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Conclusions
nFor random behavior pattern, none of the evaluated methods is able to produce good results.
nFor stable behaviors, all algorithms produce very good results. More than 94% of the predictions have an absolute error less than 0.2.
nFor the trend, jumping, or two-phase behavior patterns, the BDES method outperforms the other three. Among its predictions, 93% to 99% have less than 0.2 absolute error. The corresponding percentages of the other methods are 10% to 40% lower depending the behavior patterns.