Stacked Generalization¶
Wolpert, D. H. (1992). Stacked Generalization. Neural Networks, 6080(05), 241-259.
Cited by¶
1 citation across 1 artifact.
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Mechanisms¶
- Ensemble Feature Readout Model
- The guarding discipline is a strict holdout for meta-training and an informal spot-check of which features drove any surprising output, following the layered-readout logic of stacked generalization.
This sourceUses out-of-sample base-model predictions to train a second-level stacked generalizer.
- The guarding discipline is a strict holdout for meta-training and an informal spot-check of which features drove any surprising output, following the layered-readout logic of stacked generalization.
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