Table 11 Computational efficiency comparison of machine learning models.
From: Evaluating machine learning efficiency and accuracy for real time flash flood mapping
Model | Computational time (CPU) | Memory usage (GB) | Hardware |
|---|---|---|---|
Random forest | Low (≈ 10 min) | Moderate (≈ 2 GB) | CPU (Intel i7) |
XGBoost | Moderate (≈ 20 min) | High (≈ 4 GB) | CPU (Intel i7) |
LightGBM | Low (≈ 14 min) | Moderate (≈ 3 GB) | CPU (Intel i7) |
CatBoost | High (≈ 32 min) | High (≈ 5 GB) | CPU (Intel i7) |
H2O deep learning | High (≈ 43 min) | Very High (≈ 8 GB) | CPU (Intel i7) |
AdaBoost | Moderate (≈ 16 min) | Moderate (≈ 3 GB) | CPU (Intel i7) |
