1naresh
Array ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) ) 1nareshArray ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) )Table 2:Cross-validation accuracies in the experiment
Patch Size Side Leave-1-Out Cross-Validation Accuracy, %* 3-Fold Cross-Validation Accuracy* 50 × 100 Right 84.6 83.4% (81.8%–84.9%)† Left 94.9 84.5% (81.2%–87.9%)† 25 × 50 Right 84.6 81.6% (79.8%–83.4%)† Left 94.9 89.6% (87.1%–92.1%)† 20 × 40 Right 84.6 82.6% (80.7%–84.6%)† Left 94.9 89.3% (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.