RMSEP:预测均方根误差
“预测均方根误差”(Root Mean Square Error of Prediction)在学术及科学领域,尤其是数学和数据分析相关研究中被广泛使用。为了书写和表达的简便,通常将其缩写为RMSEP。该指标主要用于衡量预测值与实际观测值之间的偏差程度,是模型预测精度评估的重要工具之一。
Root Mean Square Error of Prediction具体释义
Root Mean Square Error of Prediction的英文发音
例句
- The correlation coefficients ( r ) and root mean square error of prediction ( RMSEP ) were used as the model evaluation indices.
- 以预测集的预测相关系数(r),预测标准偏差(RMSEP)作为模型评价指标。
- The model developed by partial least square regression resulted in the best stability, the highest correlation coefficient of the predicted value and the actual value, and the smallest root mean square error of prediction.
- 比较各项模型评价指标发现,偏最小二乘回归(PLS)方法建立的校正模型稳定性最好,预测值与标准值的相关系数最高,预测均方差最小。
- Under optimized conditions, the correlation coefficient ( R ) for prediction models of density was 0.93. The root mean square error of prediction ( RMSEP ) for the established models was 0.017.
- 在参数优化条件下,杉木密度预测模型的相关系数R值为0.93,预测均方根误差(RMSEP)RMSEP值为:0.017。
- The determination coefficient of predicted and root mean square error of prediction ( RMSEP ) in the established model of intact single kernel of oil content reached 0.9684 and 0.429 respectively.
- 建立的完整单粒玉米油份的预测方程,测量的预测决定系数达0.9667,预测均方根差约0.429,说明该方法可以满足育种需要。
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