Datasets:
codesignal
/
imbalanced-data-practice

Dataset card Data Studio Files 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
171,354
Female
51
1
28
0
1-2 Year
Yes
51,138
150
56
0
266,407
Male
34
1
12
0
1-2 Year
Yes
27,472
124
140
0
97,129
Female
44
1
25
0
1-2 Year
Yes
29,384
154
71
0
363,639
Female
23
1
43
0
< 1 Year
Yes
38,900
152
159
0
217,170
Male
41
1
28
1
1-2 Year
No
31,076
26
63
0
326,863
Male
23
1
39
0
< 1 Year
Yes
51,831
152
75
0
93,818
Male
72
1
21
0
1-2 Year
No
29,982
26
236
0
307,167
Female
22
1
28
0
< 1 Year
Yes
73,848
158
13
0
284,630
Female
28
1
11
1
< 1 Year
No
23,918
152
191
0
149,214
Male
24
1
50
1
< 1 Year
No
47,185
152
102
0
215,808
Male
41
1
46
0
1-2 Year
No
26,449
26
291
0
109,953
Female
25
1
6
1
< 1 Year
No
23,153
152
212
0
325,145
Male
65
1
28
1
1-2 Year
No
28,679
26
125
0
295,714
Female
23
1
11
0
< 1 Year
Yes
53,167
152
161
0
344,687
Female
52
1
28
1
1-2 Year
Yes
44,773
122
238
0
265,481
Female
41
1
8
0
1-2 Year
Yes
42,796
124
96
0
62,746
Female
23
1
41
1
< 1 Year
No
36,704
152
17
0
125,454
Female
42
1
10
0
1-2 Year
Yes
2,630
156
192
0
302,462
Male
29
1
46
1
< 1 Year
No
31,383
152
297
0
95,550
Female
24
1
8
0
< 1 Year
No
25,697
152
121
0
86,368
Female
25
1
30
1
< 1 Year
No
38,950
152
211
0
205,886
Male
55
1
28
1
1-2 Year
No
29,510
124
117
0
148,592
Female
51
1
28
0
1-2 Year
Yes
27,237
26
117
1
90,177
Male
35
1
29
1
1-2 Year
No
25,757
13
47
0
496,821
Female
29
1
21
1
< 1 Year
No
40,073
152
148
0
311,611
Female
23
1
29
1
< 1 Year
No
28,520
152
115
0
269,935
Female
25
1
16
1
< 1 Year
Yes
2,630
156
60
0
121,110
Female
24
1
29
1
< 1 Year
No
56,889
152
184
0
125,271
Male
47
1
28
1
1-2 Year
No
45,811
26
284
0
259,292
Male
40
1
15
0
1-2 Year
Yes
35,862
124
83
0
359,539
Male
69
1
0
1
1-2 Year
Yes
2,630
26
228
0
105,989
Female
58
1
19
1
1-2 Year
No
27,207
156
116
0
97,864
Female
43
1
28
0
> 2 Years
Yes
2,630
125
174
0
304,427
Male
59
1
28
0
1-2 Year
Yes
2,630
124
89
0
22,065
Female
39
1
3
0
1-2 Year
Yes
21,836
26
104
0
115,021
Female
20
1
15
0
1-2 Year
Yes
2,630
156
272
1
206,163
Female
23
1
28
1
< 1 Year
No
36,865
152
231
0
423,090
Male
23
1
8
1
< 1 Year
No
52,862
152
216
0
22,159
Female
21
1
31
1
< 1 Year
No
2,630
160
74
0
311,336
Female
48
1
48
0
1-2 Year
Yes
2,630
124
203
0
138,193
Female
23
1
27
1
< 1 Year
No
21,517
152
280
0
99,074
Male
46
1
15
0
1-2 Year
No
39,786
152
67
0
304,413
Female
57
1
26
1
1-2 Year
Yes
26,363
22
212
0
322,176
Male
48
1
15
1
1-2 Year
No
2,630
124
33
0
28,651
Male
38
1
48
1
1-2 Year
No
2,630
15
94
0
1,202
Female
59
1
28
0
1-2 Year
Yes
37,871
26
127
0
88,932
Female
41
1
28
0
1-2 Year
Yes
50,621
122
135
1
157,648
Female
26
1
16
1
< 1 Year
No
2,630
152
77
0
160,796
Male
24
1
29
0
1-2 Year
