Table 2.
Testing dataset accuracy, precision, sensitivity, and specificity values for the studied feature extraction methods for each assessed classifier
| KNN | SVM | MLP | MEAN | SD | p-value | ||
|---|---|---|---|---|---|---|---|
| ACCURACY | RADIOMICSA | 68.08% | 76.59% | 63.82 | 69.50% | 6.5 | 0.008 |
| SEMANTICSB | 87.23% | 95.74% | 91.48% | 91.15% | 4.26 | ||
| ASSOCIATEDB | 82.97% | 87.23% | 91.49% | 87.20% | 4.26 | ||
| PRECISION | RADIOMICA | 70.08% | 79.16% | 66.66% | 72% | 6.46 | 0.016 |
| SEMANTICB | 82.75% | 96% | 88.88% | 89.20% | 6.63 | ||
| ASSOCIATEDB | 84% | 85.18% | 86.20% | 85.10% | 1.10 | ||
| SENSITIVITY | RADIOMICA | 68% | 76% | 64% | 69.30% | 6.11 | 0.013 |
| SEMANTICB | 96% | 96% | 96% | 96% | 0 | ||
| ASSOCIATEDB | 84% | 92% | 100% | 92% | 8 | ||
| SPECIFICITY | RADIOMICA | 68.18% | 77.27% | 63.63% | 69.70% | 6.94 | 0.045 |
| SEMANTICB | 77.27% | 95.45% | 86.36% | 86.40% | 9.09 | ||
| ASSOCIATEDAB | 81.81% | 81.81% | 81.81% | 81.81% | 0 |
a
Different letters indicate statistically significant differences between groups.
b
ANOVA test for repeated measures and post Tukey test.