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. 2022 Nov 22;12:20136. doi: 10.1038/s41598-022-24435-8

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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During the feature selection phase, correlated DRF were filtered out from (a) the initial predictor importance ranking to produce (b) the final predictor importance ranking after removing the lower ranked correlated features using (b) the Correlation Matrix between the DRF. This example corresponds to iCBCT-SHARP-VeryLow-Llo-1 for Sub-Acute GU toxicity.

During the feature selection phase, correlated DRF were filtered out from (a) the initial predictor importance ranking to produce (b) the final predictor importance ranking after removing the lower ranked correlated features using (b) the Correlation Matrix between the DRF. This example corresponds to iCBCT-SHARP-VeryLow-Llo-1 for Sub-Acute GU toxicity.