Probability, Calibration, Machine Learning, Data Science, Model Tuning.
splits, prioritizing accuracy over probabilistic calibration. Similarly, support vector machines prioritize widening the margin rather than optimizing probabilities. Furthermore, deep neural networks often employ techniques like dropout to prevent overfitting, which may impact their calibration. To