which of the following are true for ensembles? 1. Model averaging is always the most successful ensemble
Fantastic news! We've Found the answer you've been seeking!
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 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
Related Book For
Posted Date: