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mean squared error

  • 均方误差:在统计学和机器学习中,均方误差是一种衡量预测值与真实值之间差异的度量。它计算预测值与真实值之间差异的平方的平均值。均方误差越小,表示预测值与真实值越接近。

专业释义英英释义

  • 均方误差

·2,447,543篇论文数据,部分数据来源于NoteExpress

Mean squared error

  • abstract: In statistics, the mean squared error (MSE) of an estimator is one of many ways to quantify the difference between values implied by an estimator and the true values of the quantity being estimated. MSE is a risk function, corresponding to the expected value of the squared error loss or quadratic loss.

以上来源于: WordNet

双语例句

  • The evaluation criterion is the root mean squared error (RMSE) between predicted ratings and true ones.

    评判标准预测打分真实之间的均误差(RMSE)。

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  • It obtains low average mean squared error (MSE), fast convergence velocity and decreases the noise sensitivity at the same time.

    方法计算简单、误差收敛速度并且降低了算法噪声敏感性

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  • Generation into the optimal threshold AMSE (asymptotic mean squared error) provide options for moment estimates order of shape parameter.

    阀值渐近均方误差我们提供了形状参数估计选择依据。

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