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Table 2 Error statistics for the models for different crime types [DV-related assaults, Burglaries, and Motor-Vehicle-Theft (MVT)] for the period 2009–2013

From: Applying machine learning to criminology: semi-parametric spatial-demographic Bayesian regression

  RMSE log crime rate RMSE crime count % within CI Correlation Pred/Obs
  Train Test Train Test Train Test Train Test
DV 0.314 0.318 92.1 88.4 94 98 0.86 0.85
Burglaries 0.301 0.350 191.5 208.0 90 90 0.84 0.72
MVT 0.345 0.372 191.7 191.3 89 88 0.78 0.66
  1. Root-mean-squared-error (RMSE) over log crime rate, crime counts, percentage of locations within the 95% Credible Interval (CI) and correlation between predicted and observed values