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
86,780
Female
38
1
47
1
1-2 Year
Yes
27,727
26
81
0
43,595
Male
25
1
46
1
< 1 Year
No
23,945
152
20
0
317,748
Female
23
1
30
1
< 1 Year
No
22,735
152
139
0
172,513
Female
52
1
40
0
1-2 Year
Yes
23,420
26
220
1
76,551
Female
78
1
46
0
1-2 Year
Yes
30,816
152
106
0
44,316
Male
59
1
7
0
1-2 Year
Yes
2,630
124
21
0
242,236
Female
56
1
8
0
1-2 Year
Yes
2,630
26
55
0
96,140
Male
65
1
41
0
> 2 Years
Yes
39,182
3
280
0
303,171
Male
20
1
40
0
< 1 Year
Yes
2,630
160
162
0
363,011
Female
46
1
33
0
1-2 Year
Yes
30,948
26
35
0
230,760
Male
23
1
28
1
< 1 Year
No
31,693
151
170
0
184,311
Female
51
1
28
0
1-2 Year
Yes
30,000
26
12
1
143,643
Male
63
1
1
1
1-2 Year
No
2,630
124
191
0
332,596
Male
32
1
28
0
< 1 Year
Yes
50,334
124
97
1
95,594
Male
43
1
28
0
1-2 Year
Yes
37,192
124
131
1
263,101
Male
46
1
2
0
1-2 Year
Yes
2,630
155
145
1
106,058
Male
39
1
8
0
1-2 Year
No
67,951
26
136
0
486,044
Female
27
1
41
1
< 1 Year
No
36,352
152
174
0
181,523
Male
47
1
8
0
1-2 Year
Yes
2,630
4
109
0
211,160
Male
28
1
12
0
< 1 Year
Yes
2,630
152
248
0
391,306
Female
24
1
29
1
< 1 Year
No
21,295
152
147
0
195,141
Female
30
1
16
1
< 1 Year
No
25,272
152
251
0
443,651
Female
26
1
28
1
< 1 Year
No
30,749
152
73
0
479,924
Male
24
1
8
1
< 1 Year
No
57,542
152
160
0
207,830
Female
25
1
44
1
< 1 Year
No
28,456
152
264
0
46,494
Female
24
1
30
1
< 1 Year
No
27,393
152
110
0
189,137
Male
51
1
46
0
1-2 Year
Yes
2,630
156
134
0
19,038
Male
23
1
6
1
< 1 Year
No
22,431
152
67
0
8,404
Female
46
1
28
0
1-2 Year
Yes
42,103
25
24
1
316,977
Male
21
1
28
0
< 1 Year
Yes
41,359
124
34
0
143,030
Male
30
1
12
0
< 1 Year
Yes
25,183
152
236
0
264,406
Female
63
1
8
0
1-2 Year
Yes
53,760
124
196
0
146,053
Male
53
1
28
1
1-2 Year
No
24,477
26
241
0
223,305
Male
24
1
15
0
< 1 Year
No
2,630
152
42
0
130,049
Female
53
1
28
0
1-2 Year
Yes
46,688
26
248
0
63,416
Male
37
1
10
0
1-2 Year
Yes
39,721
26
291
1
347,632
Male
54
1
28
0
1-2 Year
Yes
55,139
122
295
1
197,013
Male
76
1
24
0
1-2 Year
No
33,742
26
49
0
236,838
Female
32
1
28
1
< 1 Year
No
38,605
152
225
0
148,678
Female
36
1
35
0
1-2 Year
Yes
23,061
10
66
0
242,953
Male
41
1
0
0
1-2 Year
Yes
2,630
13
33
0
182,278
Male
21
1
15
1
< 1 Year
Yes
35,398
160
296
0
214,914
Male
34
1
29
0
1-2 Year
Yes
34,655
124
291
1
139,975
Female
72
1
28
1
1-2 Year
No
50,014
13
96
0
337,813
Male
65
1
39
0
1-2 Year
Yes
45,250
122
249
0
402,194
Female
36
1
21
0
1-2 Year
Yes
2,630
124
194
1
91,805
Male
58
1
3
1
1-2 Year
No
27,960
26
45
0
373,923
Female
26
1
8
0
< 1 Year
No
2,630
152
152
0
314,606
Female
40
1
28
0
1-2 Year
Yes
26,144
13
176
1
320,621
Female
26
1
8
1
< 1 Year
