首页|Investigators from Zhengzhou University Report New Data on Machine Learning (Pre diction of Flood Risk Levels of Urban F Looded Points Though Using Machine Learn ing With Unbalanced Data)
Investigators from Zhengzhou University Report New Data on Machine Learning (Pre diction of Flood Risk Levels of Urban F Looded Points Though Using Machine Learn ing With Unbalanced Data)
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 – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Henan, People ’s Republic of China, by NewsRx journalists, research stated, “Withthe emphasis on preventing urban flooding and the enhancement of rational urban development, datarelated to urban flooding are also collected with unbalanced sample size t hat is a widespread phenomenonin other world fields. The performance of the cla ssification model is compromised by unbalanced datasets,therefore, minority-cla ss samples, floods with higher risk, are often missing alerted or incorrectly wa rned.”
HenanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningZhengzhou University
NETL
NSTL
