I. K. Adyanata

Comparison of SMOTE, Class Weighting, and Classical Machine Learning Models on the ID-SMSA Indonesian Stock Market Dataset

A transparent and reproducible classical baseline is provided that situates transformer-based and deep-learning approaches on ID-SMSA within a well-defined reference frame and confirms that linear SVM on TF-IDF is robust to moderate imbalance at IR = 2.41.