Figure 5.
Effect of non-random spiked-in missing data on imputation (measured in root mean squared error). Autoencoder w/Dropout (2 layer 500 nodes each), SVD – SVDImpute with rank of 40, KNN - KNNimpute with 7 neighbors, Mean – Column Mean Averaging, Median – column median averaging, SI – SoftImpute.