LSTM	Long Short-Term Memory
LR	Linear Regression
MLR	Multivariate Linear Regression
SVD	Singular Value Decomposition
PCA	Principal Component Analysis
MF	Matrix Factorization
CD	Centroid Decomposition
EM	Expectation Maximization
KNN	K Nearest Neighbor
RF	Random Forest
ELM	Extreme Learning Machine
RNNs	Recurrent Neural Networks
VMP	Variable Missing Proportion
SMP	Sample Missing Proportion
CART	Classification and Regression Tree
RMSE	Root Mean Square Error
MSE	Mean Square Error
ARIMA	Autoregressive Integrated Moving Average