Conducting a fair performance evaluation
Holding out test data reduces the amount of data available for growing the decision tree. In spite of this, it is very important to evaluate decision trees on data it has not seen before.
Which of these is NOT true about the evaluation of decision tree performance?
This exercise is part of the course
Supervised Learning in R: Classification
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
