Machine Learning Models For Predicting Bankruptcy Of Enterprises
Table 1:
| х | у | а0 | 7,145969 | IN L | -5,739361961 |
| 0,880042852 | 1 | а1 | -6,31325 | In L (при =const) | -12,47664925 |
| 1,099836572 | 1 | ||||
| 0,133160244 | 1 | р^ | 0,5 | Likelihood ratio | 13,47457458 |
| 0,556478261 | 1 | Number of degrees of freedom | 1 | ||
| 0,088398018 | 1 | Р-value | 0,000241818 | ||
| 0,259866144 | 1 | ||||
| 1,376578862 | 1 | x | 1,5 | ||
| 1,004014513 | 1 | P^{у=1|x} | 0,089162507 | ||
| 0,778048468 | 1 | ||||
| 0,424361942 | 1 | ||||
| 1,672766965 | 0 | ||||
| 1,421899886 | 0 | ||||
| 1,876226089 | 0 | ||||
| 1,018889339 | 0 | ||||
| 1,389917326 | 0 | ||||
| 1,080869776 | 0 | ||||
| 3,439537102 | 0 | ||||
| 1,267136327 | 0 | ||||
| 9,229677076 | 0 | ||||
| 8,359749012 | 0 | ||||