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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

  Precision Recall F1 Score Accuracy
Training 0.9633 0.8537 0.9052 0.9396
2-fold CV 0.7748 0.6992 0.7350 0.8297
LOO CV 0.8100 0.6585 0.7265 0.8324
  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