Evaluation of Learning Algorithms Using ROC Curve
Explore how to evaluate Bayesian network learning algorithms using ROC curve and AUC metrics. Understand the influence of priors such as BDeu and equivalent sample size on parameter estimation and model reliability.
We'll cover the following...
We'll cover the following...
In this lesson, we will introduce the evaluation of the ROC curve for several parameter combinations, providing a quantitative measure of learning output performance. This analysis will help us understand not just the quality of the CPDs generated but also the predictive power and reliability of each algorithm.
First, we dive into the main ...