Table 7 Precision comparison of different predictive models
From: A predictive indicator using lender composition for loan evaluation in P2P lending
Observations | Variables combination | LR | SVM | RFs |
|---|---|---|---|---|
ALL | A | 0.7308 | 0.7085 | 0.7299 |
B | 0.7326 | 0.7091 | 0.7376 | |
C | 0.7428 | 0.7174 | 0.7587 | |
D | 0.7539 | 0.7807 | 0.7747 | |
TOP 50% | A | 0.8037 | 0.8685 | 0.7953 |
B | 0.8032 | 0.8819 | 0.8008 | |
C | 0.8321 | 0.8964 | 0.8157 | |
D | 0.856 | 0.9098 | 0.8453 | |
TOP 30% | A | 0.8596 | 0.8787 | 0.8418 |
B | 0.8621 | 0.8895 | 0.8479 | |
C | 0.8779 | 0.9153 | 0.8671 | |
D | 0.9086 | 0.9377 | 0.8954 |