RAPID ASSIMILATION OF THE DECISION TREE LEARNING ALGORITHM

Authors

  • Sultangaliev Amirkhan Manasovich 2nd Year of Master's Degree Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi

Keywords:

Decision tree, algorithms, classification

Abstract

We know that it will take a very long time to learn for a decision tree, and to solve this problem, we offer several ways of learning that will not take much time.

References

Classification and Regression Trees / L. Breiman, J. H. Friedman, R. A. Olshen, C.T. Stone // Wadsworth. Belmont. California. 1984.

Mitrofanov S. A. Primenenie neyroevolyucionnogo podxoda pri reshenii zadach klassifikacii // Reshetnevskie chteniya: Materials of the XXI International Scientific Conference (November 11-14, 2014, Krasnoyarsk) : at 3 o'clock / under the general editorship of Yu. Yu. Loginov; SibGU named after M. F. Reshetnev. Krasnoyarsk, 2017. No. 2 (21). pp. 226-227.

Kushnareva T. V., Lipinsky L. V. Algoritm geneticheskogo programmirovaniya dlya avtomatizirovannogo formirovaniya derevyev prinyatiya resheniya // Reshetnevskie chteniya : Materials of the XVIII International Scientific Conference (November 11-14, 2014, Krasnoyarsk) : at 3 o'clock / under the general editorship of Yu. Yu. Loginov ; Sib. gos. aerospace. un-T. Krasnoyarsk, 2014. No. 1 (18). pp. 84-86

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Published

2022-05-23

Issue

Vol. 10 No. 5 (2022): GIIRJ

Section

Articles

License

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.