IMBALANCE OF CLASSES IN SOLVING THE PROBLEM OF SOCIAL NETWORKS USER CLASSIFICATION FOR PROFESSIONAL ORIENTATION

Authors

  • V. Obrubova "Vladimir State University named after Alexander Grigorievich and Nikolai Grigorievich Stoletovs" (VlSU)
  • M. Ozerova "Vladimir State University named after Alexander Grigorievich and Nikolai Grigorievich Stoletovs" (VlSU)

DOI:

https://doi.org/10.31618/nas.2413-5291.2021.2.68.449

Keywords:

classification; imbalance of classes; the paradox of accuracy; recognition accuracy.

Abstract

The problem of data imbalance is often underestimated when solving classification problems. A classification model that looks well trained on your data and gives a good recognition rate may not be reliable. Consideration of this problem in the specific task of classifying users of social networks will make it possible to understand how, why and, most importantly, when it is necessary to get rid from data imbalances.

Author Biographies

V. Obrubova , "Vladimir State University named after Alexander Grigorievich and Nikolai Grigorievich Stoletovs" (VlSU)

2nd year master's student of the Department of Information Systems and Software Engineering

M. Ozerova , "Vladimir State University named after Alexander Grigorievich and Nikolai Grigorievich Stoletovs" (VlSU)

candidate of technical sciences, associate professor

References

8 taktik dlya borby s nesbalansirovannymi klassami v vashem nabore dannyh mashinnogo obucheniya – rezhim dostupa: https://www.machinelearningmastery.ru/tactics-tocombat-imbalanced-classes-in-your-machine-learningdataset/

Samir, A. Transfer learning for class imbalance problems with inadequate data / A. Samir, K. R. Chandan // Knowl Inf Syst 48. — 2015. — P. 201–228.

Weka Wiki – rezhim dostupa: https://waikato.github.io/weka-wiki/

Mahsotova, C. V. Issledovanie metodov klassifikacii pri nesbalansirovannosti klassov / C. V. Mahsotova // Nauchnyj zhurnal. – 2017. – № 5(18). – S. 35-36.

Starovojtov V. V. Ob ocenke rezultatov klassifikacii nesbalansirovannyh dannyh po matrice oshibok / V. V. Starovojtov, Yu. I. Golub // Informatika. – 2021. − T. 18, № 1. – S. 61–71.

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Published

2021-07-10

Issue

Vol. 2 No. 68 (2021)

Section

Статьи

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