No
35,287
124
148
0
166,950
Male
39
1
29
0
1-2 Year
Yes
2,630
26
52
1
489,967
Male
41
1
28
1
1-2 Year
No
2,630
124
254
0
2,021
Male
34
1
8
1
1-2 Year
No
38,970
29
196
0
438,736
Male
51
1
11
0
1-2 Year
Yes
36,901
26
239
1
329,354
Male
37
1
33
0
1-2 Year
Yes
28,242
26
190
0
249,827
Female
21
1
10
1
< 1 Year
No
30,485
152
151
0
268,078
Female
22
1
8
1
< 1 Year
No
43,565
160
73
0
246,350
Female
61
1
28
0
1-2 Year
Yes
49,424
124
233
0
308,955
Female
26
1
6
0
< 1 Year
Yes
2,630
160
139
1
421,998
Female
67
1
46
1
1-2 Year
No
34,564
11
40
0
65,129
Female
32
1
3
1
< 1 Year
No
20,300
152
118
0
461,719
Female
77
1
28
1
1-2 Year
No
73,366
26
165
0
168,263
Female
25
1
4
1
< 1 Year
No
32,313
152
152
0
71,832
Male
28
1
41
1
< 1 Year
No
36,323
152
119
0
84,772
Male
60
1
28
1
1-2 Year
No
22,055
124
268
0
292,186
Male
64
1
28
0
1-2 Year
Yes
34,981
26
47
0
343,735
Male
23
1
30
1
< 1 Year
No
2,630
26
284
0
288,516
Female
52
1
28
0
1-2 Year
Yes
75,029
124
222
0
320,222
Female
71
1
28
1
1-2 Year
No
38,151
26
144
0
414,762
Female
27
1
8
1
< 1 Year
No
37,375
152
63
0
35,513
Male
41
1
28
0
1-2 Year
Yes
31,252
122
94
0
447,270
Male
25
1
8
1
< 1 Year
No
33,062
160
259
0
240,661
Male
24
1
46
0
< 1 Year
Yes
33,284
160
276
0
245,680
Female
36
1
45
1
1-2 Year
No
27,777
152
217
0
382,224
Female
23
1
2
1
< 1 Year
No
30,494
151
65
0
45,524
Male
20
1
8
1
< 1 Year
No
2,630
160
286
0
322,257
Male
24
1
35
1
< 1 Year
No
27,191
152
277
0
160,788
Male
68
1
28
0
1-2 Year
Yes
47,961
26
291
0
19,936
Female
49
1
28
0
1-2 Year
Yes
49,190
26
27
0
48,715
Male
33
1
28
0
< 1 Year
Yes
59,268
124
164
0
243,404
Female
39
1
5
0
1-2 Year
No
38,068
124
158
0
61,093
Male
70
1
33
1
1-2 Year
No
34,135
124
178
0
88,875
Female
24
1
30
1
< 1 Year
No
28,710
152
125
0
274,518
Male
59
1
29
1
1-2 Year
No
30,273
124
256
0
164,928
Female
22
1
28
0
< 1 Year
Yes
43,384
152
130
0
423,616
Male
24
1
8
1
< 1 Year
No
43,335
152
246
0
130,071
Female
37
1
8
0
1-2 Year
Yes
28,148
157
19
0
160,543
Female
22
1
46
0
< 1 Year
Yes
23,218
160
58
0
499,039
Male
25
1
10
1
< 1 Year
No
18,101
152
270
0
134,080
Female
21
1
46
1
< 1 Year
No
21,430
160
22
0
263,575
Male
23
1
28
1
< 1 Year
No
59,214
152
124
0
59,681
Male
24
1
36
1
< 1 Year
No
31,060
152
56
0
334,226
Male
56
1
28
0
1-2 Year
Yes
28,664
26
186
0
40,598
Male
56
1
41
0
1-2 Year
Yes
27,925
124
49
0
147,877
Female
62
1
28
0
> 2 Years
Yes
31,997
52
198
0
75,100
Female
24
1
8
1
< 1 Year
No
23,331
152
35
0
114,160
Male
23
1
3
1
< 1 Year
No
17,965
152
41
0
404,484
Female
27
1
30
1
< 1 Year
No
34,148
152
246
0
132,707
Female
23
1
43
1
< 1 Year
No
18,061
152
208
0
129,480
Female
23
1
18
1
< 1 Year
No
29,860
152
206
0
177,268
Male
41
1
3
0
1-2 Year
Yes
25,021
155
264
1