In this session we'll take a look at how we can avoid some of the problems of decision trees by using an ensemble method - random forests.
We also find out an easier way of calculating sensitivity, specificity and precision in one function, as well as hearing about a new metric called f1 score, and we learn about the confusion matrix, which is a powerful tool for helping to break down how different models perform.
Slides : docs.google.com/presentation/...
Repository: github.com/hsma-programme/h6_...
HSMA Website : sites.google.com/nihr.ac.uk/hsma