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Abstract <p>In this work, a decision tree of the Bank of Russia is constructed. The resulting algorithm, firstly, allows us to determine which factors are decisive for the Bank of Russia when making decisions on the key rate. Secondly, the algorithm allows us to identify the order of importance of factors and the forks that arise when making decisions. An ensemble of decision trees can be used as a predictive model with high prediction accuracy on a delayed sample.</p>

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Decision Tree of the Bank of Russia

  • 期刊论文

  • 发表日期：

    2025年9月8日

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  • R. R. Latypov,
  • E. A. Akhmedova,
  • E. A. Postolit

摘要

Abstract

In this work, a decision tree of the Bank of Russia is constructed. The resulting algorithm, firstly, allows us to determine which factors are decisive for the Bank of Russia when making decisions on the key rate. Secondly, the algorithm allows us to identify the order of importance of factors and the forks that arise when making decisions. An ensemble of decision trees can be used as a predictive model with high prediction accuracy on a delayed sample.