共 3 条
- [1] Assessing agreement between permutation and dropout variable importance methods for regression and random forest models ELECTRONIC RESEARCH ARCHIVE, 2024, 32 (07): : 4495 - 4514
- [3] Predictive Modeling of Korean Traditional Paper Characteristics Using Machine Learning Approaches (Part 2): Prediction of Carbonyl Content and Analysis of Variable Importance Using Random Forest Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry, 2023, 55 (05): : 13 - 23