Table 5 Minimum, mean and maximum accuracy of feature fusion-based XGBoost method.
From: CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis
Accuracy | Arousal (%) | Valence (%) | Dominance (%) |
|---|---|---|---|
Minimum | 92.857 | 83.333 | 82.927 |
Mean | 95.174 | 87.456 | 84.541 |
Maximum | 97.561 | 90.244 | 85.714 |
