Research Article
Assessing Predictive Ability of Dynamic Time Warping Functional Connectivity for ASD Classification
Table 4
Results from single iterations of nested LOOCV and optimistically biased CV.
| Method | Accuracy | Sensitivity | Specificity |
| Nested LOOCV (DTW) | SVM-Linear | 0.58 | 0.51 | 0.64 | SVM-Linear (PCA) | 0.71 | 0.69 | 0.72 | SVM-Radial | 0.56 | 0.53 | 0.58 | SVM-Radial (PCA) | 0.67 | 0.67 | 0.66 | L1-SVM | 0.59 | 0.57 | 0.60 | L1-SVM (PCA) | 0.66 | 0.63 | 0.68 | Nested LOOCV (PC) | SVM-Linear | 0.62 | 0.61 | 0.62 | SVM-Linear (PCA) | 0.62 | 0.61 | 0.62 | SVM-Radial | 0.54 | 0.51 | 0.56 | SVM-Radial (PCA) | 0.53 | 0.47 | 0.58 | L1-SVM | 0.59 | 0.53 | 0.64 | L1-SVM (PCA) | 0.59 | 0.61 | 0.56 | Optimistically biased CV (DTW) | SVM-Linear | 0.60 | 0.57 | 0.62 | SVM-Linear (PCA) | 0.67 | 0.70 | 0.64 | SVM-Radial | 0.61 | 0.47 | 0.74 | SVM-Radial (PCA) | 0.67 | 0.61 | 0.72 | L1-SVM | 0.66 | 0.68 | 0.64 | L1-SVM (PCA) | 0.66 | 0.56 | 0.76 | Optimistically biased CV (PC) | SVM-Linear | 0.60 | 0.54 | 0.66 | SVM-Linear (PCA) | 0.58 | 0.56 | 0.60 | SVM-Radial | 0.60 | 0.55 | 0.64 | SVM-Radial (PCA) | 0.63 | 0.48 | 0.78 | L1-SVM | 0.66 | 0.68 | 0.64 | L1-SVM (PCA) | 0.63 | 0.66 | 0.60 |
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