Evaluation index after Random Forest optimization parameters.

<p>Evaluation index after Random Forest optimization parameters.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Xinyi Wei (2973381) (author)
مؤلفون آخرون:	Boyu Shi (7858166) (author)
منشور في:	2025
الموضوعات:	Medicine Biotechnology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified related pathogenic factors prolonged recovery periods principal component analysis poses significant threats major cardiovascular disorder complicate accurate diagnosis random forest model data imbalance issue 27 %, respectively 03 %, respectively combining data balancing score reached 93 prevention face challenges limited medical resources efficient diagnostic tool pca </ p model accuracy increased data balancing efficient diagnostic best model 26 %, precise prevention medical professionals limited efficacy challenges posed score increased diagnostic indicators accuracy increased traditional methods study provides scientific foundation reducing bias predictive framework optimization experiment high costs grid search global shortage global health decision trees classification tasks 58 %.
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