Table 3 Proposed model performance evaluation.

From: Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence

Performance Parameters

Testing

Accuracy

93.29%

Misclassification rate

6.71%

Precision

88.72%

Specificity

97.99%

Sensitivity

93.19%

FNR

6.81%

FPR

2.01%

F1 score

0.91