Normalized RMSE(Root Mean Square Error)是一种常用的模型评估指标,通常用于评估模型的预测精度。它是RMSE的标准化版本,可以将不同数据集的RMSE值进行比较。 Normalized RMSE的计算方法如下: NRMSE = \frac{RMSE}{y{\max} - y{\min}} 其中,RMSE是均方根误差,y{\max}和y{\min}分别是真实值的最大值和最...
简介:Normalized RMSE(Root Mean Square Error)是一种常用的用于评估预测模型的指标,它是在 RMSE 的基础上进行了归一化处理,使得不同数据集之间的 RMSE 可以进行比较。 Normalized RMSE(Root Mean Square Error)是一种常用的用于评估预测模型的指标,它是在 RMSE 的基础上进行了归一化处理,使得不同数据集之间的 RMS...
The validation provides an unbiased estimate of the mean square prediction error (MSE) and is considered an approximation to the leave-one-out cross-validation (Bottegal and Pillonetto, 2018; Wahba, 1985). Furthermore, this is one of the main approaches used to estimate parameters in the ...
The root mean square fluctuations (RMSFs) were generated to evaluate the transplantation effect to the structure. The mutants that showed lower overall RMSF than that of WT were chosen for experimental verification. The enzyme activities of the WT SES7 and all mutants were characterized by kinetic...