Table 5 Performance comparison with different regressors on the independent testing dataset.
From: Prediction of concrete compressive strength using a Deepforest-based model
Regressor | R2 | MSE | MAE | RMSE |
|---|---|---|---|---|
Linear | 0.61 | 108.23 | 8.18 | 10.40 |
KNeighbors | 0.79 | 57.18 | 5.55 | 7.56 |
DecisionTree | 0.86 | 38.88 | 3.76 | 6.24 |
SVR | 0.83 | 47.65 | 4.96 | 6.90 |
LASSO | 0.61 | 109.09 | 8.22 | 10.44 |
MLP | 0.72 | 78.88 | 6.76 | 8.88 |
ExtraTrees | 0.90 | 26.52 | 3.10 | 5.15 |
RandomForest | 0.90 | 26.87 | 3.45 | 5.18 |
AdaBoost | 0.78 | 60.98 | 6.25 | 7.81 |
GradientBoosting | 0.89 | 31.50 | 3.90 | 5.61 |
Bagging | 0.90 | 27.08 | 3.47 | 5.20 |
Deepforest | 0.91 | 26.10 | 3.18 | 5.11 |
