The Application of Machine Learning in the Corona Era, With an Emphasis on Economic Concepts and Sustainable Development Goals
Table 13.
Network architecture
| R-Squared | Correlation | AIC | Test Error | Validation Error | Train Error | Fitness | # of Weights | Architecture | ID | | 0.957 | 0.978 | -1083 | 25.03 | 16.68 | 18.26 | 0.03994 | 5 | [2-1-1] | 1 | | 0.963 | 0.981 | -1074 | 24.64 | 14.54 | 16.37 | 0.04057 | 29 | [2-7-1] | 2 | | 0.964 | 0.981 | -1099 | 24.81 | 14.42 | 16.36 | 0.04030 | 17 | [2-4-1] | 3 | | 0.961 | 0.980 | -1072 | 24.51 | 15.72 | 17.21 | 0.04079 | 21 | [2-5-1] | 4 | | 0.963 | 0.981 | -1082 | 24.54 | 14.57 | 16.39 | 0.04073 | 25 | [2-6-1] | 5 |
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