No
49,451
152
10
0
137,589
Male
49
1
28
0
> 2 Years
Yes
55,189
26
299
1
252,252
Male
67
1
28
0
1-2 Year
Yes
39,249
124
111
0
109,353
Male
24
1
8
1
< 1 Year
No
46,910
152
195
0
159,854
Male
63
1
33
0
1-2 Year
Yes
30,958
124
153
0
85,754
Male
23
1
25
0
< 1 Year
No
28,115
152
110
0
335,278
Male
43
1
28
0
1-2 Year
Yes
45,086
26
244
0
464,130
Female
26
1
6
1
< 1 Year
No
16,706
152
234
0
153,780
Male
54
1
34
0
1-2 Year
Yes
28,352
124
138
0
66,072
Male
46
1
30
0
1-2 Year
Yes
25,149
124
98
1
199,557
Male
27
1
45
1
1-2 Year
No
19,955
124
104
0
118,188
Male
49
1
32
0
1-2 Year
Yes
32,546
124
177
1
400,531
Male
24
1
33
1
< 1 Year
No
25,756
152
136
0
34,750
Female
28
1
3
1
< 1 Year
No
35,605
152
136
0
229,749
Male
64
1
26
0
1-2 Year
Yes
37,837
26
39
0
272,789
Male
31
1
6
0
1-2 Year
Yes
2,630
156
221
0
198,611
Male
40
1
28
0
1-2 Year
Yes
25,046
26
108
0
151,144
Female
22
1
30
1
< 1 Year
No
29,456
152
83
0
185,580
Female
39
1
14
1
1-2 Year
No
25,423
152
250
0
89,758
Female
24
1
41
0
< 1 Year
Yes
27,705
152
293
0
69,533
Female
45
1
28
1
1-2 Year
No
47,525
26
254
0
356,292
Male
24
1
28
1
1-2 Year
Yes
2,630
156
226
0
1,607
Female
42
1
28
1
1-2 Year
No
29,656
124
228
0
344,116
Female
33
1
33
0
< 1 Year
No
40,826
152
133
0
337,987
Female
58
1
28
0
1-2 Year
Yes
37,197
26
79
0
41,380
Male
26
1
28
1
< 1 Year
No
42,783
152
199
0
413,541
Male
21
1
43
1
< 1 Year
No
16,220
152
265
0
361,220
Male
44
1
48
0
1-2 Year
Yes
2,630
15
142
0
116,428
Female
42
1
28
1
1-2 Year
No
25,868
124
201
0
222,646
Female
37
1
15
0
1-2 Year
Yes
2,630
26
24
0
485,107
Female
23
1
50
1
< 1 Year
No
22,633
152
221
0
343,706
Male
52
1
41
1
1-2 Year
No
26,536
124
161
0
244,454
Male
51
1
28
1
1-2 Year
No
2,630
26
200
0
226,417
Male
26
1
8
0
< 1 Year
Yes
2,630
152
88
0
247,761
Female
23
1
45
0
< 1 Year
No
27,766
151
59
0
325,841
Male
58
1
30
0
1-2 Year
Yes
29,333
124
159
0
194,924
Male
48
1
28
0
1-2 Year
Yes
36,106
124
262
0
99,520
Male
51
1
29
0
1-2 Year
Yes
23,224
124
123
1
98,486
Female
50
1
47
1
1-2 Year
No
33,260
152
43
0
246,186
Female
29
1
35
1
< 1 Year
No
40,396
152
226
0
426,982
Female
25
1
45
1
< 1 Year
No
33,260
152
24
0
154,847
Male
33
1
35
1
< 1 Year
No
33,185
152
255
0
252,712
Female
22
1
11
1
< 1 Year
No
34,158
152
103
0
256,079
Female
47
1
50
1
1-2 Year
No
2,630
8
162
0
7,813
Male
49
1
39
0
1-2 Year
Yes
45,175
26
209
0
90,872
Female
48
1
29
1
1-2 Year
No
35,097
26
112
0
75,779
Male
70
1
6
0
> 2 Years
Yes
2,630
154
113
0
404,440
Female
45
1
29
0
1-2 Year
Yes
39,442
26
281
1
55,384
Female
28
1
29
1
< 1 Year
No
38,858
152
128
0
325,102
Female
27
1
44
1
< 1 Year
No
2,630
152
47
0
368,127
Male
58
1
41
0
1-2 Year
No
32,508
26
249
0