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 3:Classification results based on leave-one-out cross-validation approach for each of the 6 groupingsa
Comparison AUC and 95% CI Sensitivity Specificity (A) 0.96 (0.91–1) 0.88 0.96 (B) 0.98 (0.94–1) 1.00 0.98 (C) 0.98 (0.94-1) 0.98 1.00 (D) 0.81 (0.54–1) 0.82 0.94 (E) 0.82 (0.58–1) 0.82 0.93 (F) 0.93 (0.84–1) 0.91 0.91
Note:—AUC indicates area under the curve.
↵a These include the AUCs with the corresponding 95% CIs, sensitivity, and specificity. The groupings and comparisons indicated as (A)-(F) are described in Table 1.