What are the accuracy, precision, recall, and F1-measure of the decision tree? (Note that precision, recall, and F1-measure are defined with respect to the “+” class.)

Following is a data set that contains two attributes, X and Y , and two class

labels, “+” and “?”. Each attribute can take three different values: 0, 1, or 2.



The concept for the “+” class is Y = 1 and the concept for the “?” class is

X = 0 ? X = 2.

The confusion matrix on the training data: