Lecture 21 Quiz
Decision trees are interpretable because...
We know the rule used to split at every node.
We know the path traversed to reach our conclusion.
We can visualize the space that the decision tree partitions.
All of the above
None of the above
Decision trees cannot be used for regression.
Which is true of ensemble methods?
The EM algorithm can be applied whether the cluster labels for each point (the z terms) are observed or not
The Gaussian mixture model will assign the highest probability to the points in in the largest clusters.
Creating an ensemble of three of the same model is guaranteed to maintain the interpretability of the original model.
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