“…In addition, the search iteration for the random search and Bayesian optimization was set to 75 with reference to the analysis of previous studies using ML algorithms in other fields (Table 2). (33) K-fold cross-validation was adopted to select the optimum HP. This method can obtain 0.1-3% more accurate results than the hold-out method, which performs training and validation only once.…”
Section: Hp Optimization With Grid Search Random Search and Bayesian Optimizationmentioning
“…In addition, the search iteration for the random search and Bayesian optimization was set to 75 with reference to the analysis of previous studies using ML algorithms in other fields (Table 2). (33) K-fold cross-validation was adopted to select the optimum HP. This method can obtain 0.1-3% more accurate results than the hold-out method, which performs training and validation only once.…”
Section: Hp Optimization With Grid Search Random Search and Bayesian Optimizationmentioning
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