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Table 3 A table comparing the evaluation results for all building cases

From: PreCount: a predictive model for correcting real-time occupancy count data

Correction methods

Building cases

 

UNIVERSITY

MALL

LIBRARY

OFFICE

Raw count

1.60

0.15

0.22

0.31

Naive

1.53

0.12

0.17

0.12

PreCount_RFR

0.62

0.05

0.14

0.10

PreCount_ADR

0.85

0.09

0.15

0.11

Sampling rate (Minutes)

1

15

60

1

Error reduction(%)

60%

58%

36%

68%