Table 4 Results of the fairness analysis depicting performance results for different demographic sub- groups

From: Leveraging machine learning for digital gait analysis in ataxia using sensor-free motion capture

 

tsfresh+XGBoost RMSE

Age-range/N

19–39/35

0.744

40–59/59

0.714

60–82/34

0.694

Sex/N

male/59

0.634

female/60

0.751

  1. Root mean squared error (RMSE) of the best-performing regression model, namely tsfresh+XGBoost, for the age and sex groups characterized as given in the left column.
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