Stuart Reynolds <stu...@stuartreynolds.net> 於 2020年1月9日 週四 上午10:33寫道：
> Correlated features typically have the property that they are tending to > be similarly predictive of the outcome. > > L1 and L2 are both a preference for low coefficients. > If a coefficient can be reduced yet another coefficient maintains similar > loss, the these regularization methods prefer this solution. > If you use L1 or L2, you should mean and variance normalize your features. > > You mean LASSO and RIDGE both solve multilinearity?
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