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Table 4 Holdout validation and replication of models using the built environment to predict walking for exercise

From: Using built environment characteristics to predict walking for exercise

  Logistic model of walking or not Linear model of walking time
  Training set, C-statistic (95% CI) Validation set, C-statistic (95% CI) Training set, variation explained Validation set, variation explained
Models from Table 3, training set β estimates 0.58 (0.55, 0.62) 0.46 (0.41, 0.51) 4.1 % 0.0 %
   Restricted to King County 0.61 (0.57, 0.66) 0.45 (0.38, 0.52) 5.6 % 0.2 %
WBC components, training set β estimates 0.56 (0.53, 0.60 0.46 (0.41, 0.51) 1.9 % 0.3 %
   Restricted to King County 0.58 (0.53, 0.62) 0.44 (0.38, 0.51) 3.2 % 0.3 %
  Training and validation sets, C-statistic (95% CI) Training and validation sets, variation explained
WBC components, WBC β estimates 0.50 (0.48, 0.53) 0.1 %
   King County only 0.51 (0.47, 0.55) 0.1 %
  1. Notes: All models were run for the entire HVH population and restricted to King County residents; C-statistic indicates area under the receiver operating characteristic curve; CI indicates confidence interval; WBC indicates Walkable and Bikeable Communities Study