
B.M. Gavrikov, N. V. Pestryakova, R.V. Stavitskiy On the properties of learning sets 

Abstract.The problem of describing the sets on which the classifier was trained to evaluate the state of human health from the results of the analysis of peripheral blood based on a statistical method using the polynomial regression approach is considered,. A method for studying the structure of a training set for each system of the body according to four classes of its defeat is proposed. Keywords: state of human health, peripheral blood, classification, polynomial regression, training set PP. 97107. DOI 10.14357/207186321804010 References 1. Stavitskii, R.V. [et al.]. 2013. Kolichestvennaya otsenka gomeostaticheskoy aktivnosti zdorovih i bol’nih lyudey. [Quantitative estimation of homeostatic activity in healthy and sick people]. Moscow, GART. 131p. 2. Gavrikov, M.B., and N.V. Pestryakova 2004. Keldysh Institute Preprints. № 22. Metod polinomial’noy regressii v zadachah raspoznavaniya pechatnih i rukopechatnih simvolov. [Polynomial regression method in pattern recognition of printed and handprinted characters]. 12p. 3. Gavrikov, M. B. [et al.]. Automation and Remote Control. –2006. On a Pattern Recognition Method Based on Polynomial Regression // 67(2). p. 278292. DOI: 10.1134/S000511790602007X. 4. Pestryakova, N. V. 2011. Metod raspoznavaniya simvolov, osnovannyy na polinomial'noy regressi [The method of character recognition based on polynomial regression]. M: URSS. 141p. 5. Gavrikov, B.M., Pestryakova N. V. 2018. ITVS. O postroyenii priznakovogo prostranstva v zadache obucheniya. [About building the feature space in the problem of learning]. 1:2229.
