Table 5.

Performance of different methods on the real genomic dataset

Technique	Average (MSE (Method)/MSE (Mean Imputation) (S = 5)
	NCR (95% CI)	SCR (95% CI)
SLR (95% CI)	–	7.24 (1.03–13.46)
KNN (95% CI)	–	1.00 (0.99–1.01)
SLRM (95% CI)	0.98 (0.97–1.00)	0.98 (0.97–1.00)
RF (95% CI)	1.03 (0.99–1.06)	1.01 (0.99–1.02)
DMU (95% CI)	0.92 (0.86–0.98)	0.97 (0.92–1.02)

SLR Simple Linear Regression, KNN k Nearest Neighbors based Imputation, SLRM Simple Linear Regression combined with imputation, RF Random Forest-based Imputation, DMU Dynamic Model Updating, SCR Some Complete Rows in training data, NCR No Complete Rows in training data, CI Confidence Interval