vitaliykinakh/binary-ddpm-tabular
Updated
RiskPerformance
stringclasses 2
values | ExternalRiskEstimate
int64 -9
93
| MSinceOldestTradeOpen
int64 -9
789
| MSinceMostRecentTradeOpen
int64 -9
383
| AverageMInFile
int64 -9
383
| NumSatisfactoryTrades
int64 -9
79
| NumTrades60Ever2DerogPubRec
int64 -9
19
| NumTrades90Ever2DerogPubRec
int64 -9
19
| PercentTradesNeverDelq
int64 -9
100
| MSinceMostRecentDelq
int64 -9
83
| MaxDelq2PublicRecLast12M
int64 -9
9
| MaxDelqEver
int64 -9
8
| NumTotalTrades
int64 -9
104
| NumTradesOpeninLast12M
int64 -9
19
| PercentInstallTrades
int64 -9
100
| MSinceMostRecentInqexcl7days
int64 -9
24
| NumInqLast6M
int64 -9
66
| NumInqLast6Mexcl7days
int64 -9
66
| NetFractionRevolvingBurden
int64 -9
232
| NetFractionInstallBurden
int64 -9
196
| NumRevolvingTradesWBalance
int64 -9
27
| NumInstallTradesWBalance
int64 -9
23
| NumBank2NatlTradesWHighUtilization
int64 -9
16
| PercentTradesWBalance
int64 -9
100
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Good | 81 | 6 | 1 | 86 | 32 | 0 | 0 | 100 | -7 | 7 | 8 | 3 | 3 | 33 | 5 | 1 | 1 | 18 | 92 | 5 | 2 | 1 | 47 |
Good | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 |
Bad | 61 | 92 | 9 | 86 | 25 | 0 | 0 | 96 | 6 | 4 | 6 | 30 | 1 | 44 | 1 | 2 | 2 | 65 | 86 | 5 | 3 | 3 | 100 |
Good | 87 | 210 | 19 | 110 | 8 | 0 | 0 | 100 | -7 | 7 | 8 | 10 | 0 | 50 | 18 | 0 | 0 | 19 | -8 | 2 | 1 | 0 | 60 |
Bad | 77 | 137 | 20 | 68 | 17 | 0 | 0 | 100 | -7 | 7 | 8 | 18 | 0 | 17 | 0 | 5 | 4 | 48 | -8 | 2 | 1 | 1 | 60 |
Good | 83 | 262 | 3 | 115 | 19 | 0 | 0 | 100 | -7 | 7 | 8 | 20 | 1 | 45 | 2 | 3 | 3 | 31 | 66 | 2 | 3 | 0 | 56 |
Bad | 82 | 367 | 1 | 90 | 26 | 0 | 0 | 96 | 40 | 6 | 6 | 28 | 3 | 14 | 3 | 2 | 2 | 1 | -8 | 5 | -8 | 0 | 45 |
Bad | 77 | 140 | 2 | 73 | 15 | 0 | 0 | 88 | 12 | 6 | 6 | 17 | 2 | 53 | 0 | 1 | 1 | 17 | 64 | 2 | 4 | -8 | 67 |
Bad | 67 | 194 | 5 | 80 | 17 | 0 | 0 | 94 | 2 | 4 | 6 | 17 | 1 | 41 | 3 | 1 | 1 | 30 | 49 | 1 | 4 | 1 | 71 |
Good | 73 | 223 | 23 | 99 | 22 | 0 | 0 | 91 | 9 | 4 | 6 | 23 | 0 | 35 | 4 | 1 | 1 | 6 | 65 | 6 | 2 | 0 | 80 |
