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Table 3 Mean cross-validation and training data metrics

From: Categorising cheetah behaviour using tri-axial accelerometer data loggers: a comparison of model resolution and data logger performance

Model Device Training Cross-validation
Accuracy RMSE MSE r2 Accuracy RMSE MSE r2
Fine-scale CEFAS 0.825 0.424 0.179 0.987 0.825 (0.005) 0.431 (0.004) 0.186 (0.003) 0.986 (< 0.001)
  GCDC 0.846 0.416 0.173 0.987 0.843 (0.003) 0.424 (0.001) 0.180 (0.001) 0.987 (< 0.001)
Medium-scale CEFAS 0.838 0.398 0.158 0.982 0.837 (0.003) 0.404 (0.003) 0.163 (0.003) 0.981 (< 0.001)
  GCDC 0.852 0.394 0.155 0.982 0.849 (0.004) 0.401 (0.001) 0.161 (0.001) 0.981 (< 0.001)
Coarse-scale CEFAS 0.877 0.327 0.107 0.885 0.876 (0.003) 0.329 (0.003) 0.109 (0.002) 0.883 (0.002)
  GCDC 0.894 0.312 0.097 0.894 0.890 (0.002) 0.319 (0.001) 0.102 (0.001) 0.889 (0.002)
  1. Figures in brackets indicate standard deviation (n folds = 5)