Table 2.

Performance evaluation matrix for missing observation

Method	Precision of the method (Training data set)	Precision of the Method (Validation data set)
MI	0.7791	0.7411
PD	0.6950	0.6701
MS	0.8113	0.7931
GP	0.8312	0.8101
ML	0.7931	0.7313
EM	0.7804	0.7801
LOCP	0.7173	0.7305

MI – mutual information, PD – posterior distribution, MS –mean square, GP – Gaussian process, ML – machine learning, EM – early measure, LOCP – low order current position