Table 2.
Subject-wise tenfold cross-validation splitting scheme for multi-class emotion classification across five EEG datasets.
| Dataset | Classification | Splitting (tenfold cross validation) | ||
|---|---|---|---|---|
| Folds | Training | Validation | ||
| SEED |
Positive Neutral Negative |
1 | 1–11 | 12–13 |
| 2 | 2–12 | 13–14 | ||
| 3 | 3–13 | 14–15 | ||
| 4 | 4–14 | 15–1 | ||
| 5 | 5–15 | 1–2 | ||
| 6 | 6–1 | 2–3 | ||
| 7 | 7–2 | 3–4 | ||
| 8 | 8–3 | 4–5 | ||
| 9 | 9–4 | 5–6 | ||
| 10 | 10–5 | 6–7 | ||
| MPED |
Joy Funny Neutral Sad Fear Disgust Anger |
1 | 1–26 | 27–29 |
| 2 | 2–27 | 28–30 | ||
| 3 | 3–28 | 29–1 | ||
| 4 | 4–29 | 30–2 | ||
| 5 | 5–30 | 1–3 | ||
| 6 | 6–1 | 2–4 | ||
| 7 | 7–2 | 3–5 | ||
| 8 | 8–3 | 4–6 | ||
| 9 | 9–4 | 5–7 | ||
| 10 | 10–5 | 6–8 | ||
| FACED |
Amusement Inspiration Joy Tenderness Anger Fear Disgust Sadness Neutral |
1 | 1–110 | 111–123 |
| 2 | 2–111 | 112–1 | ||
| 3 | 3–112 | 113–2 | ||
| 4 | 4–113 | 114–3 | ||
| 5 | 5–114 | 115–4 | ||
| 6 | 6–115 | 116–5 | ||
| 7 | 7–116 | 117–6 | ||
| 8 | 8–117 | 118–7 | ||
| 9 | 9–118 | 119–8 | ||
| 10 | 10–119 | 120–9 | ||
| CEED |
Positive Neutral Negative |
1 | 1–12 | 13–15 |
| 2 | 2–13 | 14–1 | ||
| 3 | 3–14 | 15–2 | ||
| 4 | 4–15 | 1–3 | ||
| 5 | 5–1 | 2–4 | ||
| 6 | 6–2 | 3–5 | ||
| 7 | 7–3 | 4–6 | ||
| 8 | 8–4 | 5–7 | ||
| 9 | 9–5 | 6–8 | ||
| 10 | 10–6 | 7–9 | ||