COMPUTING SYSTEMS AND NETWORKS
CONTROL AND DECISION-MAKING
B.M. Gavrikov, M. B.Gavrikov, N. V. Pestryakova On the Ability of a Statistical Classifier to Generalize
MATHEMATICAL MODELING
SOFTWARE ENGINEERING
B.M. Gavrikov, M. B.Gavrikov, N. V. Pestryakova On the Ability of a Statistical Classifier to Generalize
Abstract. 

The ability to generalize the statistical classifier designed to assess the state of human health  by the parameters of peripheral blood is being studied. A mathematical model is described and implemented for the numerical study of interpolation and extrapolation properties of the classifier developed by the authors, based on the polynomial-regression approach and having probabilistic estimates. 

Keywords: 

human health state, body system, peripheral blood, classification, polynomial regression, learning set. 

PP. 38-50.

DOI 10.14357/20718632210404 
 
References

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