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Schematic procedure for selecting the optimal model from the 63 models using MTA data. We introduced three comparison criteria to select the optimal model: the Akaike information criterion (AIC), Bayesian information criterion (BIC), and prediction error (mean square error [MSE]) in cross-validation (CVMSE).
#Workflow#Flowchart#Schematic procedure#Optimal model#MTA data#Akaike information criterion#Bayesian information criterion#Prediction error#Cross-validation
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