Research Article
Predicting the Investment Risk in Supply Chain Management Using BPNN and Machine Learning
Table 1
Sample variable regression analysis.
| Project | Main indicators | Intercept |
| Regression coefficient () | 1.257 | -1.446 | Standard error (S.E.) | 0.632 | 0.693 | Wald | 4.332 | 4.361 | Degree of freedom | 1 | 1 | Significance () | 0.035 | 0.028 | OR | 3.421 | 0.256 | Confidence interval (E.N.) 95% | | | Lower limit | 1.045 | | Upper limit | 11.769 | |
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