Datasets:
MinaMila
/
GermanCredit_train_CDF_lr

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status of existing checking account_0 to less than 200 DM
int64
0
1
status of existing checking account_200 DM or more
int64
0
1
status of existing checking account_less than 0 DM
int64
0
1
status of existing checking account_no checking account
int64
0
1
purpose of credit_for business
int64
0
1
purpose of credit_for education
int64
0
1
purpose of credit_for other reasons
int64
0
1
purpose of credit_for repairs
int64
0
1
purpose of credit_for retraining
int64
0
1
purpose of credit_to buy a new car
int64
0
1
purpose of credit_to buy a radio or television
int64
0
1
purpose of credit_to buy a used car
int64
0
1
purpose of credit_to buy domestic appliances
int64
0
1
purpose of credit_to buy furniture or equipment
int64
0
1
sex_male
int64
0
1
housing_owned
int64
0
1
housing_provided for free
int64
0
1
housing_rented
int64
0
1
job status_manager, self-employed, or highly qualified
int64
0
1
job status_skilled worker or official
int64
0
1
job status_unemployed or unskilled (non-resident)
int64
0
1
job status_unskilled worker (resident)
int64
0
1
marital status_divorced / separated
int64
0
1
marital status_divorced / separated / married
int64
0
1
marital status_married / widowed
int64
0
1
marital status_single
int64
0
1
duration in months
int64
4
72
credit amount
int64
250
18.4k
age
int64
20
75
credit worthiness
int64
0
1
0
0
0
1
0
0
0
0
0
1
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0
0
0
0
0
1
0
1
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0
0
0
0
0
1
21
12,680
30
0
0
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1
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0
0
0
0
0
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1
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1
0
0
1
0
0
24
1,193
29
0
1
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0
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1
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0
0
0
0
0
0
1
0
1
0
0
1
0
0
0
0
0
1
60
6,288
42
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
1
0
0
1
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1
0
0
0
0
1
0
15
1,386
40
1
1
0
0
0
1
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
0
1
0
1
0
0
30
4,280
26
0
0
0
1
0
0
0
0
0
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0
1
0
0
0
1
1
0
0
0
1
0
0
0
0
1
0
24
1,024
48
0
0
0
1
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1
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0
0
0
0
1
1
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1
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0
21
2,606
28
1
0
0
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1
1
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0
0
0
0
0
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0
0
1
1
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0
1
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0
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0
1
0
0
12
1,412
29
1
0
1
0
0
0
0
0
0
0
0
1
0
0
0
0
1
0
0
0
1
0
0
0
0
0
1
10
1,347
27
1
0
0
0
1
0
0
0
0
0
0
1
0
0
0
1
1
0
0
0
1
0
0
0
0
0
1
30
5,954
38
1
0
1
0
0
0
0
0
0
0
0
1
0
0
0
0
1
0
0
0
1
0
0
1
0
0
0
9
1,126
49
1
0
0
0
1
0
0
0
0
0
1
0
0
0
0
1
0
0
1
0
1
0
0
0
0
0
1
6
1,204
35
1
0
0
1
0
0
0
0
0
0
1
0
0
0
0
1
1
0
0
0
0
0
1
0
0
0
1
21
3,763
24
1
0
0
1
0
0
1
0
0
0
0
0
0
0
0
1
0
1
0
0
1
0
0
0
1
0
0
6
1,198
35
0
0
0
1
0
0
0
0
0
0
0
1
0
0
0
0
1
0
0
0
1
0
0
0
1
0
0
48
6,758
31
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1
0
0
0
1
0
1
0
0
0
1
0
0
9
1,388
26
1
0
0
0
1
0
0
0
0
0
0
0
0
0
1
1
1
0
0
0
1
0
0
0
1
0
0
18
1,808
22
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
1
1
0
0
0
1
0
0
0
0
0
1
24
2,872
36
1
0
0
0
1
0
0
0
0
0
0
1
0
0
0
1
0
0
1
1
0
0
0
0
1
0
0
30
4,530
26
1
1
0
0
0
0
0
0
0
0
0
0
1
0
0
1
0
0
1
1
0
0
0
0
0
0
1
36
6,948
35
1
1
0
0
0
0
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0
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1
0
0
0
0
0
1
0
0
1
0
0
0
0
0
1
0
30
5,234
28
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
1
1
0
0
0
0
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1
0
1
0
0
12
1,228
24
0
0
0
1
0
0
0
0
0
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1
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0
0
0
1
0
0
0
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1
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0
0
1
12
709
57
0
0
0
1
0
0
0
0
0
0
0
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1
0
0
1
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1
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1
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0
0
0
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1
18
7,511
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0
0
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1
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1
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0
0
0
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0
1
0
0
1
0
0
0
0
0
1
14
3,973
22
1
0
1
0
0
0
0
0
0
0
0
1
0
0
0
1
1
0
0
1
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0
0
1
12
3,399
37
1
0
0
1
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0
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1
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0
0
0
0
0
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1
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1
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0
0
1
0
0
24
1,285
32
0
0
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1
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1
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0
0
1
1
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0
1
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0
0
0
0
0
1
27
3,416
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1
0
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1
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1
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1
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1
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0
0
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1
24
6,579
29
1
0
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1
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1
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1
1
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12
719
41
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1
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1
18
2,100
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1
10
1,231
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802
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1,271
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21
1,188
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48
4,605
24
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1
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72
5,595
24
0
0
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1
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36
9,271
24
0
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1
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1
1
0
0
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1
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0
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1
9
1,288
48
1
0
0
1
0
1
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0
0
0
0
0
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0
0
1
1
0
0
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1
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1
36
2,145
24
0
0
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1
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1
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1
1
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1
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18
1,028
36
1
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1
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12
1,413
55
1
1
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1
1
