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
275,008
Female
59
1
21
0
1-2 Year
No
30,206
124
236
0
314,794
Male
24
1
41
1
< 1 Year
No
35,659
152
165
0
211,693
Female
70
1
28
0
> 2 Years
Yes
25,386
26
132
0
272,099
Female
53
1
28
0
1-2 Year
Yes
35,797
122
282
1
123,731
Female
40
1
26
0
1-2 Year
No
29,044
120
208
0
127,681
Female
31
1
9
0
1-2 Year
Yes
37,479
154
228
0
280,029
Male
70
1
11
0
1-2 Year
Yes
33,526
26
149
0
174,614
Male
37
1
46
0
1-2 Year
Yes
25,186
124
99
0
139,276
Male
42
1
12
0
1-2 Year
Yes
26,662
124
149
0
82,123
Male
22
1
25
0
< 1 Year
Yes
47,535
152
169
0
73,732
Male
44
1
28
0
1-2 Year
Yes
31,556
26
213
0
440,516
Female
37
1
29
0
1-2 Year
Yes
35,777
124
15
1
484,008
Male
25
1
33
1
< 1 Year
No
28,792
152
135
0
361,992
Male
51
1
47
1
1-2 Year
No
23,596
124
26
0
346,749
Female
44
1
30
0
1-2 Year
Yes
31,736
140
190
0
451,508
Male
24
1
8
1
< 1 Year
No
35,267
152
91
0
442,124
Female
41
1
28
0
1-2 Year
Yes
40,109
124
161
1
441,588
Male
24
1
47
1
< 1 Year
No
33,277
152
174
0
129,208
Male
42
1
28
0
1-2 Year
Yes
35,049
29
193
0
30,739
Female
27
1
28
1
< 1 Year
No
40,536
152
169
0
167,660
Male
64
1
41
0
1-2 Year
Yes
43,783
124
142
0
204,694
Female
57
1
28
0
1-2 Year
Yes
48,137
124
72
0
206,580
Male
67
1
46
1
1-2 Year
No
25,337
119
250
0
275,713
Male
23
1
43
0
< 1 Year
Yes
37,683
152
69
0
453,093
Female
25
1
30
1
< 1 Year
No
21,913
152
72
0
14,688
Female
21
1
30
1
< 1 Year
No
25,926
160
274
0
419,321
Male
29
1
30
1
< 1 Year
No
24,698
152
26
0
77,486
Male
62
1
28
0
1-2 Year
Yes
23,481
26
226
1
100,773
Male
21
1
14
0
< 1 Year
Yes
2,630
152
112
0
133,930
Female
36
1
4
0
1-2 Year
Yes
2,630
156
171
1
250,976
Male
63
1
28
0
> 2 Years
Yes
31,005
26
157
1
30,125
Female
66
1
28
0
1-2 Year
Yes
47,990
122
26
0
353,956
Male
71
1
28
1
1-2 Year
No
2,630
124
95
0
103,981
Female
23
1
2
0
< 1 Year
Yes
30,885
152
67
0
10,060
Male
25
1
50
1
< 1 Year
No
101,048
152
255
0
920
Male
42
1
8
1
1-2 Year
No
28,725
26
284
0
72,415
Female
68
1
28
1
1-2 Year
No
29,649
23
221
0
123,653
Female
23
1
50
0
< 1 Year
No
30,753
152
173
0
101,988
Female
55
1
3
1
1-2 Year
No
28,730
124
129
0
343,096
Male
34
1
11
0
1-2 Year
Yes
2,630
156
135
0
233,835
Male
61
1
28
0
> 2 Years
Yes
2,630
124
70
0
251,234
Female
26
1
6
1
< 1 Year
No
2,630
152
226
0
315,758
Female
72
1
15
1
1-2 Year
No
39,237
152
66
0
185,590
Male
25
1
37
1
< 1 Year
No
28,489
152
81
0
44,171
Male
38
1
8
1
1-2 Year
No
48,167
26
286
0
295,282
Male
21
1
17
1
< 1 Year
No
28,533
152
287
0
111,676
Male
30
1
27
0
< 1 Year
Yes
2,630
152
126
0
454,695
Female
22
1
28
1
< 1 Year
No
55,169
152
179
0
299,914
Female
26
1
10
1
< 1 Year
No
24,122
152
14
0
254,230
Female
21
1
32
