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PERform: assessing model performance with predictivity and explainability readiness formula
Journal of Environmental Science and Health, Part C ( IF 1.650 ) Pub Date : 2024-04-15 , DOI: 10.1080/26896583.2024.2340391 Leihong Wu 1 , Joshua Xu 1 , Weida Tong 1
Journal of Environmental Science and Health, Part C ( IF 1.650 ) Pub Date : 2024-04-15 , DOI: 10.1080/26896583.2024.2340391 Leihong Wu 1 , Joshua Xu 1 , Weida Tong 1
Affiliation
In the rapidly evolving field of artificial intelligence (AI), explainability has been traditionally assessed in a post-modeling process and is often subjective. In contrary, many quantitative metr...
中文翻译：
PERform：使用预测性和可解释性准备公式评估模型性能
在快速发展的人工智能 (AI) 领域，可解释性传统上是在建模后过程中评估的，而且通常是主观的。相反，许多定量指标...
更新日期：2024-04-15
中文翻译：
PERform：使用预测性和可解释性准备公式评估模型性能
在快速发展的人工智能 (AI) 领域，可解释性传统上是在建模后过程中评估的，而且通常是主观的。相反，许多定量指标...
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