Linear predictor on linearly-generated data with missing values: non consistency and solutions

3 Feb 2020Marine Le MorvanNicolas ProstJulie JosseErwan ScornetGaël Varoquaux

We consider building predictors when the data have missing values. We study the seemingly-simple case where the target to predict is a linear function of the fully-observed data and we show that, in the presence of missing values, the optimal predictor may not be linear... (read more)

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