Thurs Feb 21 Reading Questions
Please respond to these questions by Thurs Feb 21 noon at the latest about Lecture 5 readings
We greatly appreciate short answers: phrases and incomplete sentences are okay! We are not expecting you to spend a long time on this; the goal is to check that you've read the articles and to raise discussion points that we will go over in class. If you submit multiple times, we will grade the most recent response before the deadline.
MIT email (e.g.
[Caruana et al.] What are the different approaches that the authors suggest for interpreting the results from learning with few versus very many features, and why are the different approaches needed?
[Caruana et al.] What utility does introducing a bias term serve in terms of improving the interpretability of the learned model?
[Futoma et al.] Before their "real-time validation" experiment, how do they decide how much data to consider for a negative example (i.e. one who never develops sepsis)?
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