Table 4.
Computational time(s) to train for combination of classifiers and feature extraction methods.
| (a) Valence | ||||
| Feature extraction method | ||||
|
| ||||
| Classifier type | Time (s) | PCA | NPCA | KLD |
| SVM | 558 | 634 | 881 | |
| KNN | 452 | 841 | 847 | |
| BN | 593 | 729 | 1143 | |
|
| ||||
| (b) Arousal | ||||
| Feature extraction method | ||||
|
| ||||
| Classifier type | Time (s) | PCA | NPCA | KLD |
| SVM | 571 | 595 | 914 | |
| KNN | 470 | 537 | 914 | |
| BN | 623 | 755 | 1076 | |