Lesson 8 Lecture

By the end of this lesson and workshop you will understand the basic principles and methods behind a class of machine learning algorithms called 'supervised learning' and you will be able to apply at least two such methods - logistic regression and naive Bayes - to real data using Excel and AgenaRisk respectively. You will understand how the 'accuracy' of prediction and decision-making algorithms is usually assessed (ROC curves) and be able to compute these in Excel. For problems where you know the causal structure you will be able to use AgenaRisk to automatically learn the table values from data.