| Evolving Fuzzy Classifier Variant | Dataset | Average | ||
| 50 Hz | 60 Hz | |||
| Classifier #1 Proposed (loose clustering) | Accuracy (%) | 99.37 | 99.45 | |
| No. of clusters (average) | 5.00 | 4.75 | ||
| Classes represented (%) | 100.00 | 95.00 | ||
| Time/Sample (us) | 19.79 | 16.80 | ||
| Classifier #2 Comparison (strict clustering) | Accuracy (%) | 92.30 | 88.47 | |
| No. of clusters (average) | 2.86 | 2.00 | ||
| Classes represented (%) | 57.20 | 40.00 | ||
| Time/Sample (us) | 14.20 | 13.18 | ||
| Classifier #3 Comparison (loose clustering) | Accuracy (%) | 98.90 | 98.90 | |
| No. of clusters (average) | 115.02 | 106.99 | ||
| Classes represented (%) | 100.00 | 87.60 | ||
| Time/Sample (us) | 148.93 | 126.73 | ||
| Classifier #4 Comparison (strict clustering) | Accuracy (%) | 94.44 | 86.25 | |
| No. of clusters (average) | 9.13 | 8.47 | ||
| Classes represented (%) | 58.40 | 40.00 | ||
| Time/Sample (us) | 23.54 | 21.59 | ||