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Prediction of secondary testosterone deficiency using machine learning: A comparative analysis of ensemble and base classifiers, probability calibration, and sampling strategies in a slightly imbalanced dataset

Research article (Informatics in Medicine Unlocked, 2021) · cited 10× · AI/ML
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Prediction of secondary testosterone deficiency using machine learning: A comparative analysis of ensemble and base classifiers, probability calibration, and sampling strategies in a slightly imbalanced dataset

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Prediction of secondary testosterone deficiency using machine learning: A comparative analysis of ensemble and base classifiers, probability calibration, and sampling strategies in a slightly imbalanced dataset is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of secondary testosterone deficiency using machine learning: A comparative analysis of ensemble and base classifiers, probability calibration, and sampling strategies in a slightly imbalanced dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-secondary-testosterone-deficiency-using-machine-learning-a-comparative-analysis-of-ensemble-and-base-class
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BibTeX @misc{4ortxyz_prediction-of-secondary-testosterone-deficiency-using-machine-learning-a-comparative-analysis-of-ensemble-and-base-class_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of secondary testosterone deficiency using machine learning: A comparative analysis of ensemble and base classifiers, probability calibration, and sampling strategies in a slightly imbalanced dataset}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-secondary-testosterone-deficiency-using-machine-learning-a-comparative-analysis-of-ensemble-and-base-class}, note = {Accessed: 2026-05-24}}
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