Table 4 Error metrices of developed models for plastic viscosity prediction.
From: Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete
| Â | GEP | KNN | XGB | MLR | RFR | |||||
|---|---|---|---|---|---|---|---|---|---|---|
Training | Testing | Training | Testing | Training | Testing | Training | Testing | Training | Testing | |
MAE | 83.38 | 83.28 | 91.15 | 98.77 | 22.39 | 29.28 | 106.66 | 160.92 | 46.55 | 90 |
RMSE | 109.22 | 66.06 | 119.96 | 138.4 | 57.10 | 73.32 | 144.43 | 196.1 | 61.02 | 128.28 |
\(\:{\varvec{R}}^{2}\) | 0.7419 | 0.7765 | 0.6608 | 0.7219 | 0.959 | 0.947 | 0.5093 | 0.2073 | 0.9149 | 0.6429 |
PI | 0.11 | 0.07 | 0.137 | 0.142 | 0.059 | 0.071 | 0.184 | 0.222 | 0.065 | 0.12 |
OF | 0.086 | 0.139 | 0.066 | 0.206 | 0.097 | |||||
