Final answer:
Decision trees and RIPPER would not necessarily perform equally well on imbalanced datasets. Hence the correct answer is option B
Step-by-step explanation:
Disagree
Decision trees and RIPPER would not necessarily perform equally well on a dataset in which there are many more instances of one class than the other.
For example, decision trees tend to favor the majority class in imbalanced datasets, while RIPPER is specifically designed to handle imbalanced data and may perform better in this scenario.
Hence the correct answer is option B