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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
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BMC Bioinformatics

ISSN: 1471-2105

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