Probability, Calibration, Machine Learning, Data Science, Model Tuning.
decisions based on its output. Skitlearn example: import numpy as np import matplotlib.pyplot as plt from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from sklearn.calibration import CalibratedClassifierCV