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.
|Author||Erin LeDell, Stephanie Sapp, Mark van der Laan|
|Maintainer||Erin LeDell <[email protected]>|
|License||Apache License (== 2.0)|
|Package repository||View on GitHub|
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