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
417,596
Female
21
1
46
1
< 1 Year
No
28,389
160
76
0
437,686
Male
49
1
16
1
1-2 Year
No
26,034
124
187
0
39,797
Female
29
1
43
1
< 1 Year
No
2,630
1
259
0
403,041
Male
50
1
28
0
1-2 Year
Yes
33,048
122
251
1
233,406
Female
21
1
50
1
< 1 Year
No
21,999
152
255
0
103,320
Female
25
1
13
0
< 1 Year
Yes
38,172
152
220
0
348,462
Female
24
1
30
1
< 1 Year
No
40,681
152
15
0
1,905
Male
77
1
28
1
1-2 Year
Yes
50,747
26
263
0
41,688
Male
48
1
28
1
1-2 Year
No
42,430
124
106
0
256,534
Female
44
1
28
1
1-2 Year
No
40,039
26
88
0
218,011
Male
44
1
8
0
1-2 Year
No
34,841
124
50
0
317,428
Female
37
1
39
0
1-2 Year
Yes
45,962
156
130
0
326,413
Male
32
1
33
0
1-2 Year
No
2,630
156
246
0
473,482
Male
25
1
28
1
< 1 Year
No
50,075
152
90
0
388,219
Female
75
1
8
1
1-2 Year
No
2,630
30
82
0
11,949
Female
27
1
23
1
< 1 Year
No
47,326
152
123
0
74,534
Female
25
1
29
1
< 1 Year
No
39,316
152
259
0
224,735
Female
29
1
35
1
< 1 Year
No
29,000
152
67
0
73,365
Female
61
1
48
1
1-2 Year
No
2,630
124
196
0
85,092
Female
35
1
13
0
1-2 Year
Yes
28,994
124
82
0
303,869
Male
77
0
27
0
1-2 Year
Yes
27,424
26
283
0
137,049
Female
45
1
28
1
1-2 Year
No
38,029
26
40
0
251,080
Male
62
1
28
0
1-2 Year
Yes
49,532
13
22
0
56,333
Female
22
1
29
0
< 1 Year
Yes
35,910
152
178
0
259,161
Female
26
1
15
1
< 1 Year
No
32,364
152
258
0
296,869
Female
21
1
39
0
< 1 Year
Yes
37,839
160
236
1
60,146
Male
51
1
28
0
1-2 Year
Yes
50,217
111
292
0
31,227
Female
24
1
29
1
< 1 Year
No
36,075
152
288
0
59,878
Male
30
1
6
0
< 1 Year
No
23,308
152
134
0
186,980
Male
44
1
47
0
1-2 Year
Yes
38,510
124
49
0
267,029
Female
21
1
24
0
< 1 Year
Yes
37,187
152
274
0
274,554
Female
32
1
20
0
1-2 Year
Yes
2,630
26
59
1
90,656
Female
25
1
28
0
< 1 Year
Yes
28,015
152
210
0
112,914
Female
46
1
29
0
1-2 Year
Yes
2,630
26
264
0
288,293
Female
51
1
35
0
1-2 Year
No
2,630
156
107
0
386,920
Female
21
1
13
1
< 1 Year
No
14,271
152
71
0
447,139
Male
24
1
7
1
< 1 Year
No
2,630
160
207
0
103,832
Male
29
1
28
0
1-2 Year
Yes
23,719
13
232
1
465,575
Male
28
1
45
1
< 1 Year
No
30,983
152
45
0
274,134
Male
44
1
28
0
1-2 Year
Yes
39,253
13
58
1
23,994
Male
45
1
41
1
1-2 Year
No
22,094
152
150
0
478,900
Male
49
1
28
0
> 2 Years
Yes
27,119
26
57
1
293,562
Female
24
1
12
1
< 1 Year
No
34,483
152
44
0
305,871
Male
49
1
8
1
1-2 Year
No
53,764
26
160
0
83,835
Female
30
1
15
1
< 1 Year
No
2,630
152
47
0
220,855
Male
62
1
29
0
1-2 Year
Yes
39,719
26
62
0
162,317
Female
22
1
47
1
< 1 Year
No
31,464
152
89
0
250,744
Male
65
1
50
0
1-2 Year
No
42,500
8
155
0
303,035
Male
61
1
39
0
1-2 Year
Yes
2,630
157
246
0
345,160
Female
54
1
28
1
1-2 Year
