Question
which of the following are true for ensembles? 1. Model averaging is always the most successful ensemble method 2. Help mitigate overfitting (but do not
which of the following are true for ensembles?
1. Model averaging is always the most successful ensemble method
2. Help mitigate overfitting (but do not sure it)
3. Facilitate "parallel processing" e.g. in contests where multiple teams' models can be combined
4. methods like trees don't lose transparency when ensembled
5. General perform better than individual models
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Answer 2 3 5 Explanation Ensembles are a powerful predictive modeling technique that combines multip...
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Microeconomics
Authors: Dean Karlan, Jonathan Morduch
1st edition
978-0077332587, 007733258X, 978-0077332648, 77332644, 978-1259163531
