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Table 2 The score of different models in predicting control subjects or AD patients

From: GenEpi: gene-based epistasis discovery using machine learning

 PrecisionRecallF1 ScoreAccuracy
Training0.96330.85370.90520.9396
2-fold CV0.77480.69920.73500.8297
LOO CV0.81000.65850.72650.8324
  1. F1 Score = 2 × (Precision × Recall) / (Precision + Recall); ‘Training’ stands for the process of a single-loop CV; ‘2-fold CV’ means that 2-fold CV was used in the external loop of double CV; ‘LOO CV’ means that LOO CV was used in the external loop of double CV