EPJ Data Science

Table 2 A relative number of cases when prediction accuracy of four different prediction algorithms surpasses the predictability limit calculated for the three types of synthetic sequences

From: Explaining human mobility predictions through a pattern matching algorithm

	Random [%]	Markovian [%]	Non-stationary [%]
GRU	8.00	12.00	9.00
RF	7.00	31.00	11.00
MC	16.00	8.00	14.00
Toploc	8.00	2.00	15.00

GRU is the deep neural network algorithm, RF is an ensemble decision trees method, MC is the Markov chains-based prediction algorithm, and Toploc is a baseline predictor. Bold values indicate the highest result for each sequence type.

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