No
37,701
26
136
0
152,501
Male
31
1
28
1
1-2 Year
No
21,063
60
34
0
506,734
Male
32
1
41
1
< 1 Year
No
23,204
152
260
0
292,179
Female
53
1
41
0
1-2 Year
Yes
2,630
12
178
0
256,543
Male
48
1
49
0
1-2 Year
Yes
29,726
154
184
1
242,140
Male
64
1
8
1
1-2 Year
No
41,607
124
62
0
341,325
Female
24
1
34
0
< 1 Year
Yes
2,630
152
152
0
212,467
Female
23
1
41
1
< 1 Year
No
22,474
152
131
0
475,184
Male
44
1
28
0
1-2 Year
Yes
37,035
122
264
1
163,502
Female
47
1
36
0
1-2 Year
Yes
2,630
26
86
0
56,255
Female
21
1
36
0
< 1 Year
Yes
35,355
152
85
0
18,261
Male
37
1
41
0
1-2 Year
Yes
36,323
152
162
0
370,161
Male
45
1
29
0
1-2 Year
Yes
2,630
124
157
0
367,925
Male
35
1
3
1
1-2 Year
No
24,695
152
282
0
183,709
Female
34
1
8
0
1-2 Year
Yes
2,630
152
99
0
400,750
Male
29
1
6
1
< 1 Year
No
22,855
152
232
0
375,730
Female
25
1
30
1
< 1 Year
No
36,648
152
94
0
332,036
Female
41
1
37
0
1-2 Year
Yes
30,708
26
208
0
378,098
Female
24
1
15
0
< 1 Year
No
37,395
152
245
0
80,240
Male
20
1
17
1
< 1 Year
No
36,358
160
298
0
315,535
Male
48
1
48
0
1-2 Year
Yes
2,630
124
254
0
280,249
Male
22
1
49
0
< 1 Year
Yes
32,733
152
276
0
182,350
Female
46
1
15
0
1-2 Year
Yes
42,287
124
191
0
482,113
Male
24
1
15
1
< 1 Year
No
37,117
152
242
0
334,007
Female
51
1
41
1
1-2 Year
No
24,965
26
29
0
193,161
Male
24
1
6
1
< 1 Year
No
24,636
152
104
0
269,485
Female
53
1
32
0
1-2 Year
Yes
28,871
154
49
0
264,921
Male
39
1
4
1
1-2 Year
No
39,058
155
62
0
366,089
Male
25
1
30
0
< 1 Year
Yes
2,630
152
231
0
145,850
Male
43
1
8
0
1-2 Year
Yes
2,630
157
249
0
255,741
Female
70
0
28
0
1-2 Year
No
50,291
122
15
0
345,106
Female
22
1
10
1
< 1 Year
No
24,010
152
233
0
128,155
Male
39
1
28
0
1-2 Year
Yes
45,743
124
186
0
378,553
Female
58
1
28
0
1-2 Year
Yes
2,630
26
43
0
420,619
Female
23
1
41
1
< 1 Year
No
20,693
152
79
0
179,717
Male
26
1
41
0
1-2 Year
Yes
2,630
124
119
0
233,076
Female
72
1
28
1
1-2 Year
No
51,899
124
167
0
352,526
Male
43
1
28
0
1-2 Year
Yes
40,956
26
214
1
144,366
Male
24
1
45
0
< 1 Year
Yes
18,344
152
271
0
331,576
Female
44
1
28
0
1-2 Year
Yes
56,584
124
44
0
447,946
Male
27
1
28
1
< 1 Year
No
48,968
152
283
0
247,578
Female
36
1
28
0
1-2 Year
Yes
64,562
11
249
0
29,435
Male
50
1
36
0
1-2 Year
Yes
45,862
124
104
1
185,806
Male
20
1
17
0
< 1 Year
Yes
2,630
160
123
0
195,887
Male
24
1
8
1
< 1 Year
No
32,626
152
174
0
221,996
Male
45
1
29
1
1-2 Year
No
29,403
26
110
0
151,705
Female
64
1
9
1
1-2 Year
No
28,499
26
81
0
334,515
Female
25
1
30
1
< 1 Year
No
28,454
160
129
0
173,012
Male
22
1
15
0
< 1 Year
Yes
42,752
26
214
0
425,081
Female
21
1
15
1
< 1 Year
No
29,931
152
267
0
462,074
Male
39
1
11
0
1-2 Year
Yes
2,630
154
216
1