Table 1:

Various test metrics for binary classification. Performance reflects mean of 5 separate seeded runs

Binary ClassificationAccuracySensitivitySpecificityPPVNPVROC AUC
1 section, random initialization92.83% (1.16%)89.76% (2.11%)95.87% (0.43%)95.61% (0.68%)90.34% (1.69%)0.9735 (0.0095)
1 section, pretrained93.41% (1.13%)91.07% (2.39%)95.69% (0.72%)95.55% (0.46%)91.48% (2.00%)0.9815 (0.0059)
3 sections, random initialization92.40% (0.86%)90.24% (1.05%)94.56% (0.92%)94.32% (1.17%)90.59% (0.82%)0.9782 (0.0072)
3 sections, pretrained93.88% (0.78%)91.52% (1.40%)96.23% (0.94%)96.14% (0.64%)91.80% (1.71%)0.9850 (0.0044)
9 sections, random initialization93.14% (0.95%)90.79% (2.19%)95.39% (1.77%)95.26% (1.81%)91.28% (1.12%)0.9821 (0.0064)
9 sections, pretrained93.14% (0.69%)91.75% (1.77%)94.43% (1.85%)94.43% (1.62%)92.01% (1.18%)0.9843 (0.0038)
27 sections, random initialization93.84% (1.04%)92.23% (1.88%)95.40% (1.54%)95.31% (1.48%)92.49% (1.46%)0.9831 (0.0062)
27 sections, pretrained93.45% (0.64%)90.67% (1.58%)96.17% (1.19%)96.01% (1.15%)91.17% (0.86%)0.9858 (0.0041)
  • The numbers in parentheses represent SD.