Table 3.
The averages and confidence intervals of accuracy, sensitivity, and specificity values for the combinations of two kinds of classifiers and two kinds of PCA averaged after thirty iterations.
| Accuracy [CI] (%) | Sensitivity [CI] (%) | Specificity [CI] (%) | ||||||
|---|---|---|---|---|---|---|---|---|
| All parameters | SVM | Kernel PCA | 76.83 [75.77–77.90] | ∗ | 83.38 [81.77–85.00] | ∗ | 68.36 [65.88–70.84] | ∗ |
| Standard PCA | 52.03 [50.52–53.53] | 58.16 [55.94–60.38] | 47.87 [43.93–51.8] | |||||
| LDA | Kernel-PCA | 76.56 [75.42–77.70] | ∗ | 81.59 [79.87–83.31] | ∗ | 70.09 [67.66–72.52] | ||
| Standard PCA | 60.03 [58.88–61.17] | 55.72 [53.98–57.45] | 67.55 [64.19–70.91] | |||||
|
| ||||||||
| DRE eliminated | SVM | Kernel PCA | 76.17 [75.12–77.21] | ∗ | 84.59 [83.22–85.96] | ∗ | 66.07 [63.67–68.46] | ∗ |
| Standard PCA | 51.94 [50.17–53.72] | 58.24 [55.92–60.55] | 46.11 [41.70–50.53] | |||||
| LDA | Kernel PCA | 75.36 [74.01–76.71] | ∗ | 82.59 [80.84–84.34] | ∗ | 66.27 [63.75–68.79] | ||
| Standard PCA | 60.11 [59.09–61.13] | 55.28 [53.61–56.94] | 67.14 [63.83–70.46] | |||||
|
| ||||||||
| Age eliminated | SVM | Kernel PCA | 75.97 [75.07–76.88] | ∗ | 85.12 [83.73–86.51] | ∗ | 64.15 [61.57–66.72] | ∗ |
| Standard PCA | 56.03 [53.97–58.09] | 67.85 [65.64–70.07] | 40.55 [35.62–45.49] | |||||
| LDA | Kernel PCA | 76.33 [75.10–77.56] | ∗ | 83.95 [82.10–85.80] | ∗ | 66.48 [63.27–69.69] | ||
| Standard PCA | 57.50 [56.11–58.89] | 51.81 [49.34–54.28] | 65.01 [62.26–67.77] | |||||
|
| ||||||||
| Index Lesion Size Eliminated | SVM | Kernel PCA | 75.31 [74.19–76.42] | ∗ | 87.88 [86.31–89.45] | ∗ | 56.83 [53.94–59.72] | ∗ |
| Standard PCA | 53.64 [52.52–54.76] | 64.37 [62.52–66.22] | 39.90 [36.66–43.15] | |||||
| LDA | Kernel PCA | 76.75 [75.64–77.86] | ∗ | 86.51 [84.94–88.08] | ∗ | 64.00 [61.22–66.77] | ∗ | |
| Standard PCA | 59.69 [58.36–61.03] | 51.20 [48.89–53.50] | 72.71 [69.60–75.81] | |||||
*Statistically significantly different (α < 0.05/24).