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At each re-sampling, the overall accuracy and AUC of two datasets were also calculated as size (of testing subgroups -weighted averagesubgroups -weighted
At each permutation re-sampling, SEP of testing patients was calculated with top-ranked genes obtained from training patients; the mean of accuracy and AUC was weighted by size of testing subgroups; values presented were the medians summarized from10,000 re-samplings.
If we identify the inconsistence of prediction performance between the validation set and testing set, we can increase the size of training group (training set and validation set) and decrease the size of testing set by simply moving some samples in the testing set to the training group.
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Obtained results indicate that kinetics and extent of sorption was strongly affected by the particle size of tested magnetites.
The spectral sensitivity σS depends on the materials appearance while the spatial sensitivity σP depends on the size of tested image.
The reasons behind these variable results may be multifactoral, including differences in clones or retrieval processes used; difference in the selected cases for example mucinous versus endometrioid adenocarcinoma; or the small size of tested specimens.
The size of test frames is 1024×1024.
The statistical non-significance is due to the small sample size of test data.
We can intuitively expect that all the metrics mentioned above are related to the size of test suites.
However, we assume that this relationship (higher size of test suite means higher execution cost) is generally valid.
Here n is the size of test set while Eipred and Eiact are the predicted and actual efficacies correspondingly.
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