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 |