A comprehensive review by researchers from Hiroshima University and the University of Queensland highlights how machine learning is revolutionizing urban greenhouse gas prediction, offering ...

To mitigate potential class imbalance, the dataset was increased to 620 samples using the Synthetic Minority Over-sampling Technique (SMOTE). Machine learning models including Logistic Regression (LR) ...

Moreover, the SMOTE algorithm effectively alleviates class imbalance by ... RF, GBT, CB, NGB, LR, MLP, and SVM models. Optimal hyperparameters were determined through grid search with 10-fold ...