Bad | 73 | 379 | 1 | 129 | 23 | 4 | 3 | 86 | 42 | 6 | 2 | 29 | 1 | 52 | 0 | 3 | 3 | 33 | -8 | 7 | 2 | 1 | 69 |
Good | 70 | 142 | 2 | 56 | 17 | 1 | 0 | 89 | 34 | 6 | 5 | 19 | 2 | 37 | 2 | 1 | 1 | 52 | 63 | 4 | 3 | 2 | 67 |
Bad | 67 | 124 | 2 | 53 | 18 | 0 | 0 | 89 | 6 | 4 | 6 | 20 | 1 | 47 | 2 | 3 | 3 | 30 | 58 | 5 | 2 | 1 | 100 |
Bad | 80 | 446 | 20 | 103 | 27 | 0 | 0 | 100 | -7 | 7 | 8 | 28 | 0 | 46 | 1 | 2 | 2 | 0 | 10 | 1 | 4 | 1 | 50 |
Bad | 59 | 244 | 4 | 76 | 27 | 1 | 0 | 80 | 6 | 4 | 5 | 30 | 2 | 40 | 0 | 2 | 2 | 88 | 54 | 7 | 4 | 3 | 93 |
Bad | 58 | 231 | 13 | 73 | 20 | 2 | 2 | 90 | 4 | 4 | 6 | 23 | 0 | 24 | 0 | 2 | 2 | 54 | 39 | 2 | 4 | 1 | 60 |
Bad | 69 | 362 | 5 | 125 | 16 | 0 | 0 | 82 | 25 | 6 | 6 | 17 | 1 | 47 | 0 | 2 | 2 | 63 | -8 | 4 | 1 | 3 | 71 |
Good | 87 | 81 | 4 | 126 | 14 | 0 | 0 | 100 | -7 | 7 | 8 | 4 | 1 | 14 | -7 | 2 | 2 | 4 | -8 | 3 | 1 | 0 | 40 |
Bad | 75 | 278 | 3 | 93 | 17 | 0 | 0 | 100 | -7 | 7 | 8 | 17 | 4 | 47 | 2 | 2 | 2 | 43 | -8 | 3 | -8 | 1 | 100 |
Bad | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 |
Good | 71 | 131 | 3 | 61 | 35 | 0 | 0 | 100 | -7 | 7 | 8 | 37 | 5 | 50 | -7 | 5 | 5 | 43 | 94 | 6 | 2 | 1 | 89 |
Good | 75 | 134 | 3 | 63 | 28 | 1 | 0 | 97 | 80 | 6 | 5 | 34 | 2 | 21 | 2 | 5 | 5 | 16 | -8 | 3 | 1 | 0 | 67 |
Good | 57 | 382 | 6 | 125 | 36 | 3 | 0 | 62 | 28 | 6 | 5 | 45 | 4 | 27 | 0 | 2 | 2 | 72 | 93 | 10 | 5 | 3 | 76 |
Good | 86 | 279 | 9 | 115 | 16 | 0 | 0 | 94 | 59 | 6 | 6 | 16 | 1 | 13 | 0 | 3 | 3 | 5 | -8 | 1 | -8 | 0 | 20 |
Bad | 55 | 176 | 14 | 68 | 17 | 1 | 1 | 89 | 2 | 4 | 6 | 20 | 0 | 42 | 0 | 3 | 3 | 84 | 44 | 6 | 2 | 4 | 80 |
Bad | 57 | 47 | 9 | 35 | 5 | 1 | 0 | 50 | 16 | 6 | 5 | 10 | 1 | 30 | 0 | 2 | 2 | 66 | 70 | 2 | 2 | 0 | 57 |
Bad | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 |
Good | 82 | 311 | 17 | 133 | 18 | 0 | 0 | 100 | -7 | 7 | 8 | 21 | 0 | 22 | -7 | 0 | 0 | 34 | -8 | 4 | 2 | 1 | 60 |
Bad | 60 | 188 | 31 | 136 | 12 | 1 | 0 | 65 | 4 | 4 | 5 | 17 | 0 | 47 | 0 | 3 | 3 | 51 | 54 | 4 | 2 | 1 | 100 |
Bad | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 |
