A decision tree has low training error and a large test error. What is the possible problem?
A. Decision tree is too shallow
B. Learning rate too high
C. There is too much training data
D. Decision tree is overfitting
Answer:D
A decision tree has low training error and a large test error. What is the possible problem?
A. Decision tree is too shallow B. Learning rate too high C. There is too much training data D. Decision tree is overfitting