Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights

Research article (Cancer Immunology Immunotherapy, 2024) · cited 42× · AI/ML
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Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights

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Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-cancer-classification-a-hybrid-rdo-xgboost-approach-for-feature-selection-and-predictive-insights
MLA “Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-cancer-classification-a-hybrid-rdo-xgboost-approach-for-feature-selection-and-predictive-insights.
BibTeX @misc{4ortxyz_optimizing-cancer-classification-a-hybrid-rdo-xgboost-approach-for-feature-selection-and-predictive-insights_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-cancer-classification-a-hybrid-rdo-xgboost-approach-for-feature-selection-and-predictive-insights}, note = {Accessed: 2026-05-24}}
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