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Chapter Post-stratification as a tool for enhancing the predictive power of classification methods
It is well known that, in classification problems, the predictive capacity of any decision-making model decreases rapidly with increasing asymmetry of the target variable (Sonquist et al., 1973; Fielding 1977). In particular, in segmentation analysis with a categorical target variable, very poor improvements of purity are obtained when the least represented modality counts less than 1/4 of the cases of the most represented modality.
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Firenze University Press.,
2021
- Collation
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6
- Language
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English
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9788855184618
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NONE
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text
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computer
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online resource
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Angga
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https://directory.doabooks.org/handle/20.500.12854/82026
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