Emotion recognition based on Electroencephalogram (EEG) signals has become an intriguing research field in human-computer interaction and medical applications with the potential to provide deep insights into patients' mental conditions. This study aimed to compare the performance of three machine learning algorithms, XGBoost, LightGBM, and Random Forest, in classifying EEG signals for emotion r…