Table 2

RMSE for fall prediction

# of historical periods	n=3	n=5
SMA	0.211	0.200
EWMA	0.212	0.197
CP-APR-SMA (rank=10)	0.207	0.196
CP-APR-SMA (rank=20)	0.207	0.196
CP-APR-SMA (rank=30)	0.211	0.197
CP-APR-EWMA (rank=10)	0.217	0.198
CP-APR-EWMA (rank=20)	0.212	0.203
CP-APR-EWMA (rank=30)	0.217	0.207
NMTF-SMA (rank=10)	0.282	0.350
NMTF-SMA (rank=20)	0.286	0.351
NMTF-SMA (rank=30)	0.286	0.350
NMTF-EWMA (rank=10)	0.219	0.198
NMTF-EWMA (rank=20)	0.220	0.217
NMTF-EWMA (rank=30)	0.219	0.217

CP, CANDECOMP/PARAFAC; CP-APR, CP Alternating Poisson Regression; EWMA, Exponentially Weighted Moving Average; NMTF, Non-negative Multiple Tensor Factorisation; RMSE, root-mean-square error; SMA, simple moving average.