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Table 9 An average proportion of predictability variations explained by the regression models fit to the evaluated metrics calculated for the two types of mobility sequences

From: Explaining human mobility predictions through a pattern matching algorithm

 

Next-place [%]

Next time-bin [%]

ESR

43.23

40.21

SR

42.56

4.61

DR

45.76

51.50

ESR + NStationarity

82.23

SR + NStationarity

80.03

DR + NStationarity

83.32

Regularity + Stationarity

58.91

81.40

GA

64.50

32.67

GA + NStationarity

83.13

IGA

62.70

41.26

IGA + NStationarity

80.53

  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 \(R^{2}\) values are significant at the level of p<0.001. Bold values indicate the best result for each sequence type.