Research Article
Automatic Classification of Specific Melanocytic Lesions Using Artificial Intelligence
Table 2
The assessment of classifiers for a 1-vs-all and overall classification.
| Measure | Logit | Tree | 3NN | 5NN | 10NN | 15NN | SVM |
| | 0.9730 | 0.8485 | 0.7200 | 0.7660 | 0.6939 | 0.6735 | 1.0000 | | 1.0000 | 0.9266 | 1.0000 | 1.0000 | 0.9785 | 0.9677 | 1.0000 | | 1.0000 | 0.9675 | 0.9914 | 0.9889 | 0.9679 | 0.9659 | 1.0000 |
| | 0.8611 | 0.6977 | 0.8519 | 0.7586 | 0.8148 | 0.8182 | 0.9143 | | 0.9528 | 0.9394 | 0.8870 | 0.8761 | 0.8783 | 0.8500 | 0.9626 | | 0.9817 | 0.9279 | 0.9615 | 0.9089 | 0.9099 | 0.9030 | 0.9851 |
| | 0.8387 | 0.9655 | 0.7419 | 0.6786 | 0.6071 | 0.5185 | 0.8611 | | 0.9189 | 0.9381 | 0.8919 | 0.8596 | 0.8421 | 0.8174 | 0.9623 | | 0.9469 | 0.9555 | 0.9152 | 0.8746 | 0.7860 | 0.7378 | 0.9688 |
| | 0.8421 | 0.7568 | 0.8235 | 0.7105 | 0.6053 | 0.5227 | 0.9429 | | 0.9712 | 0.9333 | 0.9352 | 0.9231 | 0.8846 | 0.8776 | 0.9813 | | 0.9648 | 0.9425 | 0.9606 | 0.9395 | 0.8812 | 0.8545 | 0.9789 |
| | 0.8803 | 0.8028 | 0.7746 | 0.7324 | 0.6761 | 0.6197 | 0.9296 |
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BN: blue nevus, CN: Clark nevus, MM: malignant melanoma, SN: Spitz nevus, ALL: multiclass classification.
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