Table 7 Weighted-average precision of various methods.
From: Failure Mode Detection of Reinforced Concrete Shear Walls Using Ensemble Deep Neural Networks
Models | Precision |
|---|---|
Naïve Bayes (Mangalathu et al., 2020) | 0.76 |
K-Nearest Neighbors (Mangalathu et al., 2020) | 0.85 |
Decision Tree (Mangalathu et al., 2020) | 0.80 |
MAE model | 0.96 |
Random Forest (Mangalathu, 2020) | 0.87 |
AdaBoost (Mangalathu et al., 2020) | 0.68 |
XGBoost (Mangalathu et al., 2020) | 0.83 |
MWAE model | 0.83 |
LightGBM (Mangalathu et al., 2020) | 0.80 |
CatBoost (Mangalathu et al., 2020) | 0.84 |
WAE model | 0.99 |
ISE model | 0.97 |