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
194,567
Male
55
1
35
0
1-2 Year
Yes
2,630
124
53
0
115,199
Male
29
1
38
0
1-2 Year
Yes
2,630
156
198
0
100,392
Female
24
1
8
1
< 1 Year
No
27,347
152
202
0
127,708
Male
53
1
28
1
1-2 Year
No
49,364
26
119
0
59,581
Female
79
1
28
1
1-2 Year
No
58,395
26
91
0
30,947
Male
45
1
28
1
1-2 Year
No
37,036
45
40
0
26,045
Female
24
1
36
1
< 1 Year
No
38,468
152
132
0
47,634
Female
25
1
11
1
< 1 Year
No
24,218
152
25
0
16,479
Female
53
1
29
0
1-2 Year
Yes
36,114
135
79
1
171,883
Male
24
1
21
1
< 1 Year
No
33,018
152
128
0
352,875
Female
45
1
28
0
1-2 Year
Yes
42,320
122
130
0
232,342
Female
28
1
46
1
< 1 Year
No
24,152
152
178
0
284,930
Female
21
1
49
1
< 1 Year
Yes
2,630
160
83
0
55,935
Male
62
1
8
0
> 2 Years
Yes
43,100
26
34
0
143,557
Female
46
1
8
0
1-2 Year
No
45,496
124
135
0
284,215
Male
22
1
28
0
< 1 Year
Yes
39,734
152
39
0
345,185
Female
24
1
32
1
< 1 Year
No
18,593
152
224
0
323,514
Female
26
1
11
0
< 1 Year
Yes
26,509
152
226
1
239,635
Female
25
1
21
1
< 1 Year
No
23,881
152
213
0
183,985
Female
75
1
8
0
> 2 Years
Yes
31,645
26
84
0
192,773
Male
23
1
8
0
< 1 Year
Yes
45,125
152
116
0
74,792
Female
41
1
29
0
1-2 Year
Yes
39,675
4
103
1
254,956
Male
52
1
28
0
1-2 Year
Yes
2,630
156
132
0
265,151
Female
27
1
46
1
< 1 Year
No
27,029
26
11
0
138,585
Male
43
1
8
0
1-2 Year
Yes
31,888
124
236
0
250,203
Female
22
1
50
1
< 1 Year
No
26,484
152
24
0
331,195
Female
54
1
28
0
1-2 Year
Yes
36,468
26
299
1
15,167
Female
29
1
28
1
< 1 Year
No
30,487
152
130
0
312,672
Male
44
1
30
1
1-2 Year
No
34,059
152
90
0
62,186
Male
67
1
28
0
1-2 Year
Yes
33,891
26
206
0
305,283
Male
33
1
24
0
< 1 Year
Yes
2,630
156
11
1
282,386
Male
46
1
6
0
> 2 Years
Yes
2,630
26
88
1
15,086
Female
51
1
15
0
1-2 Year
Yes
2,630
152
170
0
499,858
Female
58
1
28
1
1-2 Year
No
33,547
152
248
0
348,674
Female
23
1
28
1
< 1 Year
No
57,625
152
193
0
499,615
Male
39
1
28
0
1-2 Year
Yes
50,791
124
118
1
96,639
Female
22
1
2
1
< 1 Year
No
24,590
152
269
0
226,479
Male
44
1
14
1
1-2 Year
No
33,273
26
181
0
174,389
Female
28
1
29
1
< 1 Year
Yes
2,630
160
184
0
281,316
Female
48
1
8
0
1-2 Year
Yes
2,630
26
109
0
233,781
Male
22
1
45
0
< 1 Year
No
30,258
152
46
0
41,856
Male
29
1
36
1
< 1 Year
No
2,630
152
10
0
47,497
Male
59
1
8
0
1-2 Year
No
34,772
26
255
0
260,215
Male
37
1
28
1
1-2 Year
No
70,212
26
37
0
164,515
Male
29
1
6
1
< 1 Year
No
33,653
152
61
0
192,173
Female
27
1
14
1
< 1 Year
No
2,630
152
214
0
336,945
Female
54
1
48
1
1-2 Year
No
2,630
124
43
0
12,053
Female
27
1
35
1
< 1 Year
No
24,970
152
96
0
251,643
Male
50
1
28
0
> 2 Years
Yes
39,445
26
23
0
27,851
Male
39
1
28
1
