1
28
1
1-2 Year
No
49,452
26
84
0
126,566
Male
25
1
41
1
< 1 Year
No
57,668
152
93
0
157,266
Female
69
1
28
0
1-2 Year
No
40,796
60
25
0
357,558
Male
48
1
28
1
1-2 Year
No
26,092
26
93
0
57,990
Male
34
1
6
0
1-2 Year
Yes
27,671
155
34
1
149,870
Male
37
1
30
0
1-2 Year
Yes
60,949
26
115
0
98,377
Male
24
1
43
1
< 1 Year
No
30,556
160
31
0
50,509
Female
24
1
21
1
< 1 Year
No
25,241
152
281
0
477,034
Male
32
1
12
1
< 1 Year
No
29,527
152
293
0
135,293
Male
37
1
39
0
1-2 Year
Yes
28,864
124
104
1
9,478
Male
36
1
28
0
1-2 Year
Yes
22,388
124
35
1
283,082
Female
23
1
14
1
< 1 Year
No
2,630
152
172
0
333,001
Male
35
1
15
0
1-2 Year
Yes
2,630
156
89
0
263,139
Male
51
1
8
1
1-2 Year
No
28,300
124
257
0
45,320
Female
28
1
36
1
< 1 Year
No
31,501
152
90
0
198,332
Male
26
1
18
0
< 1 Year
Yes
33,753
152
257
1
418,800
Male
21
1
33
1
< 1 Year
No
25,850
160
143
0
432,459
Female
54
1
35
1
1-2 Year
No
30,159
152
71
0
429,226
Male
23
1
3
1
< 1 Year
No
22,254
152
133
0
58,639
Male
23
1
23
1
< 1 Year
No
29,529
152
167
0
171,108
Female
24
1
30
1
< 1 Year
No
33,566
152
95
0
156,418
Female
23
1
29
1
< 1 Year
No
24,222
152
139
0
108,171
Male
21
1
36
0
< 1 Year
Yes
30,784
160
272
0
77,856
Female
27
1
14
1
< 1 Year
No
25,269
152
102
0
464,138
Female
21
1
15
1
< 1 Year
No
44,634
152
212
0
83,409
Male
24
1
2
1
< 1 Year
No
32,599
152
58
0
180,272
Male
24
1
8
0
< 1 Year
Yes
2,630
152
196
0
473,261
Male
29
1
0
1
1-2 Year
No
2,630
122
79
0
143,362
Female
42
1
18
1
1-2 Year
No
27,025
152
50
0
95,168
Male
31
1
50
0
< 1 Year
Yes
25,015
31
194
0
85,297
Male
24
1
41
0
1-2 Year
Yes
2,630
157
265
0
149,463
Female
24
1
36
1
< 1 Year
No
29,539
152
289
0
149,554
Male
23
1
6
0
< 1 Year
No
2,630
160
98
0
216,195
Female
39
1
28
0
1-2 Year
Yes
30,015
26
130
1
484,642
Male
44
1
46
0
1-2 Year
Yes
2,630
26
119
1
490,432
Male
61
1
41
1
1-2 Year
No
31,646
26
293
0
359,235
Female
25
1
41
1
< 1 Year
No
32,857
152
44
0
415,636
Female
62
1
8
1
1-2 Year
No
57,948
26
228
0
221,052
Male
43
1
41
0
1-2 Year
Yes
35,866
122
285
1