Last active
April 14, 2019 03:20
-
-
Save statcompute/c1ace8b848d78a0a8d52c59fba46dcdd to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| head(df, 2) | |
| # tot_derog tot_tr age_oldest_tr tot_open_tr tot_rev_tr tot_rev_debt tot_rev_line rev_util bureau_score ltv tot_income bad | |
| #1 6 7 46 NaN NaN NaN NaN 0 747 109 4800.00 0 | |
| #2 0 21 153 6 1 97 4637 2 744 97 5833.33 0 | |
| batch_bin(df, 1) | |
| #|var | nbin| unique| miss| min| median| max| ks| iv| | |
| #|:--------------|-----:|-------:|-----:|----:|--------:|--------:|--------:|-------:| | |
| #|tot_derog | 5| 29| 213| 0| 0.0| 32| 18.9469| 0.2055| | |
| #|tot_tr | 5| 67| 213| 0| 16.0| 77| 15.7052| 0.1302| | |
| #|age_oldest_tr | 10| 460| 216| 1| 137.0| 588| 19.9821| 0.2539| | |
| #|tot_open_tr | 3| 26| 1416| 0| 5.0| 26| 6.7157| 0.0240| | |
| #|tot_rev_tr | 3| 21| 636| 0| 3.0| 24| 9.0104| 0.0717| | |
| #|tot_rev_debt | 3| 3880| 477| 0| 3009.5| 96260| 8.5102| 0.0627| | |
| #|tot_rev_line | 9| 3617| 477| 0| 10573.0| 205395| 26.4924| 0.4077| | |
| #|rev_util | 2| 101| 0| 0| 30.0| 100| 15.1570| 0.0930| | |
| #|bureau_score | 12| 315| 315| 443| 692.5| 848| 34.8028| 0.7785| | |
| #|ltv | 7| 145| 1| 0| 100.0| 176| 15.6254| 0.1538| | |
| #|tot_income | 4| 1639| 5| 0| 3400.0| 8147167| 9.1526| 0.0500| | |
| batch_bin(df, 1)$BinLst[["rev_util"]]$df | |
| # bin rule freq dist mv_cnt bad_freq bad_rate woe iv ks | |
| # 01 $X <= 31 3007 0.5152 0 472 0.1570 -0.3250 0.0493 15.157 | |
| # 02 $X > 31 2830 0.4848 0 724 0.2558 0.2882 0.0437 0.000 | |
| batch_bin(df, 4) | |
| #|var | nbin| unique| miss| min| median| max| ks| iv| | |
| #|:--------------|-----:|-------:|-----:|----:|--------:|--------:|--------:|-------:| | |
| #|tot_derog | 8| 29| 213| 0| 0.0| 32| 20.0442| 0.2556| | |
| #|tot_tr | 13| 67| 213| 0| 16.0| 77| 17.3002| 0.1413| | |
| #|age_oldest_tr | 22| 460| 216| 1| 137.0| 588| 20.3646| 0.2701| | |
| #|tot_open_tr | 6| 26| 1416| 0| 5.0| 26| 6.8695| 0.0274| | |
| #|tot_rev_tr | 4| 21| 636| 0| 3.0| 24| 9.0779| 0.0789| | |
| #|tot_rev_debt | 9| 3880| 477| 0| 3009.5| 96260| 8.8722| 0.0848| | |
| #|tot_rev_line | 21| 3617| 477| 0| 10573.0| 205395| 26.8943| 0.4445| | |
| #|rev_util | 11| 101| 0| 0| 30.0| 100| 16.9615| 0.1635| | |
| #|bureau_score | 30| 315| 315| 443| 692.5| 848| 35.2651| 0.8344| | |
| #|ltv | 17| 145| 1| 0| 100.0| 176| 16.8807| 0.1911| | |
| #|tot_income | 17| 1639| 5| 0| 3400.0| 8147167| 10.3386| 0.0775| | |
| batch_bin(df, 4)$BinLst[["rev_util"]]$df | |
| # bin rule freq dist mv_cnt bad_freq bad_rate woe iv ks | |
| # 01 $X <= 24 2653 0.4545 0 414 0.1560 -0.3320 0.0452 13.6285 | |
| # 02 $X > 24 & $X <= 36 597 0.1023 0 96 0.1608 -0.2963 0.0082 16.3969 | |
| # 03 $X > 36 & $X <= 40 182 0.0312 0 32 0.1758 -0.1890 0.0011 16.9533 | |
| # 04 $X > 40 & $X <= 58 669 0.1146 0 137 0.2048 -0.0007 0.0000 16.9615 | |
| # 05 $X > 58 & $X <= 60 77 0.0132 0 16 0.2078 0.0177 0.0000 16.9381 | |
| # 06 $X > 60 & $X <= 73 442 0.0757 0 103 0.2330 0.1647 0.0022 15.6305 | |
| # 07 $X > 73 & $X <= 75 62 0.0106 0 16 0.2581 0.2999 0.0010 15.2839 | |
| # 08 $X > 75 & $X <= 83 246 0.0421 0 70 0.2846 0.4340 0.0089 13.2233 | |
| # 09 $X > 83 & $X <= 96 376 0.0644 0 116 0.3085 0.5489 0.0225 9.1266 | |
| # 10 $X > 96 & $X <= 98 50 0.0086 0 17 0.3400 0.6927 0.0049 8.4162 | |
| # 11 $X > 98 483 0.0827 0 179 0.3706 0.8263 0.0695 0.0000 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment