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Image of Chapter Post-stratification as a tool for enhancing the predictive power of classification methods
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Chapter Post-stratification as a tool for enhancing the predictive power of classification methods

d'Ovidio, Francesco Domenico - Personal Name; D'Uggento, Angela Maria - Personal Name; mancarella, rossana - Personal Name; TOMA, Ernesto - Personal Name;

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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Detail Information
Series Title
-
Call Number
-
Publisher
: Firenze University Press., 2021
Collation
6
Language
English
ISBN/ISSN
9788855184618
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
stratification
Specific Detail Info
-
Statement of Responsibility
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Other Information
Cataloger
Angga
Source
-
Validator
-
Digital Object Identifier (DOI)
https://directory.doabooks.org/handle/20.500.12854/82026
Journal Volume
-
Journal Issue
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Subtitle
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Parallel Title
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  • Chapter Post-stratification as a tool for enhancing the predictive power of classification methods
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