Accuracy of Random Forest regression models (Yt, Yt+1 for yield, t for current year, Ft for fertilization regime, and Ct for tissue composition) using the Quebec 2014–2018 fertilization trials with cultivar “Stevens”.

Accuracy of Random Forest regression models (Yt, Yt+1 for yield, t for current year, Ft for fertilization regime, and Ct for tissue composition) using the Quebec 2014–2018 fertilization trials with cultivar “Stevens”.本数据集围绕采用魁北克2014至2018年施肥试验与“史蒂文斯（Stevens）”品种构建的随机森林回归模型（Random Forest regression models）的预测精度展开说明，该模型所采用的变量包括：表征产量的Yt与Yt+1（其中t指代当前年份）、代表施肥制度的Ft以及代表组织组成的Ct。