Model Diagnostics, Machine Learning.
resulting value of 0.82, which is then rounded to the nearest available value, namely 0.8. Finally, the perturbed quantile is transformed back to the original scale, resulting in a value of 40. Case Study Suppose we are given some example models, for the Taiwan Credit data. The Python notebooks can