Table 3. Assessed classification accuracy of different methods.

Indicator	Support Vector Machines	Random Forests	eXtreme Gradient Boosting
AUC	0.71	0.78	0.79
Precision     medallists	0.72	0.70	0.71
non-medallists	0.67	0.71	0.73
Recall     medallists	0.63	0.72	0.74
non-medallists	0.75	0.69	0.69
f1     medallists	0.67	0.71	0.72
non-medallists	0.71	0.70	0.71

Baseline values are in all cases 0.50.