Bad | 58 | 139 | 16 | 87 | 14 | 1 | 0 | 75 | 2 | 3 | 5 | 16 | 0 | 50 | 0 | 2 | 2 | 84 | -8 | 7 | 1 | 1 | 100 |
Bad | 58 | 151 | 12 | 50 | 9 | 2 | 2 | 67 | 4 | 4 | 6 | 9 | 0 | 44 | 0 | 0 | 0 | 65 | 86 | 5 | 2 | 2 | 100 |
Bad | 70 | 52 | 17 | 42 | 8 | 0 | 0 | 100 | -7 | 7 | 8 | 8 | 0 | 38 | -7 | 0 | 0 | 95 | -8 | 3 | 1 | 2 | 67 |
Good | 69 | 155 | 10 | 85 | 26 | 0 | 0 | 100 | -7 | 7 | 8 | 26 | 1 | 12 | 1 | 2 | 2 | 54 | 81 | 12 | 1 | 5 | 68 |
Good | 68 | 160 | 2 | 70 | 63 | 0 | 0 | 97 | 13 | 6 | 6 | 71 | 5 | 48 | 20 | 0 | 0 | 35 | 105 | 11 | 7 | 0 | 75 |
Good | 84 | 213 | 9 | 76 | 17 | 0 | 0 | 100 | -7 | 7 | 8 | 17 | 1 | 18 | 16 | 0 | 0 | 35 | 53 | 2 | 2 | 0 | 57 |
Bad | 58 | 71 | 4 | 44 | 4 | 1 | 0 | 60 | 57 | 6 | 5 | 5 | 2 | 60 | 0 | 0 | 0 | 99 | -8 | 1 | 1 | 1 | 100 |
Good | 87 | 190 | 16 | 139 | 28 | 0 | 0 | 100 | -7 | 7 | 8 | 29 | 0 | 34 | 7 | 0 | 0 | 19 | -8 | 3 | 1 | 0 | 50 |
Good | 87 | 133 | 7 | 67 | 11 | 0 | 0 | 100 | -7 | 7 | 8 | 2 | 1 | 55 | 8 | 0 | 0 | 0 | 82 | 0 | 2 | 0 | 40 |
Bad | 60 | 180 | 2 | 61 | 12 | 8 | 6 | 67 | 30 | 6 | 2 | 18 | 3 | 44 | -7 | 0 | 0 | 46 | 97 | 4 | 1 | 2 | 86 |
Bad | 55 | 336 | 5 | 111 | 17 | 2 | 1 | 74 | 1 | 0 | 2 | 20 | 2 | 32 | -7 | 0 | 0 | 39 | -8 | 5 | 2 | 0 | 88 |
Good | 87 | 112 | 5 | 67 | 22 | 0 | 0 | 100 | -7 | 7 | 8 | 22 | 2 | 55 | 5 | 0 | 0 | 3 | 92 | 1 | 3 | 0 | 44 |
Bad | 68 | 195 | 4 | 67 | 22 | 1 | 0 | 87 | 34 | 6 | 5 | 23 | 3 | 52 | 2 | 3 | 3 | 74 | 88 | 3 | 3 | 2 | 75 |
Bad | 77 | 156 | 17 | 71 | 19 | 0 | 0 | 95 | 6 | 4 | 6 | 22 | 0 | 32 | 8 | 0 | 0 | 1 | 84 | 2 | 4 | 0 | 86 |
Good | 65 | 261 | 2 | 93 | 14 | 2 | 2 | 87 | 27 | 6 | 6 | 17 | 2 | 47 | 0 | 0 | 0 | 29 | 96 | 4 | 2 | 0 | 67 |
Bad | 64 | 99 | 7 | 43 | 8 | 0 | 0 | 100 | -7 | 7 | 8 | 8 | 2 | 38 | 0 | 4 | 3 | 76 | 89 | 5 | 3 | 1 | 100 |
Bad | 77 | 252 | 4 | 54 | 24 | 0 | 0 | 100 | -7 | 7 | 8 | 37 | 3 | 42 | 3 | 2 | 2 | 15 | 78 | 4 | 5 | 1 | 64 |
Bad | 60 | 206 | 9 | 40 | 8 | 2 | 2 | 88 | -8 | 6 | 6 | 9 | 2 | 88 | -7 | 0 | 0 | 99 | 81 | 1 | 5 | 1 | 100 |
Bad | 62 | 132 | 7 | 69 | 31 | 0 | 0 | 100 | -7 | 7 | 8 | 33 | 2 | 24 | 0 | 1 | 1 | 87 | 96 | 7 | 4 | 4 | 69 |
