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
22,710
Male
24
1
28
1
< 1 Year
No
36,666
152
24
0
140,518
Male
48
1
42
0
1-2 Year
Yes
36,619
26
63
0
33,589
Male
28
1
41
1
< 1 Year
No
41,361
152
218
0
351,640
Female
22
1
36
0
< 1 Year
Yes
2,630
152
236
0
227,922
Female
23
1
6
1
< 1 Year
No
33,344
152
229
0
95,838
Female
22
1
6
0
< 1 Year
Yes
24,254
152
237
0
74,104
Male
25
1
35
0
< 1 Year
Yes
22,575
152
173
1
26,269
Male
53
1
1
0
1-2 Year
Yes
2,630
124
73
0
333,539
Female
24
1
46
1
< 1 Year
No
27,915
152
185
0
325,517
Female
30
1
21
1
< 1 Year
No
2,630
152
158
0
109,348
Male
23
1
8
1
< 1 Year
No
55,165
26
186
0
18,141
Female
24
1
28
1
< 1 Year
No
50,290
152
167
0
79,068
Female
23
1
50
1
< 1 Year
No
24,619
152
287
0
162,919
Male
50
1
28
0
1-2 Year
No
2,630
26
232
0
290,158
Male
28
1
41
1
< 1 Year
Yes
25,706
152
31
0
461,758
Male
67
1
28
1
1-2 Year
No
2,630
26
65
0
106,869
Male
37
1
17
0
1-2 Year
Yes
43,061
124
253
0
190,801
Male
78
1
28
0
1-2 Year
Yes
33,634
26
108
0
428,302
Female
35
1
8
0
1-2 Year
Yes
36,540
26
172
1
479,057
Female
43
1
28
0
1-2 Year
Yes
49,394
124
116
1
18,480
Male
24
1
29
1
< 1 Year
No
36,958
152
224
0
385,111
Female
55
1
19
0
1-2 Year
Yes
40,007
25
17
1
133,229
Male
55
1
20
0
1-2 Year
No
2,630
26
236
0
23,452
Female
22
1
30
1
< 1 Year
No
24,433
152
23
0
314,965
Female
47
1
28
1
1-2 Year
No
42,668
26
46
0
92,396
Female
35
1
8
0
1-2 Year
Yes
60,954
26
296
0
31,462
Female
64
1
8
1
1-2 Year
No
54,683
152
227
0
260,109
Female
49
1
28
0
1-2 Year
No
33,334
157
240
1
166,894
Male
75
1
30
0
1-2 Year
Yes
28,572
26
118
0
368,333
Male
42
1
8
0
1-2 Year
Yes
28,735
7
22
1
409,090
Male
24
1
2
1
< 1 Year
No
23,394
152
185
0
138,665
Male
23
1
46
1
< 1 Year
No
44,581
152
143
0
256,580
Female
38
1
28
0
1-2 Year
Yes
44,312
26
219
0
168,110
Female
25
1
29
1
< 1 Year
No
26,143
152
268
0
13,819
Male
49
1
28
0
1-2 Year
No
37,171
26
136
0
324,009
Female
43
1
28
0
1-2 Year
Yes
68,036
26
119
0
467,325
Female
64
0
50
1
1-2 Year
Yes
29,654
26
78
0
214,765
Female
27
1
15
0
< 1 Year
Yes
32,137
152
178
0
263,772
Male
23
1
36
1
< 1 Year
Yes
52,532
152
217
0
50,654
Male
23
1
8
0
< 1 Year
Yes
2,630
152
74
1
267,324
Female
41
1
13
1
1-2 Year
No
19,589
124
244
0
399,917
Female
24
1
15
1
< 1 Year
No
35,836
152
201
0
92,515
Female
22
1
28
0
< 1 Year
Yes
55,335
152
66
0
28,881
Female
26
1
14
1
< 1 Year
No
32,266
152
215
0
343,917
Male
49
1
36
0
1-2 Year
Yes
29,429
124
137
0
159,961
Female
63
1
8
0
1-2 Year
Yes
49,242
152
198
0
49,083
Male
27
1
50
1
< 1 Year
No
38,089
152
28
0
62,647
Male
70
1
46
0
1-2 Year
Yes
27,381
26
224
0
114,379
Female
25
1
37
0
< 1 Year
Yes
23,912
152
167
0
223,290
Female
41
1
41
0
1-2 Year
