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Although the verification set is used to identify the best network, actually, training algorithms do not use the verification set to adjust network weights.
This data is verified through the verification set also gathered from the simulator.
The objective function is evaluated against the verification set after each iterative incremental improvement with respect to the training set and network training is halted when the objective function for the verification set fails to improve for 15 consecutive iterations.
The Nash Sutcliffe (N S) coefficient of efficiency was used to assess the quality of prediction of the verification set as a function of the length of the calibration set.
The sample blinding code was broken only according to the pre-specified analysis plan for the purposes of classifier training with the training set and classifier verification with the verification set.
Seven samples from the iTRAQ analysis were included in the verification set, two benign and five malignant samples.
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We followed a pre-specified two-phase analysis plan to identify biomarkers and develop a classifier to distinguish lung cancer subjects from controls within the training set (training phase) and to verify the classifier performance with the blinded independent verification set (verification phase).
The classification performance of the fixed algorithm was tested on the blinded independent verification set and verified by a third party reader to achieve 89% sensitivity and 83% specificity, nearly matching the training set performance.
The optimal network parameters were selected according to the RMSE of verification set.
As for L-ANN, the aim of training algorithm is to minimize the RMSE of verification set [22].
Two thirds of the training pool was used for training and the remaining third served as a verification set.
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