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
                )

        )

)
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
                )

        )

)


Table 2: 
Brain age prediction model comparison based on MAE and correlation between true and predicted agea
ModelMAE RawMAE Corr.Correlation RawCorrelation Corr.
RFC3.162.890.70 (P < .001)0.84 (P < .001)
SVM (reg.)3.542.660.66 (P < .001)0.86 (P < .001)
Log. Reg.4.063.100.56 (P < .001)0.79 (P < .001)
RFR3.212.460.74 (P< .001)0.87 (P < .001)
  • Note:—corr. indicates corrected; reg., regression; Log. Reg, Logistic Regression.
  • ↵a Results using the raw and corr. brain ages are shown for comparison.