No
28,117
26
239
1
63,348
Male
33
1
31
0
1-2 Year
Yes
2,630
157
107
1
361,403
Female
46
1
41
0
1-2 Year
Yes
2,630
156
106
0
318,726
Male
43
1
28
1
1-2 Year
No
46,077
124
269
0
437,623
Male
30
1
30
1
< 1 Year
No
33,194
152
71
0
180,303
Female
54
1
8
0
1-2 Year
Yes
36,063
26
169
0
221,119
Female
61
1
3
0
1-2 Year
Yes
40,347
25
45
0
220,303
Female
49
1
28
0
1-2 Year
Yes
49,102
26
15
0
324,437
Male
52
1
30
1
1-2 Year
No
2,630
152
284
0
242,679
Male
24
1
28
0
< 1 Year
No
47,073
152
112
0
93,253
Female
23
1
10
0
< 1 Year
Yes
18,077
152
173
0
109,925
Female
30
1
46
1
< 1 Year
No
44,067
160
33
0
195,860
Female
68
1
48
1
1-2 Year
No
2,630
124
118
0
360,158
Female
23
1
11
1
< 1 Year
No
27,260
152
99
0
460,522
Female
42
1
28
0
1-2 Year
Yes
42,809
124
212
1
313,235
Female
51
1
28
0
1-2 Year
Yes
50,563
26
249
1
377,010
Male
21
1
28
0
1-2 Year
Yes
2,630
154
196
0
116,703
Male
39
1
38
0
1-2 Year
Yes
39,545
124
12
1
90,349
Female
52
1
28
0
1-2 Year
No
41,026
124
23
0
59,818
Female
46
1
11
1
1-2 Year
No
23,795
124
286
0
356,849
Female
45
1
28
0
1-2 Year
Yes
26,995
26
15
0
224,720
Male
30
1
28
0
< 1 Year
No
2,630
1
145
0
70,257
Female
39
1
46
0
1-2 Year
Yes
41,890
124
74
0
88,759
Male
41
1
36
0
1-2 Year
Yes
34,912
124
165
1
128,631
Male
48
1
8
0
> 2 Years
Yes
2,630
163
103
0
163,286
Male
49
1
41
0
> 2 Years
Yes
29,908
26
47
0
469,015
Female
39
1
41
0
1-2 Year
Yes
54,260
124
241
1
164,157
Female
40
1
29
0
1-2 Year
Yes
2,630
154
161
0
280,432
Male
31
1
47
0
< 1 Year
Yes
39,013
152
73
1
425,618
Male
42
1
28
1
1-2 Year
No
43,506
26
245
0
354,862
Male
58
1
28
0
> 2 Years
Yes
23,926
26
277
0
75,350
Male
55
1
8
0
1-2 Year
Yes
41,308
124
268
1
185,372
Male
28
1
15
1
< 1 Year
No
34,335
152
168
0
203,620
Female
21
1
46
1
< 1 Year
No
27,662
152
235
0
109,935
Female
54
1
30
1
1-2 Year
No
2,630
152
226
0
379,523
Male
45
1
28
0
> 2 Years
Yes
37,329
124
252
0
286,286
Female
61
1
28
1
1-2 Year
No
50,149
122
199
0
89,521
Male
64
1
48
0
1-2 Year
Yes
2,630
124
228
0
4,314
Female
33
1
46
1
1-2 Year
No
24,460
124
269
0
295,331
Female
24
1
10
0
< 1 Year
Yes
30,148
152
163
0
45,682
Male
23
1
6
1
< 1 Year
No
35,564
152
37
0
502,504
Male
79
1
28
1
1-2 Year
No
2,630
26
123
0
349,859
Female
32
1
14
1
< 1 Year
No
33,988
152
49
0
498,196
Male
45
1
28
0
1-2 Year
Yes
43,471
26
266
1
12,973
Male
22
1
30
1
< 1 Year
No
33,834
152
105
0
196,960
Female
59
1
15
0
1-2 Year
Yes
33,597
124
171
0
227,279
Male
66
1
46
1
1-2 Year
Yes
36,232
11
252
0
21,881
Female
25
1
13
1
< 1 Year
No
25,835
152
125
0
397,142
Female
24
1
33
1
< 1 Year
No
27,521
152
228
0
232,066
Female
24
1
8
1
< 1 Year
No
32,960
152
37
0
117,561
Female
22
1
18
1
< 1 Year
No
35,109
152
297
0