The confusion matrix analysis results of logistic regression model in this study.

The confusion matrix analysis results of logistic regression model in this study.

<p>The confusion matrix analysis results of logistic regression model in this study.</p>

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Bibliographic Details
Main Author:	Yang Li (7082) (author)
Other Authors:	Bin Wang (30851) (author), Xiangdong Luo (461876) (author), Mingqin Zhang (22560027) (author), Qinrui Hu (22560030) (author), Xiaoxin Li (128947) (author)
Published:	2025
Subjects:	Neuroscience Biotechnology Infectious Diseases Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified significantly impairs vision shapley additive explanations sectional epidemiological investigation related macular degeneration machine learning models extreme gradient boosting evaluating multiple models model &# 8217 fujian eye study lr ), k educational background identified predicting amd risk xlink "> age xlink "> educational background study confirms risk prediction model training osse ), lightgbm ), xgboost ). shap values retinal disorder predictive features nearest neighbors logistic regression key components highest influence feature selection data preprocessing balanced accuracy average shap 8211 records 39 features
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Summary:	<p>The confusion matrix analysis results of logistic regression model in this study.</p>

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