首页|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?)
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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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.”
Beijing Academy of Agriculture and Fores try SciencesBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging Techn ologiesMachine Learning
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