Good | 77 | 242 | 15 | 97 | 23 | 0 | 0 | 100 | -7 | 7 | 8 | 23 | 0 | 4 | 0 | 0 | 0 | 44 | -8 | 5 | 1 | 2 | 50 |
Bad | 63 | 161 | 5 | 45 | 37 | 0 | 0 | 100 | -7 | 7 | 8 | 39 | 6 | 18 | 0 | 1 | 1 | 41 | 84 | 20 | 2 | 2 | 96 |
Bad | 60 | 205 | 4 | 74 | 32 | 0 | 0 | 88 | 4 | 4 | 6 | 34 | 5 | 59 | -7 | 4 | 4 | 32 | 62 | 4 | 3 | 0 | 80 |
Bad | 63 | 242 | 2 | 68 | 25 | 0 | 0 | 100 | -7 | 7 | 8 | 26 | 1 | 19 | -7 | 3 | 3 | 73 | -8 | 12 | 1 | 5 | 87 |
Bad | 58 | 108 | 4 | 49 | 11 | 2 | 1 | 57 | 6 | 4 | 2 | 14 | 3 | 71 | 0 | 4 | 3 | 0 | 74 | 1 | 4 | -8 | 83 |
Bad | 79 | 340 | 4 | 80 | 52 | 0 | 0 | 96 | 10 | 4 | 6 | 77 | 2 | 13 | 6 | 0 | 0 | 2 | -8 | 2 | 1 | 0 | 12 |
Bad | 63 | 445 | 3 | 123 | 35 | 4 | 3 | 90 | 1 | 0 | 2 | 43 | 3 | 20 | 1 | 5 | 5 | 11 | 79 | 9 | 3 | 0 | 65 |
Good | 73 | 178 | 4 | 73 | 14 | 0 | 0 | 100 | -7 | 7 | 8 | 14 | 2 | 50 | 15 | 0 | 0 | 74 | 93 | 6 | 2 | 1 | 100 |
Good | 71 | 236 | 1 | 76 | 18 | 0 | 0 | 100 | -7 | 7 | 8 | 20 | 4 | 60 | 1 | 4 | 4 | 84 | -8 | 3 | 7 | 3 | 91 |
Good | 91 | 262 | 19 | 101 | 9 | 0 | 0 | 100 | -7 | 7 | 8 | 9 | 0 | 0 | 19 | 0 | 0 | 8 | -8 | 2 | -8 | 0 | 50 |
Good | 90 | 113 | 104 | 107 | 4 | 0 | 0 | 100 | -7 | 7 | 8 | 4 | 0 | 0 | 0 | 1 | 1 | 5 | -8 | 2 | -8 | 0 | 75 |
Good | 89 | 125 | 48 | 69 | 7 | 0 | 0 | 100 | -7 | 7 | 8 | 4 | 0 | 14 | -8 | 0 | 0 | 4 | -8 | 2 | 1 | 0 | 100 |
Bad | 61 | 198 | 6 | 56 | 20 | 0 | 0 | 100 | -7 | 7 | 8 | 21 | 2 | 5 | 0 | 1 | 1 | 88 | -8 | 12 | 1 | 8 | 87 |
Bad | 78 | 132 | 32 | 72 | 15 | 0 | 0 | 94 | 47 | 6 | 6 | 17 | 0 | 59 | 10 | 0 | 0 | 0 | -8 | 0 | 2 | 0 | 40 |
Bad | 67 | -8 | 7 | 68 | 34 | 0 | 0 | 100 | -7 | 7 | 8 | 39 | 3 | 13 | -7 | 5 | 5 | 90 | 40 | 13 | 4 | 9 | 89 |
Good | 76 | 167 | 16 | 81 | 23 | 0 | 0 | 100 | -7 | 7 | 8 | 24 | 0 | 17 | -7 | 0 | 0 | 35 | 70 | 4 | 2 | 2 | 67 |
Good | 82 | 127 | 4 | 69 | 27 | 0 | 0 | 100 | -7 | 7 | 8 | 28 | 3 | 18 | 0 | 3 | 3 | 25 | 99 | 6 | 3 | 1 | 50 |
Bad | 63 | 76 | 5 | 40 | 20 | 1 | 1 | 86 | -8 | 5 | 6 | 22 | 2 | 27 | 0 | 2 | 1 | 94 | 45 | 14 | 3 | 1 | 100 |
Good | 75 | 187 | 6 | 70 | 32 | 0 | 0 | 100 | -7 | 7 | 8 | 32 | 5 | 28 | 0 | 0 | 0 | 20 | 81 | 6 | 3 | 1 | 47 |
