Fig 1.
Lactic acid curves recorded during performance tests for all observations.
Fig 2.
Empirical distribution of selected features of the dataset.
Fig 3.
Descriptive statistics of AeT and AnT.
Table 1.
AeT and AnT threshold prediction results using different ML algorithms.
Fig 4.
Feature importance analysis for the built prediction models that achieved the highest results: (a) Random Forest model for AeT prediction, (b) LGBM model for AnT prediction.
Fig 5.
Descriptive statistics of the width of training zones resulting from the AeT and AnT.