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
133,580
Male
20
1
41
0
< 1 Year
Yes
18,818
160
150
0
102,088
Male
21
1
2
0
< 1 Year
Yes
35,685
160
224
0
279,861
Male
23
1
21
1
< 1 Year
No
28,544
152
195
0
336,735
Male
20
1
6
0
< 1 Year
Yes
25,799
160
143
0
374,999
Female
58
1
47
0
1-2 Year
Yes
45,277
152
95
0
448,188
Female
25
1
41
1
< 1 Year
No
30,870
152
48
0
169,130
Male
31
1
28
0
< 1 Year
Yes
31,109
152
231
0
3,357
Female
26
1
32
1
< 1 Year
No
32,208
152
59
0
317,191
Male
39
1
50
1
1-2 Year
No
2,630
156
57
0
48,417
Female
23
1
23
1
< 1 Year
No
28,734
152
189
0
12,520
Male
71
1
8
0
1-2 Year
Yes
49,796
19
90
0
451,237
Female
25
1
28
1
< 1 Year
No
39,765
152
149
0
81,020
Female
28
1
46
0
1-2 Year
Yes
2,630
157
77
1
175,555
Female
40
1
29
1
1-2 Year
Yes
2,630
156
201
0
360,902
Male
21
1
30
0
< 1 Year
Yes
27,388
160
83
0
249,704
Female
30
1
28
0
< 1 Year
Yes
37,350
156
105
0
178,234
Female
36
1
12
0
1-2 Year
Yes
45,634
124
26
1
26,164
Male
24
1
50
0
1-2 Year
No
2,630
156
36
0
306,845
Male
52
1
28
0
1-2 Year
Yes
36,636
26
289
1
318,005
Male
67
1
41
1
1-2 Year
No
38,091
26
278
0
204,748
Female
22
1
15
0
< 1 Year
Yes
38,506
152
61
0
376,680
Female
20
1
28
1
1-2 Year
No
25,257
158
53
0
27,606
Male
27
1
28
1
< 1 Year
No
33,916
152
90
0
363,347
Male
42
1
28
0
1-2 Year
Yes
31,876
124
259
0
187,501
Female
46
1
28
0
1-2 Year
Yes
43,075
124
71
1
133,989
Male
28
1
16
0
< 1 Year
Yes
32,896
152
138
1
438,391
Male
23
1
10
1
< 1 Year
No
17,499
152
232
0
497,714
Female
41
1
8
0
1-2 Year
Yes
32,949
124
293
1
20,329
Female
24
1
40
0
< 1 Year
Yes
49,727
152
179
0
2,214
Male
48
1
28
0
1-2 Year
Yes
30,026
125
42
0
291,755
Male
50
1
28
0
> 2 Years
Yes
47,647
124
227
0
73,788
Male
26
1
41
1
< 1 Year
No
33,279
152
242
0
290,198
Female
33
1
28
0
1-2 Year
Yes
27,149
154
41
0
318,757
Male
44
1
28
1
1-2 Year
No
34,241
124
66
0
273,841
Female
25
1
41
1
< 1 Year
No
24,454
152
213
0
118,627
Female
27
1
3
1
< 1 Year
No
22,523
152
216
0
133,714
Male
43
1
28
0
1-2 Year
Yes
38,548
124
110
1
33,546
Female
75
1
28
1
1-2 Year
No
199,996
122
196
0
73,222
Male
43
1
28
1
1-2 Year
No
2,630
124
76
0
269,180
Male
53
1
28
0
1-2 Year
Yes
43,936
26
14
1
442,565
Male
51
1
46
1
1-2 Year
No
35,349
91
198
0
13,680
Male
62
1
39
0
1-2 Year
Yes
2,630
163
151
0
106,579
Male
57
1
28
0
1-2 Year
Yes
54,322
26
158
0
435,788
Female
43
1
8
0
1-2 Year
Yes
64,406
26
291
1
65,991
Female
25
1
8
1
< 1 Year
No
34,460
152
152
0
320,733
Male
62
1
14
0
1-2 Year
Yes
33,976
124
271
0
310,905
Male
25
1
11
1
< 1 Year
No
35,614
152
32
0
110,551
Male
20
1
13
1
< 1 Year
No
21,043
160
158
0
56,994
Male
50
1
46
0
1-2 Year
Yes
29,047
26
296
0
57,592
Male
41
1
8
1
1-2 Year