Bad | 76 | 42 | 18 | 27 | 7 | 0 | 0 | 100 | -7 | 7 | 8 | 7 | 0 | 71 | 0 | 1 | 1 | 30 | -8 | 1 | 3 | 0 | 80 |
Good | 80 | 136 | 15 | 63 | 11 | 0 | 0 | 91 | 21 | 6 | 6 | 11 | 0 | 36 | -7 | 1 | 1 | 19 | 54 | 2 | 3 | 0 | 71 |
Good | 79 | 162 | 8 | 66 | 28 | 0 | 0 | 90 | 19 | 6 | 6 | 30 | 4 | 50 | 2 | 1 | 1 | 14 | 84 | 4 | 2 | 0 | 75 |
Bad | 78 | 342 | 3 | 134 | 10 | 0 | 0 | 80 | 16 | 6 | 6 | 10 | 1 | 30 | 0 | 1 | 1 | 39 | -8 | 3 | 1 | 0 | 80 |
Bad | 61 | 146 | 3 | 58 | 35 | 0 | 0 | 63 | 6 | 4 | 6 | 44 | 4 | 45 | 6 | 0 | 0 | 27 | 87 | 4 | 3 | 2 | 64 |
Good | 82 | 247 | 21 | 99 | 28 | 0 | 0 | 100 | -7 | 7 | 8 | 32 | 0 | 32 | 15 | 0 | 0 | 20 | 30 | 5 | 3 | 1 | 67 |
Bad | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 | -9 |
Bad | 44 | -8 | 40 | 131 | 57 | 3 | 1 | 68 | 0 | 0 | 5 | 63 | 0 | 32 | -7 | 1 | 1 | 58 | 13 | 17 | 3 | 4 | 79 |
Bad | 54 | 179 | 8 | 81 | 21 | 0 | 0 | 62 | 0 | 4 | 6 | 21 | 3 | 14 | -7 | 2 | 2 | 92 | 86 | 11 | 3 | 10 | 94 |
Good | 73 | 304 | 18 | 86 | 14 | 1 | 1 | 100 | -7 | 7 | 8 | 15 | 0 | 43 | -7 | 0 | 0 | 0 | 2 | 1 | 2 | 0 | 43 |
Bad | 85 | 325 | 11 | 79 | 39 | 0 | 0 | 98 | -7 | 5 | 7 | 41 | 1 | 29 | 0 | 2 | 2 | 19 | 80 | 3 | 5 | 0 | 57 |
Good | 64 | 130 | 1 | 33 | 13 | 0 | 0 | 100 | -7 | 7 | 8 | 14 | 6 | 0 | 4 | 1 | 1 | 64 | -8 | 7 | -8 | 3 | 78 |
Bad | 66 | 286 | 1 | 114 | 45 | 0 | 0 | 93 | 68 | 6 | 6 | 46 | 1 | 20 | 0 | 0 | 0 | 67 | -8 | 12 | 4 | 2 | 71 |
Good | 85 | 288 | 6 | 100 | 25 | 0 | 0 | 100 | -7 | 7 | 8 | 25 | 2 | 24 | 0 | 0 | 0 | 10 | 57 | 3 | 2 | 0 | 50 |
Bad | 46 | 176 | 15 | 83 | 11 | 1 | 0 | 57 | 1 | 3 | 5 | 14 | 0 | 50 | 0 | 2 | 2 | 104 | -8 | 3 | 1 | 2 | 100 |
Good | 62 | 89 | 22 | 61 | 24 | 0 | 0 | 92 | 31 | 6 | 6 | 25 | 0 | 36 | 11 | 0 | 0 | 70 | -8 | 4 | 1 | 2 | 63 |
Bad | 75 | -8 | 7 | 24 | 5 | 0 | 0 | 100 | -7 | 7 | 8 | 0 | 2 | 0 | 6 | 0 | 0 | 3 | -8 | 2 | -8 | 0 | 40 |
Bad | 66 | 183 | 4 | 64 | 19 | 4 | 3 | 82 | 18 | 6 | 2 | 22 | 2 | 50 | 0 | 0 | 0 | 85 | 85 | 4 | 7 | 1 | 92 |
Good | 87 | 306 | 49 | 122 | 14 | 0 | 0 | 100 | -7 | 7 | 8 | 14 | 0 | 36 | 13 | 0 | 0 | 3 | -8 | 2 | -8 | 0 | 67 |
