Research Article
Modeling the Relationship between Rice Yield and Climate Variables Using Statistical and Machine Learning Techniques
Table 3
Performance of the models for the combined dataset.
| Parameter | Statistical method/machine learning technique | ANN | SVMR | GPR | MLR | PR | RR |
| MSE | 0.04 | 0.10 | 0.008 | 0.09 | 0.09 | 0.09 | R | 0.82 | 0.24 | 0.98 | 0.50 | 0.51 | 0.50 | MAPE (%) | 3.7 | 6.3 | 2.0 | 6.5 | 6.4 | 6.4 | Nash number | 0.67 | 0.16 | 0.93 | 0.25 | 0.27 | 0.25 | RSR | 0.573 | 0.906 | 0.256 | 0.86 | 0.86 | 0.86 | BIAS | 0.023 | 0.026 | 0.000001 | 0.00000006 | ā0.012 | ā0.00055 |
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