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Table 2 Interpolation errors for neighborhood attributes

From: Detecting social media users based on pedestrian networks and neighborhood attributes: an observational study

Neighborhood attribute

RMSE

RMSE

RMSE

RMSE

RMSE

 

p=1

p=2

p=3

p=4

p=5

Age-PC1

978×10−3

738×10−3*

0.770

798×10−3

812×10−3

Age-PC2

0.610

555×10−3*

581×10−3

609×10−3

631×10−3

ICT-PC1

1.34

986×10−3*

992×10−3

1.02

1.04

ICT-PC2

227×10−3

195×10−3*

208×10−3

219×10−3

225×10−3

Education-PC1

1.04

768×10−3*

794×10−3

818×10−3

0.830

Education-PC2

609×10−3

475×10−3*

483×10−3

0.500

516×10−3

Dwelling-PC1

1.04

949×10−3*

981×10−3

1.04

1.09

Dwelling-PC2

903×10−3

872×10−3*

0.980

1.03

1.07

Population density-PC1

1.04

949×10−3*

981×10−3

1.04

1.09

Population density-PC2

562×10−3

414×10−3*

431×10−3

447×10−3

455×10−3

  1. Note: “*” denotes the lowest RMSE value found