Subsemble is a general subset ensemble prediction method, which can be used for small, moderate, or large datasets. Subsemble partitions the full dataset into subsets of observations, fits a specified underlying algorithm on each subset, and uses a unique form of V-fold cross-validation to output a prediction function that combines the subset-specific fits. An oracle result provides a theoretical performance guarantee for Subsemble.
|License:||GPL (>= 2)|
Author: Erin LeDell, Stephanie Sapp, Mark van der Laan
Maintainer: Erin LeDell <[email protected]>
Stephanie Sapp, Mark J. van der Laan & John Canny, Journal of Applied Statistics (2013). Subsemble: An ensemble method for combining subset-specific algorithm fits
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