Table 4 Performance measurements of developed models for Fc.
From: Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete
Model | Dataset | SSE | MAE | MSE | RMSE | Error% | Acc | R2 | R. | WI | NSE | KGE | SMAPE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
DT-Bat | Training | 3264 | 5.37 | 31.39 | 5.60 | 15% | 85% | 0.83 | 0.91 | 0.95 | 0.82 | 0.90 | 15.69 |
Validation | 781 | 4.90 | 32.53 | 5.70 | 15% | 85% | 0.90 | 0.95 | 0.97 | 0.88 | 0.92 | 14.02 | |
DT-Cuckoo | Training | 889 | 2.69 | 8.55 | 2.92 | 8% | 92% | 0.95 | 0.98 | 0.99 | 0.95 | 0.94 | 8.32 |
Validation | 470 | 3.77 | 19.59 | 4.43 | 11% | 89% | 0.94 | 0.97 | 0.98 | 0.93 | 0.94 | 12.64 | |
DT-Elephant | Training | 3311 | 5.15 | 31.84 | 5.64 | 15% | 85% | 0.90 | 0.95 | 0.95 | 0.81 | 0.87 | 17.86 |
Validation | 963 | 5.33 | 40.11 | 6.33 | 16% | 84% | 0.92 | 0.96 | 0.96 | 0.85 | 0.88 | 17.31 | |
DT-FireFly | Training | 782 | 2.68 | 7.52 | 2.74 | 7% | 93% | 0.98 | 0.99 | 0.99 | 0.96 | 0.93 | 10.03 |
Validation | 349 | 3.28 | 14.55 | 3.81 | 10% | 90% | 0.99 | 0.99 | 0.99 | 0.95 | 0.91 | 11.73 | |
DT-Rhino | Training | 4673 | 6.30 | 44.93 | 6.70 | 18% | 82% | 0.82 | 0.91 | 0.94 | 0.74 | 0.82 | 17.70 |
Validation | 1040 | 5.48 | 14.55 | 6.58 | 17% | 83% | 0.91 | 0.95 | 0.97 | 0.84 | 0.82 | 15.10 | |
DT-Wolf | Training | 1381 | 3.5 | 13.3 | 3.6 | 10% | 90% | 0.96 | 0.98 | 0.98 | 0.92 | 0.91 | 12.80 |
Validation | 459 | 3.9 | 19.1 | 4.4 | 11% | 89% | 0.97 | 0.99 | 0.98 | 0.93 | 0.89 | 13.91 |
