Table 6 Evaluation of the learning times and the testing accuracies among algorithms using SVM with 10 principle components
From: Robust algorithm for arrhythmia classification in ECG using extreme learning machine
C | 1 | 1000 | 2000 | 3000 | 4000 | 5000 | 6000 | 7000 | 8000 | 9000 |
|---|---|---|---|---|---|---|---|---|---|---|
Training time (seconds) | 98.95 | 52.73 | 46.83 | 47.67 | 39.73 | 50.84 | 40.25 | 37.78 | 45.89 | 39.03 |
Testing accuracy (%) | 88.89 | 97.71 | 98.03 | 98.19 | 98.28 | 98.35 | 98.39 | 98.40 | 98.46 | 98.48 |