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RM calculation

RM计算是一种统计分析方法,常用于评估预测模型的准确度。RM代表均方根误差(Root Mean Squared Error),是预测值与真实值之间差别的平均值的平方根。通常情况下,RM越小,表示预测模型的准确度越高。因此,RM计算是数据科学家和机器学习工程师常用的指标之一。


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