Emotion Recognition of EEG Signals Based on the Ensemble Learning Method: AdaBoost

Table 4

The main experiment and comparison experiment results: confusion matrix (presented in a tabular form).

Classifier-dimension	TN	FP	FN	TP
Random forest: valence	86	23	22	125
Random forest: arousal	84	20	26	126
Random forest: dominance	70	17	21	148
Random forest: liking	53	32	27	144
XGBoost: valence	87	22	14	133
XGBoost: arousal	86	18	14	138
XGBoost: dominance	72	15	18	151
XGBoost: liking	61	24	23	148
AdaBoost: valence	92	17	16	131
AdaBoost: arousal	85	19	13	139
AdaBoost: dominance	74	13	11	158
AdaBoost: liking	50	35	8	163