Research Article
[Retracted] A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features
Table 4
Overall accuracy result of three MV classifiers.
| Classifiers | NB | BN | LMT tree | MLP |
| False positive | 0.035 | 0.020 | 0.010 | 0.007 | True positive | 0.860 | 0.921 | 0.960 | 0.971 | Kappa static | 0.8246 | 0.96 | 0.9496 | 0.9642 | M.A.E | 0.0648 | 0.037 | 0.0202 | 0.0162 | R.O.C area | 0.995 | 0.998 | 0.988 | 0.995 | Time second | 0.05 | 0.85 | 0.47 | 6.6 | Instances total | 3000 | 3000 | 3000 | 3000 | Miss classifiers rate | 14.0333 | 7.8660 | 4.0333 | 2.8667 | O.A (%) results | 85.9667 | 92.1333 | 95.9667 | 97.1333 |
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