Probability, Calibration, Machine Learning, Data Science, Model Tuning.
depending on the learning algorithm employed. For instance, tree-based ensembles like random forests derive their predictions by aggregating individual trees, leading to probabilities that rarely approach zero or one due to the inherent variability in the trees’ predictions. Consequently, these