Which statement describes overfitting?
When a predictive model is accurate but takes too long to run.
When you apply a powerful learning algorithm to a simple learning problem.
When the model learns specifics of the training data that cannot be generalized to a larger data set.
When you perform hyperparameter tuning and performance degrades.
In the decision tree shown below, nodes contain pairs of numbers representing the number of positive examples and the number of negative examples at that node. What pair of a,b values will give the largest possible amount of information gain? Enter your answer as a comma-separated pair of integers with no spaces (e.g. 2,3). Answer: