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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。

双语例句

  1. The evaluation criterion is the root mean squared error (RMSE) between predicted ratings and true ones.
    评判标准是预测打分和真实值之间的均方误差(RMSE)。
  2. It obtains low average mean squared error (MSE), fast convergence velocity and decreases the noise sensitivity at the same time.
    该方法计算简单、均方误差小、收敛速度快，并且降低了算法对噪声的敏感性。
  3. Generation into the optimal threshold AMSE (asymptotic mean squared error) provide options for moment estimates order of shape parameter.
    代入最优阀值的渐近均方误差为我们提供了形状参数矩估计阶的选择依据。

网络短语

  • Root Mean Squared Error
    均方根误差；均方根；方均根误法；统计回归标准误差
  • Laplacian mean squared error
    拉普拉斯均方误差
  • normalized mean squared error
    归一化均方误差；均方误差
  • Minimum Mean Squared Error
    最小均方误差；小均方误差；最少均方误差
  • Generalized mean squared error
    一般均方差

英英释义

  • 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.