Research Article
Evaluation Models for Soil Nutrient Based on Support Vector Machine and Artificial Neural Networks
Table 2
Computing results of the two models in different normalization conditions.
| Model (trained for 1000 times) | Proportion of training set | Computing results | No normalization | ā1, 1 Normalization | 0, 1 Normalization |
| Model 1 | 35% | Average prediction accuracy | 77.87% | 80.91% | 82.34% | Standard deviation | 0.1396 | 0.1911 | 0.1727 |
| Model 2 | 20% | Average prediction accuracy | 83.00% | 71.53% | 72.75% | Standard deviation | 0.1463 | 0.2548 | 0.2464 |
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