Table 3.
Classification results of eight ANNs used in the two-layer decision tree based classifier
| Group | Type of chromosomes |
Number of testing chromosomes |
Correctly classified chromosomes in the first layer |
Classification accuracy rate in the first layer |
Correctly classified chromosomes in the second layer |
Overall classification accuracy rate |
|---|---|---|---|---|---|---|
| Seven groups |
A~G | 4607 | 4354 | 94.5% | 4217 | 91.5% |
| A | 1–3 | 600 | 587 | 97.8% | 585 | 97.5% |
| B | 4–5 | 400 | 387 | 96.8% | 381 | 95.2% |
| C | 6–12, X | 1541 | 1356 | 88.0% | 1242 | 80.6% |
| D | 13–15 | 600 | 582 | 97.0% | 574 | 95.7% |
| E | 16–18 | 600 | 594 | 99.0% | 592 | 98.7% |
| F | 19–20 | 400 | 395 | 98.8% | 395 | 98.8% |
| G | 21–22, Y | 466 | 453 | 97.2% | 448 | 96.2% |