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Datasets:
pytorch-lifestream
/
alfa-scoring-bki

Tasks:
Tabular Classification
Modalities:
Tabular
Size:
10M - 100M
Tags:
finance
Dataset card Data Studio Files
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id
int64
rn
int64
pre_since_opened
int64
pre_since_confirmed
int64
pre_pterm
int64
pre_fterm
int64
pre_till_pclose
int64
pre_till_fclose
int64
pre_loans_credit_limit
int64
pre_loans_next_pay_summ
int64
pre_loans_outstanding
int64
pre_loans_total_overdue
int64
pre_loans_max_overdue_sum
int64
pre_loans_credit_cost_rate
int64
pre_loans5
int64
pre_loans530
int64
pre_loans3060
int64
pre_loans6090
int64
pre_loans90
int64
is_zero_loans5
int64
is_zero_loans530
int64
is_zero_loans3060
int64
is_zero_loans6090
int64
is_zero_loans90
int64
pre_util
int64
pre_over2limit
int64
pre_maxover2limit
int64
is_zero_util
int64
is_zero_over2limit
int64
is_zero_maxover2limit
int64
enc_paym_0
int64
enc_paym_1
int64
enc_paym_2
int64
enc_paym_3
int64
enc_paym_4
int64
enc_paym_5
int64
enc_paym_6
int64
enc_paym_7
int64
enc_paym_8
int64
enc_paym_9
int64
enc_paym_10
int64
enc_paym_11
int64
enc_paym_12
int64
enc_paym_13
int64
enc_paym_14
int64
enc_paym_15
int64
enc_paym_16
int64
enc_paym_17
int64
enc_paym_18
int64
enc_paym_19
int64
enc_paym_20
int64
enc_paym_21
int64
enc_paym_22
int64
enc_paym_23
int64
enc_paym_24
int64
enc_loans_account_holder_type
int64
enc_loans_credit_status
int64
enc_loans_credit_type
int64
enc_loans_account_cur
int64
pclose_flag
int64
fclose_flag
int64
3,000,000
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3
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1
1
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3
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3
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3
3
3
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3
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3
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3,000,003
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3
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1
1
1
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1
1
0
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3
3
3
3
3
3
3
3
3
4
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3
3
3
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3
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3
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3,000,003
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3
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7
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14
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1
1
1
1
1
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3
3
3
3
3
3
3
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3
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1
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3
3
3
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3
3
3
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3
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3
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1
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3,000,004
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1
1
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3
3
3
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3
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3,000,004
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11
2
7
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3
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1
1
1
1
1
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3,000,004
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8
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1
1
16
2
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1
1
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3
3
3
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3
3
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3,000,004
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8
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7
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3
1
0
0
3,000,007
11
2
3
7
6
15
14
16
2
3
0
2
2
6
16
5
4
8
1
1
1
1
1
16
2
17
1
1
1
0
0
0
0
0
0
0
0
3
3
3
4
3
3
3
3
3
3
3
3
4
3
3
3
4
1
3
3
1
0
0
3,000,007
12
2
17
16
9
2
15
0
2
3
0
2
13
6
16
5
4
8
1
1
1
1
1
16
2
17
1
1
1
0
0
0
3
3
3
3
3
3
3
3
4
3
3
3
3
3
3
3
3
4
3
3
3
4
1
3
4
1
0
0
3,000,007
13
2
1
9
1
2
4
2
2
3
0
2
13
6
16
5
4
8
1
0
1
1
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16
2
17
1
1
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0
0
0
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0
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0
0
0
0
0
1
3
3
3
3
3
3
3
3
4
3
3
3
4
1
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1
0
0
3,000,007
14
1
1
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8
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11
14
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3
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2
2
6
16
5
4
8
1
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4
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0
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3
3
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3
4
3
3
3
3
3
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3
3
4
3
3
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4
1
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6
1
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3,000,007
15
1
6
4
9
1
2
11
3
3
0
2
9
6
16
5
4
8
1
1
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16
2
17
1
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0
0
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0
0
0
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0
1
3
3
3
3
3
3
3
3
4
3
3
3
4
1
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0
3,000,007
16
1
5
13
2
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15
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3
0
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3
6
16
5
4
8
1
1
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2
17
1
1
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3
3
4
3
3
3
3
3
3
3
3
4
3
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4
1
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1
0
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17
19
0
3
5
7
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11
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3
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7
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4
8
1
1
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0
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3
3
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3
3
3
3
3
3
3
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4
3
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0
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3,000,007
18
19
6
4
5
1
2
11
4
3
0
2
5
6
16
5
4
8
1
1
1
1
1
16
2
17
1
1
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0
0
3
3
3
3
3
3
3
3
3
4
3
3
3
3
3
3
3
3
4
3
3
3
4
1
3
3
1
1
0
3,000,008
1
16
7
14
7
9
1
0
2
3
0
2
2
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16
5
4
8
1
0
1
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1
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1
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3,000,008
2
8
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1
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3
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3
3
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1
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1
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3
15
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13
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9
1
5
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2
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1
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4
15
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3,000,008
5
14
4
17
16
13
5
14
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0
2
2
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16
5
4
8
1
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17
1
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0
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0
0
0
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0
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0
1
1
3
4
1
0
0
3,000,008
6
14
4
15
8
6
11
7
2
3
0
2
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6
16
5
4
8
1
1
1
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17
1
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0
0
0
0
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1
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0
0
0
0
0
1
0
0
0
1
1
3
3
1
0
1
3,000,008
7
10
17
9
12
13
3
6
2
3
0
2
10
6
16
5
4
8
1
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2
17
1
1
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0
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1
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0
1
0
3
3
3
3
3
3
3
4
3
3
3
4
1
3
4
1
0
0
3,000,008
8
0
12
9
12
13
5
19
2
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0
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6
16
5
4
8
1
0
1
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2
17
1
1
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0
0
1
1
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3
3
3
3
3
3
3
4
3
3
3
4
1
3
4
1
0
0
3,000,008
9
13
11
11
16
16
7
14
2
3
0
2
2
6
13
5
4
8
1
0
1
1
1
16
2
17
1
1
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1
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0
1
1
0
0
1
1
0
0
1
1
0
0
0
1
0
0
0
1
1
3
4
1
0
0
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