Table 7. Prediction performance for the Chubu dataset.

	RMSE
Node i	MA(16)	ES(0.03)	NN+BU	NN+MinT	NN+SR(0.4, 0.6)
Root	4.11	4.09	3.99 ± 0.04	4.00 ± 0.04	3.97 ± 0.03
2	1.77	1.75	1.72 ± 0.03	1.71 ± 0.03	1.72 ± 0.03
3	1.38	1.37	1.37 ± 0.03	1.35 ± 0.02	1.36 ± 0.03
4	2.19	2.17	2.18 ± 0.03	2.15 ± 0.03	2.18 ± 0.03
Mid-level	1.78	1.76	1.76 ± 0.01	1.74 ± 0.02	1.75 ± 0.01
5	0.80	0.79	0.81 ± 0.03	0.78 ± 0.02	0.81 ± 0.03
6	0.67	0.65	0.65 ± 0.03	0.64 ± 0.02	0.66 ± 0.03
7	0.76	0.76	0.74 ± 0.03	0.74 ± 0.02	0.74 ± 0.03
8	0.82	0.81	0.77 ± 0.02	0.77 ± 0.03	0.76 ± 0.02
9	0.71	0.70	0.68 ± 0.02	0.69 ± 0.02	0.67 ± 0.02
10	0.95	0.97	0.99 ± 0.02	0.97 ± 0.02	0.98 ± 0.02
11	0.81	0.80	0.88 ± 0.04	0.86 ± 0.03	0.89 ± 0.04
12	0.99	0.98	0.98 ± 0.03	0.96 ± 0.02	0.97 ± 0.03
13	0.73	0.73	0.75 ± 0.02	0.75 ± 0.02	0.77 ± 0.02
Bottom-level	0.80	0.80	0.81 ± 0.00	0.80 ± 0.01	0.81 ± 0.00
Average	1.28	1.27	1.27 ± 0.00	1.26 ± 0.01	1.27 ± 0.00