Comments L8

[raquellrios]

This lecture provides a good introduction to supervised classification, introducing various algorithms. I only have one comment:

• Adding a bullet point stating recommendations on when the use NN, RF or DT (e.g. dataset size, robustness to noise) would improve the students' understanding of the methods.

[raquellrios]

Comments on P8:

• I do not have any comments for this practical, it looks great. It clearly shows how to use extract features of a MD simulations and how to use a random forest to classify the MD conformations of the trajectory.