0
< 1 Year
Yes
35,711
160
273
0
315,597
Male
71
1
28
1
1-2 Year
No
34,971
122
246
0
5,874
Female
47
1
9
0
1-2 Year
Yes
2,630
124
142
0
346,111
Female
24
1
15
1
< 1 Year
No
30,798
152
250
0
98,465
Male
52
1
28
0
1-2 Year
Yes
38,263
26
193
1
419,276
Female
67
1
28
1
1-2 Year
No
37,258
26
74
0
294,450
Male
29
1
21
1
< 1 Year
No
2,630
152
155
0
103,387
Male
57
1
8
0
> 2 Years
Yes
50,087
7
101
0
278,180
Male
24
1
47
1
< 1 Year
No
26,322
152
173
0
208,496
Female
24
1
8
1
< 1 Year
No
46,880
152
62
0
28,139
Male
28
1
37
0
< 1 Year
Yes
29,074
152
209
0
95,586
Male
58
1
28
0
1-2 Year
Yes
35,170
122
169
0
366,184
Male
43
1
28
0
1-2 Year
Yes
2,630
156
68
0
127,450
Male
31
1
26
1
< 1 Year
Yes
2,630
152
113
0
291,941
Female
59
1
18
0
1-2 Year
Yes
39,211
156
295
0
68,624
Male
26
1
46
0
< 1 Year
No
38,043
152
209
0
348,238
Female
25
1
45
1
< 1 Year
No
31,035
160
224
0
68,819
Male
45
1
28
0
1-2 Year
Yes
2,630
157
179
0
265,831
Male
65
1
28
0
> 2 Years
Yes
49,240
122
207
0
323,748
Male
44
1
46
1
1-2 Year
No
23,352
11
81
0
433,917
Male
40
1
11
0
1-2 Year
Yes
2,630
124
259
1
172,401
Female
55
1
29
0
1-2 Year
Yes
2,630
26
188
0
339,011
Male
48
1
28
0
> 2 Years
Yes
45,521
26
121
0
292,900
Female
46
1
47
0
1-2 Year
Yes
37,650
26
154
1
263,031
Female
53
1
28
0
> 2 Years
Yes
66,653
26
269
0
7,746
Male
27
1
8
1
< 1 Year
No
35,330
152
282
0
360,618
Female
64
1
33
0
1-2 Year
Yes
23,291
26
100
0
224,612
Male
57
1
14
0
1-2 Year
Yes
39,030
26
133
0
85,334
Male
30
1
30
1
< 1 Year
No
31,525
152
240
0
378,255
Male
25
1
50
1
< 1 Year
No
36,489
151
98
0
26,031
Female
57
1
8
0
> 2 Years
Yes
29,143
26
197
0
260,473
Female
38
1
48
0
1-2 Year
Yes
2,630
124
210
1
40,703
Female
23
1
8
0
< 1 Year
Yes
37,295
152
24
0
478,547
Male
45
1
28
0
1-2 Year
Yes
43,448
124
236
1
381,141
Male
71
1
28
1
1-2 Year
No
51,563
13
113
0
191,885
Female
22
1
6
1
< 1 Year
No
21,621
152
113
0
104,749
Male
22
1
46
0
< 1 Year
Yes
25,913
152
284
0
432,509
Female
23
1
28
1
< 1 Year
No
56,133
152
158
0
113,509
Male
23
1
8
1
< 1 Year
No
47,934
160
135
0
236,933
Female
29
1
3
0
1-2 Year
Yes
2,630
154
131
1
62,139
Male
60
1
38
0
1-2 Year
Yes
2,630
157
281
0
451,830
Male
44
1
28
0
> 2 Years
Yes
50,544
26
18
1
179,400
Female
24
1
30
1
< 1 Year
No
33,753
152
155
0
295,468
Female
42
1
8
0
1-2 Year
Yes
33,010
7
199
0
355,991
Female
42
1
28
0
1-2 Year
Yes
27,268
25
202
0
192,207
Female
60
1
50
1
1-2 Year
Yes
2,630
26
298
0
232,395
Male
56
1
46
0
> 2 Years
Yes
32,258
26
81
1
230,865
Male
35
1
36
0
1-2 Year
Yes
2,630
152
32
0
16,653
Male
46
1
28
0
1-2 Year
Yes
45,690
26
250
0
297,279
Female
21
1
3
1
< 1 Year
No
33,057
152
185
0
279,176
Female
39
1
28
0
1-2 Year
Yes
32,772
26
74
0