Geodesic
On extrapolation properties of the statistical classifier
Informacionnye tehnologii i vyčislitelnye sistemy, no. 4 (2020), pp. 78-89.

Voir la notice de l'article provenant de la source Math-Net.Ru

The problem of determining the ability to extrapolate a statistical classifier intended for assessing the state of human health by the parameters of peripheral blood is considered. A numerical method is used to study the characteristics of the set obtained from the training in the process of gradually increasing distortion. The extrapolation properties of the classifier and the dynamics of the probabilistic estimates generated by it are described.
Keywords: human health state, body system, peripheral blood, learning set.
Mots-clés : classification, polynomial regression 
@article{ITVS_2020_4_a6,
     author = {B. M. Gavrikov and N. V. Pestryakova},
     title = {On extrapolation properties of the statistical classifier},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {78--89},
     publisher = {mathdoc},
     number = {4},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2020_4_a6/}
}
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B. M. Gavrikov; N. V. Pestryakova. On extrapolation properties of the statistical classifier. Informacionnye tehnologii i vyčislitelnye sistemy, no. 4 (2020), pp. 78-89. http://geodesic.mathdoc.fr/item/ITVS_2020_4_a6/