Mitigating Bias and Error in Machine Learning to Protect Sports Data

Table 1

Comparison of performance.

ML method	Recall	Precision	f1-score	Accuracy	auc
Proposed nn	92.85	92.80	92.80	92.86	0.9678
mlp	89.80	89.90	89.90	89.91	0.9317
svm	92.90	93.00	92.95	92.99	0.9898
xgboost	93.10	93.15	93.15	93.23	0.9916