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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%