Bad | 70 | 291 | 8 | 88 | 14 | 0 | 0 | 100 | -7 | 7 | 8 | 8 | 1 | 29 | -7 | 0 | 0 | 100 | 67 | 5 | 2 | 4 | 100 |
Bad | 60 | 168 | 5 | 86 | 11 | 0 | 0 | 73 | 5 | 4 | 6 | 11 | 2 | 18 | -8 | 0 | 0 | 63 | 68 | 4 | 1 | 1 | 71 |
Bad | 65 | 121 | 1 | 41 | 20 | 2 | 2 | 88 | 9 | 0 | 2 | 26 | 3 | 27 | 0 | 5 | 5 | 15 | 52 | 3 | 4 | 0 | 47 |
Good | 85 | 216 | 3 | 72 | 28 | 0 | 0 | 93 | -8 | 5 | 6 | 28 | 2 | 11 | 0 | 1 | 1 | 3 | 37 | 7 | 2 | 0 | 60 |
Good | 74 | 306 | 4 | 91 | 34 | 0 | 0 | 97 | 60 | 6 | 6 | 37 | 2 | 26 | -7 | 2 | 2 | 12 | 78 | 7 | 4 | 0 | 67 |
Good | 86 | 304 | 103 | 167 | 9 | 0 | 0 | 100 | -7 | 7 | 8 | 9 | 0 | 22 | -8 | 0 | 0 | 27 | 20 | 1 | 1 | 0 | 67 |
Bad | 60 | -8 | 10 | 110 | 35 | 2 | 2 | 95 | 2 | 4 | 6 | 37 | 1 | 27 | 6 | 0 | 0 | 79 | 74 | 9 | 2 | 7 | 73 |
Bad | 64 | 222 | 6 | 95 | 16 | 1 | 0 | 82 | 6 | 4 | 5 | 17 | 2 | 47 | 0 | 1 | 1 | 36 | 92 | 5 | 2 | 1 | 70 |
Good | 66 | 311 | 9 | 84 | 32 | 1 | 1 | 100 | -7 | 7 | 8 | 33 | 3 | 39 | -7 | 0 | 0 | 48 | 64 | 9 | 5 | 1 | 74 |
Bad | 57 | 138 | 18 | 66 | 11 | 2 | 1 | 71 | 23 | 6 | 3 | 14 | 0 | 36 | 0 | 0 | 0 | 41 | -8 | 4 | 1 | 0 | 71 |
Good | 71 | 145 | 3 | 53 | 33 | 0 | 0 | 100 | -7 | 7 | 8 | 33 | 4 | 33 | 0 | 6 | 6 | 31 | 99 | 4 | 3 | 0 | 39 |
Bad | 85 | -8 | 5 | 79 | 5 | 0 | 0 | 100 | -7 | 7 | 8 | 0 | 1 | 40 | 1 | 2 | 2 | 19 | -8 | 3 | -8 | 1 | 100 |
Bad | 82 | 69 | 21 | 41 | 10 | 0 | 0 | 100 | -7 | 7 | 8 | 10 | 0 | 10 | 0 | 1 | 1 | 13 | -8 | 1 | 1 | 0 | 67 |
The HELOC dataset from FICO. Each entry in the dataset is a line of credit, typically offered by a bank as a percentage of home equity (the difference between the current market value of a home and its purchase price). The customers in this dataset have requested a credit line in the range of $5,000 - $150,000. The fundamental task is to use the information about the applicant in their credit report to predict whether they will repay their HELOC account within 2 years.
Configuration | Task | Description |
---|---|---|
RiskPerformance | Binary classification | Will the customer default? |