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Table 5 Spearman’s correlation of the evaluated metrics and accuracy of predictions calculated on the three types of synthetic sequences

From: Explaining human mobility predictions through a pattern matching algorithm

 

Random [%]

Markovian [%]

Non-stationary [%]

ESR

88.21

95.76

86.67

SR

90.14

74.80

82.34

DR

79.50

88.76

73.13

Regularity

64.88

33.01

62.30

Stationarity

87.99

−20.78

82.66

NStationarity

87.99

−20.78

82.66

GA

90.60

85.51

85.95

IGA

88.04

84.97

83.56

\(\Pi _{\max}\)

60.56

93.29

77.04

  1. ESR is an equally sparse repeatability, SR is a sparse repeatability, DR is a dense repeatability, GA is a global alignment measure, and IGA is an iterative global alignment measure. All the correlations are significant at the level of p <0.001 (significance of correlation between stationarity and accuracy of markovian sequences is p<0.03). Bold values indicate the best result for each sequence type.