Table 3.
Comparison between classifiers for detecting the need for referral to biopsy
Model | Accuracy (S.D%) | Sensitivity (S.D%) | Specificity (S.D%) | AUC (S.D) | Execution time(s) |
---|---|---|---|---|---|
Random Forest | 82.06% (5.12) | 87.74% (14.24) | 81.72% (5.40) | 0.905 (0.084) | 14 |
Naïve Bayes | 80.65% (3.62) | 77.68% (19.10) | 80.84% (3.01) | 0.867 (0.097) | 1 |
K-NN | 84.06% (3.32) | 72.98% (18.25) | 84.72% (3.91) | 0.729 (0.188) | 1 |
Deep Learning | 77.16% (6.92) | 76.55% (17.99%) | 77.26% (8.05) | 0.859 (0.098) | 23 |