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1
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24
1,216
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1
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951
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3,384
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30
3,441
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1
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18
3,001
40
1
1
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4,297
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36
3,595
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1
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36
1,819
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21
3,414
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1
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24
1,216
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1
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15
6,850
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947
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30
3,441
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1
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10
2,210
25
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1
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1
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24
4,241
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1
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1
1
1
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8
1,237
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0
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1
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1
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1
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1
42
4,042
36
1
0
0
1
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1
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1
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1
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48
7,685
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1
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1
45
11,816
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1
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18
3,001
40
1
0
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1
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0
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1
1
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1
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1
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9
2,301
22
1
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1
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1
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15
1,271
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1
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24
1,216
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15
2,326
27
1
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1
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0
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1
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0
0
1
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1
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6
1,766
21
1
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1
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24
6,313
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1
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1
1
1
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0
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1
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1
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24
7,721
30
1
0
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1
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1
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0
1
1
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0
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1
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0
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1
12
2,390
50
1
1
0
0
0
0
0
0
0
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0
0
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1
0
1
0
0
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1
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48
9,960
26
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1
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24
1,249
28
1
1
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1
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1
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1
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1
7
2,415
34
1
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1
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12
3,386
35
0
0
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1
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1
24
4,042
43
1
1
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1
1
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1
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0
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48
18,424
32
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1
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1
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1
1
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1
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18
1,042
33
0
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1
1
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1
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15
5,045
59
1
1
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0
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1
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1
1
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1
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6
1,209
47
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24
4,241
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12
1,858
22
1
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1
1
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0
1
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1
0
0
0
1
0
0
30
3,622
57
1
0
0
1
0
0
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0
0
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1
1
0
0
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1
0
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1
24
4,817
31
0
0
1
0
0
1
0
0
0
0
0
0
0
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0
1
1
0
0
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1
0
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24
1,275
36
1
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1
0
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0
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1
30
3,017
47
1
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1
0
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0
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1
15
6,850
34
0
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9
745
28
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18
2,775
31
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1,237
24
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21
2,923
28
1
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1
48
12,169
36
1
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18
6,204
44
1
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18
1,473
39
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15
802
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24
2,892
51
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1,288
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2,825
34
1
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4,817
31
0
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6
428
49
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12
3,386
35
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