Table 4. Adjusted p-values for N×N comparisons of diagnostic algorithms over 5 repetitions of 5-fold cross-validation method. The p-values below 0.05 demonstrate that the algorithms differ significantly (marked in italic font) in terms of precision values.
Hypothesis | Wilcoxon p-value | Nemenyi p-value |
---|---|---|
VGG16 vs. Extra Trees | 4.07e-5 | 0.02638 |
CADNet vs. Extra Trees | 1.39e-5 | 2.52e-5 |
CADNet vs. VGG16 | 0.00024 | 0.47791 |
CADNet + RFE.EN + GNB vs. Extra Trees | 1.23e-5 | 1.05e-13 |
CADNet + RFE.EN + GNB vs. VGG16 | 1.39e-5 | 8.62e-6 |
CADNet + RFE.EN + GNB vs. CADNet | 3.62e-5 | 0.01296 |