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A hybridization of XGBoost machine learning model by Optuna hyperparameter tuning suite for cardiovascular disease classification with significant effect of outliers and heterogeneous training datasets

Research article (International Journal of Cardiology, 2024) · cited 70× · AI/ML
academia openalex:W4404797146
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A hybridization of XGBoost machine learning model by Optuna hyperparameter tuning suite for cardiovascular disease classification with significant effect of outliers and heterogeneous training datasets

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A hybridization of XGBoost machine learning model by Optuna hyperparameter tuning suite for cardiovascular disease classification with significant effect of outliers and heterogeneous training datasets is a scholarly article[1].

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  • A hybridization of XGBoost machine learning model by Optuna hyperparameter tuning suite for cardiovascular disease classification with significant effect of outliers and heterogeneous training datasets's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A hybridization of XGBoost machine learning model by Optuna hyperparameter tuning suite for cardiovascular disease classification with significant effect of outliers and heterogeneous training datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybridization-of-xgboost-machine-learning-model-by-optuna-hyperparameter-tuning-suite-for-cardiovascular-disease-class
MLA “A hybridization of XGBoost machine learning model by Optuna hyperparameter tuning suite for cardiovascular disease classification with significant effect of outliers and heterogeneous training datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybridization-of-xgboost-machine-learning-model-by-optuna-hyperparameter-tuning-suite-for-cardiovascular-disease-class.
BibTeX @misc{4ortxyz_a-hybridization-of-xgboost-machine-learning-model-by-optuna-hyperparameter-tuning-suite-for-cardiovascular-disease-class_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybridization of XGBoost machine learning model by Optuna hyperparameter tuning suite for cardiovascular disease classification with significant effect of outliers and heterogeneous training datasets}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybridization-of-xgboost-machine-learning-model-by-optuna-hyperparameter-tuning-suite-for-cardiovascular-disease-class}, note = {Accessed: 2026-05-24}}
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