public:t-622-arti-12-1:lab_5_-_learning_decision_trees
Learning Decision Trees
Material:
Tasks:
- Change the existing code, so that it prints (the necessary data) for a learning curve.
- Plot the learning curves for all three data sets (monk-1, monk-2, monk-3) and interpret them.
- Are the trees that are learned consistent with the training data? If not, what could be the reason?
- Look at the true functions for the three data sets in monk.names (Section 9). Design a good decision tree for each of the concepts by hand.
- Compare these decision trees to the ones that were learned by the algorithm (on the whole training data).
Hand In:
- Learning curves for the three data sets.
- Interpretation of the learning curves.
- Answer to 3.
- Decision trees for 4.
- Interpretation of your findings for 5.
/var/www/cadia.ru.is/wiki/data/pages/public/t-622-arti-12-1/lab_5_-_learning_decision_trees.txt · Last modified: 2024/04/29 13:33 by 127.0.0.1