Ideal Leverage via Machine Learning: Avoiding Financial Distress
Table 6: Prominent rules generated by RF to predict profit/ loss.
| RULE NO | AGE (AS YEAR) | LEVERAGE RATIO | ACID-TEST RATIO | CASH RATIO | MARKETING EXPENSES/SALES% | PROFIT % | LOSS % | 
| 1 | > 18 | < 0.38 | > 0.67 | 81 | |||
| 2 | > 44 | < 0.63 | < 0.65 | 85 | |||
| 3 | > 47 | < 0.78 | <7 | 88 | |||
| 4 | > 52 | 0.67-0.73 | > 16 | 92.5 | |||
| 5 | > 50 | 8-16 | 95 | ||||
| 6 | > 53 | < 0.83 | 90 | ||||
| 7 | > 58 | 0.73-0.81 | > 0.07 | 100 | |||
| 8 | 52-63 | < 0.88 | 90 | ||||
| 9 | > 65 | > 0.63 | < 0.65 | 95 | |||
| 10 | N.A. | 0.83-0.88 | > 0.52 | 94 | |||
| 11 | N.A. | 0.83-0.88 | > 0.24 | 92 | |||
| 12 | > 57 | 0.65-0.68 | 0.08-0.11 | 100 | |||
| 13 | > 23 | < 0.64 | > 0.14 | 89 | 
