Peng Zeng

Intelligent prediction under rockburst class imbalance: A coupled model fusing KMeans-SMOTE and CatBoost

Solving the problem of data class balance is the key premise to ensure the performance of rockburst intelligent prediction model. This paper adopted an oversampling method (KMeans‑SMOTE) based on K‑means clustering and Synthetic Minority Oversampling Technique (SMOTE). Firstly, t...