首页|IMDEA Networks Institute Reports Findings in COVID-19 (Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection)
IMDEA Networks Institute Reports Findings in COVID-19 (Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Coronavirus - COVID-19 is the subject of a report. According to newsoriginating from Madrid, Spain, by NewsRx correspondents, research stated, “In this paper, we evaluatethe performance and analyze the explainability of machine learning models boosted by feature selectionin predicting COVID-19-positive cases from self-reported information. In essence, this work describes amethodology to identify COVID-19 infections that considers the large amount of information collected bythe University of Maryland Global COVID-19 Trends and Impact Survey (UMD-CTIS).”
NETL
NSTL
