Table 1 presents the cross-validation settings of both datasets.
(8) Table 1 The cross-validation settings of datasets Dataset Training Test Validation Replication StarPlus 60 10 10 10 Haxby 6 5 1 12 Note that StarPlus dataset is measured in samples, while the Haxby dataset is measured in trials.
Such approaches have been shown to be broadly applicable, with a high degree of success in predicting gene function in cross-validation settings [39], [40], [41], [42], [43].
This performance was obtained under various cross-validation settings (2-fold, 5-fold, 10-fold, leave-one-out - where n-fold cross-validation means that (n-1)/n of the dataset is used to learn, and the remaining 1/n for prediction - this is repeated n times, and the average performance is reported).
However, in small validation ratio settings, (hat {beta }_{V}) is not expected to perform well, since it uses only the observations in the validation set for smoothing.
We applied the same method to x- y microscopy images collected for flow validation, with settings Δ t ij = 0.55s, X = 20 and Y = 20 pixels, Δ xmax = 5 and Δymax = 13 pixels, and otherwise the same settings as for OCT.
However, like aMCI efforts are needed to standardise criteria and develop an operational protocol for any new stage of disease (eg, prodromal AD and pre-MCI) and to undertake validation across settings including oldest-old age groups and populations (vs clinical samples).
First, because the PHO Risk Screening Tool was developed and validated in a Canadian public health setting, additional validation in diverse settings is recommended to verify the external validity of the Risk Screening Tool in other settings and regions.
Several other studies that discuss validation in community settings also used qualified health staff, often in a clinical setting (22– 22).
