Table 4 Comparative performance results in colon cancer prediction. Sensitivities and specificities were estimated by 100 two-fold cross-validations (standard deviations are in brackets).

Proposed method M = 2, Δθ = 1⁰

RBF SVM (σ² = 1200, C = 1)

Sensitivity: 90.8 (5.5)%, specificity: 79.4 (9.8)%; accuracy: 85.1%

Control specific component extracted with respect to a cancer reference sample.

Proposed method M = 4, Δθ = 5⁰ λ = 10^-2λ_max

RBF SVM (σ² = 1000, C = 1)

Sensitivity: 89.8 (6.2)%, specificity: 78.6 (12.8)%; accuracy: 84.2%.

Control specific component extracted with respect to a control reference sample.

[1]

Sensitivity: 89.7 (6.4)%, specificity: 84.3 (8.4)%; accuracy = 87%. 100 two-fold cross-validations.

[2]

Sensitivity: 92.1 (4.7)%, specificity: 85 (10.1)%; accuracy: 88.55%. 100 two-fold cross-validations. c u = 2.0.

[48]

Sensitivity: 92-95% calculated from Figure 5. Specificity not reported.

[15]

Accuracy 85%. Cross-validation details not reported.

[50]

Accuracy 82.5%, ten-fold cross-validation (RFE with linear SVM).

[51]

Accuracy 88.84%, two-fold cross-validation (RFE with linear SVM and optimized penalty parameter C).