'neg_mean_squared_error' 是 scikit-learn 中用于回归模型评估的一个指标,表示负均方误差(Negative Mean Squared Error)。均方误差(Mean Squared Error, MSE)是衡量模型预测值与真实值之间差异的一种常用方法,通过将每个预测值与真实值的差的平方求平均来计算。然而,在 scikit-learn 中,为了与最大化评分(maximize...
'neg_max_error':func:`metrics.max_error` 'neg_mean_absolute_error':func:`metrics.mean_absolute_error` 'neg_mean_squared_error':func:`metrics.mean_squared_error` 'neg_root_mean_squared_error':func:`metrics.root_mean_squared_error`
We have evaluated the final image quality obtained, measuring a root mean squared error between the noise-free initial image and the final restored image and compared the results obtained by this diffusive filter with those obtained by an adaptative non-linear Wiener filter...
In it was an example of how to analyze count data, using the square root transformation. At the bottom of page 384, it said, "For reporting of means the transformed means are squared again and confidence limits are reported in lieu of standard errors." So, I supposed ...
In it was an example of how to analyze count data, using the square root transformation. At the bottom of page 384, it said, "For reporting of means the transformed means are squared again and confidence limits are reported in lieu of standard errors." So, I supposed t...