Beijing Academy of Agriculture and Forestry Sciences Researchers Update Current Data on Machine Learning (Using the Pearson’s correlation coefficient as the sol e metric to measure the accuracy of quantitative trait prediction: is it suffici ent?)

Robotics & Machine Learning Daily News2024，Issue(Dec.25) ：31-31.

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Beijing Academy of Agriculture and Forestry Sciences Researchers Update Current Data on Machine Learning (Using the Pearson’s correlation coefficient as the sol e metric to measure the accuracy of quantitative trait prediction: is it suffici ent?)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting outof Beijing, People’s Republic of China, by NewsRx editors, research stated, “How to evaluate the accuracyof q uantitative trait prediction is crucial to choose the best model among several p ossible choices in plantbreeding.”

Key words

Beijing Academy of Agriculture and Fores try Sciences/Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Techn ologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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