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RETRACTION article

Front. Environ. Sci., 03 October 2025

Sec. Environmental Economics and Management

Volume 13 - 2025 | https://doi.org/10.3389/fenvs.2025.1712995

This article is part of the Research TopicFuzzy Decisions and Machine Learning Methods in Climate ChangeView all 8 articles

Retraction: Energy stability and decarbonization in developing countries: random forest approach for forecasting of crude oil trade flows and macro indicators

A Retraction of the Original Research article
Energy stability and decarbonization in developing countries: random Forest approach for forecasting of crude oil trade flows and macro indicators

by Nyangarika A, Mikhaylov A, Muyeen SM, Yadykin V, Mottaeva AB, Pryadko IP, Barykin S, Fomenko N, Rykov G and Shvandar K (2022). Front. Environ. Sci. 10:1031343. doi: 10.3389/fenvs.2022.1031343

The Journal retracts the 30 November 2022 article cited above.

Following publication, concerns were raised regarding the contributions of the authors of the article, as well as the scientific validity of the article. Our investigation, conducted in accordance with Frontiers policies, confirmed a serious breach of our authorship policies and that the conclusions of the article have been deemed unreliable. The article does not meet the standards of editorial and scientific soundness for Frontiers in Environmental Science; the article is therefore retracted.

This retraction was approved by the Chief Editors of Frontiers in Environmental Science and the Chief Executive Editor of Frontiers. The authors do not agree to this retraction.

Citation: Frontiers Editorial Office (2025) Retraction: Energy stability and decarbonization in developing countries: random forest approach for forecasting of crude oil trade flows and macro indicators. Front. Environ. Sci. 13:1712995. doi: 10.3389/fenvs.2025.1712995

Received: 25 September 2025; Accepted: 25 September 2025;
Published: 03 October 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

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*Correspondence: Frontiers Editorial Office, cmVzZWFyY2guaW50ZWdyaXR5QGZyb250aWVyc2luLm9yZw==

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