Research Article
Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods
Table 7
The results of the FL regression for the original dataset and selected subset.
| Dataset | Metric | FL | FL after FS |
| D112_fc | R | 0.945 | 0.962 | RMSE | 1.090 | 1.245 | MAE | 0.933 | 0.961 |
| D112_S | R | 0.947 | 0.946 | RMSE | 2.477 | 2.546 | MAE | 1.954 | 1.514 |
| D224_fc | R | 0.928 | 0.954 | RMSE | 1.442 | 1.461 | MAE | 0.995 | 1.062 |
| D224_S | R | 0.977 | 0.927 | RMSE | 1.413 | 1.743 | MAE | 1.152 | 1.183 |
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