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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)