Open access
Sep 2026
Benchmarking Baseline Machine Learning Models for Multiclass EEG Emotion Classification on the FACED Dataset
Emotion recognition from electroencephalography (EEG) signals is a central problem in affective computing. This study benchmarks seven classical machine learning models—XGBoost, LightGBM, Random Forest, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, and Logistic Regression—for multiclass EEG em...
Raiymbek Nurtay, B. Abdikenov, R. Zhulduzbayev et al.
· Computation · 0 citations