Evaluation of Machine Learning Performance.

<div><p>This paper aims to examine the influence mechanism of education level as a key situational factor in the relationship between risk perception and behavioral response, encompassing both behavioral intention and preparatory behavior. Utilizing non-parametric estimation techniques i...

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Main Author:	Zhipeng Wei (1418458) (author)
Other Authors:	Zhichun Zhang (713603) (author), Liping Guo (596697) (author), Wenjie Zhou (4004717) (author), Kehu Yang (192609) (author)
Published:	2025
Subjects:	Sociology Developmental Biology Science Policy Mental Health Biological Sciences not elsewhere classified statistical testing corroborates robust scientific foundation parametric estimation techniques model &# 8217 key situational factor 27 influencing factors xlink "> xgboost algorithms utilizing non significant influence risk perception random forest preparatory behavior paper aims machine learning influence mechanism findings indicate education level behavioral response behavioral intention 20 %,
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Evaluation of Machine Learning Performance.

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