Figure 3.

Relative imputation error, ℰ_R(ℐ), stratified and averaged by level of correlation of a data set. Procedures are: RF_otf, ${RF}_{\mathit{otf}}^{(5)}$ (on the fly imputation with 1 and 5 iterations); RF_otfR, ${RF}_{\mathit{otfR}}^{(5)}$ (similar to RF_otf and ${RF}_{\mathit{otf}}^{(5)}$ but using pure random splitting); RF_unsv, ${RF}_{\mathit{unsv}}^{(5)}$ (multivariate unsupervised splitting with 1 and 5 iterations); RF_prx, ${RF}_{\mathit{prx}}^{(5)}$ (proximity imputation with 1 and 5 iterations); RF_prxR, ${RF}_{\mathit{prxR}}^{(5)}$ (same as RF_prx and ${RF}_{\mathit{prx}}^{(5)}$ but using pure random splitting); mRF_0.25, mRF_0.05, mRF (mForest imputation, with 25%, 5% and 1 variable(s) used as the response); KNN (k-nearest neighbor imputation).