| Evolving Fuzzy Classifier Variant | Dataset | Average | ||
| Iris | Wine | |||
| Classifier #1 Proposed (loose clustering) | Accuracy (%) | 99.81 | 94.92 | |
| No. of clusters (average) | 2.99 | 2.95 | ||
| Classes represented (%) | 99.67 | 98.33 | ||
| Time/Sample (us) | 84.95 | 91.74 | ||
| Classifier #2 Comparison (strict clustering) | Accuracy (%) | 99.97 | 90.89 | |
| No. of clusters (average) | 2.02 | 1.27 | ||
| Classes represented (%) | 67.33 | 42.33 | ||
| Time/Sample (us) | 78.01 | 84.78 | ||
| Classifier #3 Comparison (loose clustering) | Accuracy (%) | 99.67 | 97.25 | |
| No. of clusters (average) | 26.10 | 18.81 | ||
| Classes represented (%) | 99.33 | 95.67 | ||
| Time/Sample (us) | 119.95 | 127.79 | ||
| Classifier #4 Comparison (strict clustering) | Accuracy (%) | 99.92 | 91.06 | |
| No. of clusters (average) | 5.26 | 3.66 | ||
| Classes represented (%) | 66.67 | 41.00 | ||
| Time/Sample (us) | 89.02 | 95.58 | ||