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Statistical results of MLR and ANN models.
| Model | Data Set | Q2 | RMSE | R2 | R02 | (R2-R02)/R2 | K |
|---|---|---|---|---|---|---|---|
| MLR | Training | 0.72 | 0.14 | 0.84 | 0.81 | 0.04 | 1.00 |
| Prediction | 0.19 | 0.96 | 0.88 | 0.08 | 1.02 | ||
| ANN | Training | 0.93 | 0.10 | 0.92 | 0.91 | 0.02 | 1.00 |
| Validation | 0.04 | 1.00 | 0.99 | 0.00 | 1.01 | ||
| Test | 0.12 | 1.00 | 0.94 | 0.06 | 1.00 | ||
| Predictiona | 0.09 | 0.97 | 0.96 | 0.01 | 1.01 |
The validation and test set of ANN model were also analyzed together in order to compare with MLR results.
