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Table 2:

Cross-validation accuracies in the experiment

Patch SizeSideLeave-1-Out Cross-Validation Accuracy, %*3-Fold Cross-Validation Accuracy*
50 × 100Right84.683.4% (81.8%–84.9%)
Left94.984.5% (81.2%–87.9%)
25 × 50Right84.681.6% (79.8%–83.4%)
Left94.989.6% (87.1%–92.1%)
20 × 40Right84.682.6% (80.7%–84.6%)
Left94.989.3% (86.8%–91.9%)
  • * Note:—All of the features appearing in subsets are selected to construct the classifier.

  • The 95% confidence intervals of classification accuracy by 100 times cross-validation experiments.