Accuracy scores (CV scores) vs all important random forest hyperparameters. CV scores have been computed through cross-validation, varying a single random forest hyperparameter while keeping all others constant. The red dashed line represents the average of these scores, and the gray shaded area indicates their standard deviation (1σ). By analyzing these curves, we can determine the range for each hyperparameter, which is crucial for reducing the number of hyperparameter combinations during the grid-search optimization procedure.