Figure 2
From: Missing value imputation in high-dimensional phenomic data: imputable or not, and how?
Diagram of evaluating performance of STS scheme in a real complete data set (CD). Missing data sets are randomly generated for 20 times (MD1, …, MD20). The STS scheme is applied to learn the best method from STS simulation (denoted as Mb,STS for the b-th missing data set MDb). The true best (in terms of RMSE) method for MDb is denoted as Mb* and the STS best (in terms of RMSE across MDb,1, …, MDb,20) method is denoted as Mb,STS. When Mb,STS = Mb*, the STS scheme successfully selects the optimal method.