CPR models

CPR models, or Conditional Probability Regression models, are statistical tools used to estimate the likelihood of an event based on certain conditions or inputs. They analyze data to understand relationships between variables and predict outcomes probabilities given specific factors. For example, they can assess how likely a patient is to recover based on age, health, and treatment received. These models are valuable for making data-driven decisions in areas like healthcare, finance, and marketing by providing probabilistic insights that inform strategic actions and resource allocation.