Classifier Evaluation

(a) Consider the decision tree shown below for classifying a dataset that contains examples that belong to 2 classes (positive or negative). The distribution of training examples that were assigned to each leaf node is also shown in the diagram. Draw a 2 2 confusion matrix of the tree.

Solution:

(b) Calculate the training error rate of the decision tree.

Solution:

(c) Calculate the F1-measure of the tree for the training data.

Solution:

2 3 0 2 5 31 2 3 0 2 5 31