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predicted to experience G-LOC. Recall was defined as the percentage of subjects who were predicted to experience G-LOC in subjects who experienced G-LOC. Accuracy was defined as the percentage of all subjects who were correctly predicted to experience or not to experience G-LOC. Table I. Confusion Matrix. The performance of classifiers depends on the hyperparameters. For this reason, optimization of the hyperparameters was repeated 500 times for each classifier using Bayesian optimization to maximize using accuracy as an index, and the optimized results were

arterial CO 2 may affect cognition were the primary factors in our decision to include P ET co 2 in our GAMM models. The selection of group-level main effects and interaction terms was determined using a backward selection method based on the Akaike’s Information Criteria score. 18 The final GAMM model was fit using the restricted maximal likelihood method, cubic regression penalties for nonlinear smooths, the hyperparameter γ, which was calculated using Bayesian Information Criterion-like parameters [i.e., log(n)/2] to reduce overfitting, and a false discover P