Research Article
Classification of Task-State fMRI Data Based on Circle-EMD and Machine Learning
Table 6
Accuracy results of extracted fMRI signals by using different machine learning algorithms.
| Experiment number | Logistic regression | SVM | Deep learning | Original | All IMFs | Original | All IMFs | Original | All IMFs |
| 1 | 0.667 | 0.750 | 0.708 | 0.708 | 0.833 | 0.875 | 2 | 0.667 | 0.708 | 0.667 | 0.708 | 0.792 | 0.875 | 3 | 0.625 | 0.667 | 0.708 | 0.708 | 0.708 | 0.833 | 4 | 0.667 | 0.708 | 0.583 | 0.625 | 0.667 | 0.792 | 5 | 0.667 | 0.625 | 0.583 | 0.542 | 0.750 | 0.750 | 6 | 0.708 | 0.708 | 0.625 | 0.667 | 0.750 | 0.792 | 7 | 0.708 | 0.667 | 0.583 | 0.583 | 0.792 | 0.833 | 8 | 0.667 | 0.667 | 0.542 | 0.583 | 0.542 | 0.708 | 9 | 0.708 | 0.750 | 0.625 | 0.667 | 0.750 | 0.833 | 10 | 0.750 | 0.750 | 0.750 | 0.750 | 0.750 | 0.833 | Average | 0.683 | 0.700 | 0.638 | 0.654 | 0.733 | 0.812 |
|
|