Optimisation# Labelling data and comparing classification algorithms Decision trees: finding optimal criterion (‘gini’ or ‘entropy’) k-NN: finding optimal weight function (‘distance’ or ‘uniform’) Comparing random forest classifier performance Random forests: finding optimal criterion (‘gini’ or ‘entropy’)