Table 3 Optimization comparison of prediction accuracy of four machine learning models.
From: Porosity prediction of tight reservoir rock using well logging data and machine learning
Model | pre-optimization | Post-optimization | MAE | RMSE | ||
|---|---|---|---|---|---|---|
Train (%) | Test (%) | Train (%) | Test (%) | |||
GBDT | 91.17 | 90.16 | 95.33 | 92.48 | 0.6234 | 1.0617 |
RF | 98.91 | 92.28 | 97.72 | 92.09 | 0.6497 | 1.1016 |
XGBoost | 88.95 | 88.74 | 99.40 | 92.79 | 1.0977 | 1.7552 |
MLP | 88.77 | 88.75 | 89.41 | 89.37 | 1.1278 | 1.7756 |