No
40,708
124
89
0
106,686
Male
50
1
28
0
1-2 Year
Yes
25,991
26
174
0
53,944
Female
36
1
8
1
1-2 Year
No
35,429
152
136
0
223,489
Male
39
1
28
0
1-2 Year
Yes
47,975
26
212
1
483,330
Female
70
1
46
1
1-2 Year
No
37,063
26
171
0
478,126
Male
22
1
6
1
< 1 Year
No
31,998
152
212
0
386,233
Male
43
1
41
1
1-2 Year
No
36,683
124
235
0
14,907
Male
28
1
37
1
< 1 Year
No
37,298
152
247
0
208,438
Female
22
1
28
1
< 1 Year
No
45,594
152
175
0
199,176
Female
22
1
8
1
< 1 Year
No
45,036
152
245
0
203,715
Male
71
1
30
0
1-2 Year
Yes
35,006
26
263
0
334,315
Male
33
1
3
1
< 1 Year
No
33,572
152
158
1
12,901
Female
50
1
8
0
1-2 Year
Yes
2,630
157
77
0
346,360
Male
44
1
28
0
1-2 Year
Yes
44,119
124
119
1
472,191
Male
50
1
28
0
1-2 Year
Yes
29,158
26
217
1
319,769
Female
23
1
6
1
< 1 Year
No
2,630
152
268
0
64,004
Male
21
1
36
1
< 1 Year
No
2,630
160
206
0
398,385
Female
34
1
37
0
> 2 Years
Yes
27,032
124
203
1
321,840
Female
76
1
45
0
1-2 Year
Yes
33,222
124
294
0
499,278
Female
25
1
13
1
< 1 Year
No
21,305
152
215
0
263,329
Male
20
1
15
0
< 1 Year
Yes
48,613
160
252
0
141,331
Female
61
1
20
0
1-2 Year
Yes
2,630
124
41
0
114,615
Female
36
1
28
1
1-2 Year
No
43,127
26
135
0
396,967
Female
24
1
34
1
< 1 Year
No
26,211
152
213
0
480,828
Female
24
1
45
1
< 1 Year
No
44,009
152
190
0
36,020
Male
49
1
28
0
1-2 Year
Yes
45,179
124
229
0
64,428
Male
62
1
8
1
1-2 Year
No
46,007
7
177
0
296,422
Male
32
1
50
1
< 1 Year
No
38,397
152
59
0
448,557
Female
57
1
32
0
1-2 Year
Yes
26,029
26
18
1
116,912
Male
51
1
28
0
1-2 Year
Yes
31,800
124
98
0
230,884
Male
40
1
20
0
1-2 Year
Yes
2,630
157
15
1
334,327
Male
62
1
3
0
1-2 Year
Yes
2,630
156
113
0
363,048
Male
30
1
3
0
< 1 Year
Yes
30,691
152
83
1
419,192
Female
23
1
28
1
< 1 Year
No
59,801
152
233
0
300,128
Female
26
1
2
1
< 1 Year
No
31,353
152
239
0
114,536
Male
61
1
50
1
1-2 Year
No
30,563
124
117
0
256,334
Female
41
1
28
1
1-2 Year
No
34,644
124
196
0
143,797
Female
23
1
28
0
1-2 Year
Yes
44,680
124
238
0
26,688
Male
74
1
17
1
1-2 Year
No
38,165
26
22
0
208,719
Female
28
1
9
1
< 1 Year
No
39,332
152
297
0
130,140
Male
67
1
28
1
1-2 Year
Yes
2,630
26
118
0
153,322
Male
43
1
8
0
1-2 Year
Yes
53,342
124
194
0
184,378
Female
43
1
28
0
1-2 Year
Yes
44,712
124
28
0
250,838
Female
22
1
15
1
< 1 Year
No
25,915
160
101
0
392,651
Female
44
1
28
1
1-2 Year
No
41,491
139
121
0
271,639
Female
23
1
40
0
< 1 Year
Yes
40,259
152
85
0
67,246
Male
58
1
28
1
1-2 Year
No
2,630
156
212
0
252,251
Male
62
1
28
0
> 2 Years
Yes
36,267
26
165
0
291,714
Male
56
1
45
0
1-2 Year
Yes
37,166
26
50
0
412,910
Female
39
1
28
0
1-2 Year
Yes
25,436
124
87
1
501,966
Male
46
1
28
0
1-2 Year
Yes
2,630
26
296
1