1-2 Year
No
30,784
124
32
0
304,422
Male
20
1
46
0
< 1 Year
Yes
31,358
160
54
0
404,591
Female
24
1
43
1
< 1 Year
No
40,035
152
118
0
68,114
Female
24
1
3
1
< 1 Year
No
77,251
152
177
0
440,476
Male
46
1
28
0
> 2 Years
Yes
46,277
122
81
1
316,258
Male
28
1
6
1
< 1 Year
No
24,636
152
13
0
232,453
Female
25
1
29
1
< 1 Year
No
29,195
152
126
0
25,303
Female
24
1
11
0
< 1 Year
Yes
2,630
152
83
0
39,677
Male
26
1
15
1
< 1 Year
No
40,790
160
298
0
217,208
Female
22
1
28
0
< 1 Year
Yes
63,093
124
128
0
128,432
Female
21
1
10
0
< 1 Year
Yes
23,969
160
252
0
317,954
Female
30
1
8
0
< 1 Year
Yes
51,443
124
11
1
273,848
Female
54
1
28
0
1-2 Year
Yes
45,982
61
65
0
50,938
Female
21
1
25
1
< 1 Year
No
26,492
160
164
0
160,453
Female
34
1
3
0
1-2 Year
No
20,190
124
292
0
210,331
Female
45
1
28
0
1-2 Year
No
44,319
26
221
0
376,800
Female
36
1
28
0
1-2 Year
Yes
34,021
124
79
0
463,333
Female
24
1
8
1
< 1 Year
No
2,630
151
62
0
46,260
Female
25
1
30
1
< 1 Year
No
32,685
152
53
0
207,844
Male
42
1
32
0
1-2 Year
Yes
26,218
124
25
0
301,746
Female
37
1
41
0
1-2 Year
Yes
26,017
26
216
1
68,762
Male
23
1
9
1
< 1 Year
No
37,086
160
81
0
423,113
Male
25
1
21
1
< 1 Year
No
21,741
152
26
0
176,556
Female
53
1
28
1
1-2 Year
No
42,443
26
251
0
405,692
Female
26
1
2
1
< 1 Year
No
35,444
152
239
0
50,852
Female
39
1
28
0
1-2 Year
Yes
2,630
60
33
1
195,405
Female
63
1
28
0
1-2 Year
Yes
24,464
26
138
0
544
Male
57
1
28
0
1-2 Year
Yes
24,552
26
122
1
398,122
Male
75
1
28
1
1-2 Year
No
43,322
26
260
0
197,319
Male
22
1
41
1
< 1 Year
No
36,929
152
190
0
137,697
Male
24
1
50
0
< 1 Year
Yes
40,524
152
172
0
57,681
Female
27
1
50
1
< 1 Year
No
41,846
152
281
0
27,291
Female
30
1
37
1
< 1 Year
No
38,946
152
236
0
124,245
Male
31
1
28
0
< 1 Year
Yes
45,677
122
233
0
211,637
Male
22
1
15
1
< 1 Year
No
31,796
152
209
0
185,330
Male
25
1
34
1
1-2 Year
No
25,666
154
209
0
241,653
Male
74
1
2
1
1-2 Year
No
39,684
124
266
0
161,215
Female
24
1
40
1
< 1 Year
No
22,385
152
37
0
267,836
Male
62
1
28
0
1-2 Year
Yes
26,196
26
165
0
100,841
Male
44
1
28
0
1-2 Year
Yes
48,654
26
256
1
501,758
Female
54
1
15
1
1-2 Year
No
30,635
152
24
0
121,649
Male
25
1
30
1
< 1 Year
No
2,630
151
183
0
82,738
Female
49
1
24
1
1-2 Year
No
31,854
12
27
0
62,066
Female
29
1
29
0
< 1 Year
No
2,630
1
82
0
306,350
Male
22
1
25
1
< 1 Year
No
29,871
160
275
0
359,726
Male
46
1
47
0
1-2 Year
Yes
33,381
26
137
0
268,814
Male
25
1
3
0
< 1 Year
Yes
33,976
152
137
0
126,832
Male
43
1
28
0
1-2 Year
Yes
2,630
26
286
0
138,490
Male
41
1
8
0
1-2 Year
Yes
34,162
124
289
0
280,458
Female
29
1
8
1
< 1 Year
No
23,737
152
163
0
63,004
Male
41
1
28
0
1-2 Year
Yes
38,493
124
100
0