Research Article
Evolving Machine Learning Methods for Density Estimation of Liquid Alkali Metals over the Wide Ranges
Table 2
The statistical indexes for suggested models.
| ā | R2 | MRE | MSE | RMSE | STD |
| GEP | Train | 0.9999 | 0.7935 | 0.0391 | 0.8908 | 0.1387 | Test | 0.9999 | 0.9184 | 0.0551 | 0.9583 | 0.1683 | Total | 0.9999 | 0.8559 | 0.0471 | 0.9245 | 0.1435 |
| ANFIS | Train | 1 | 0.766 | 0.033 | 0.1816 | 0.1276 | Test | 1 | 0.815 | 0.0335 | 0.1829 | 0.1273 | Total | 1 | 0.778 | 0.0331 | 0.1829 | 0.1274 |
| LSSVM | Train | 1 | 0.167 | 0.0056 | 0.075 | 0.0693 | Test | 1 | 0.154 | 0.0042 | 0.0651 | 0.0592 | Total | 1 | 0.164 | 0.0053 | 0.0651 | 0.0668 |
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