Develops conditions for design-unbiased prediction and classification with algorithmic ML methods for finite populations via known probability sampling designs.
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On design-unbiased algorithmic Machine Learning
Develops conditions for design-unbiased prediction and classification with algorithmic ML methods for finite populations via known probability sampling designs.