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Table 2 The performances in training data and testing data

From: Exploring potential methylation markers for ovarian cancer from cervical scraping samples

Dataset

Normal

Benign

Malignant

Overall

Precision

Training

0.92

0.93

1.0

+0.95

Testing

0.96

0.73

0.75

+0.81

Recall

Training

1.0

0.93

0.71

+0.88

Testing

1.0

0.89

0.43

+0.77

F1-score

Training

0.96

0.93

0.83

*0.93

Testing

0.98

0.80

0.55

*0.86

Accuracy

Training

0.93

Testing

0.88

  1. +Macro-precision and macro-recall, which was the mean of precision and recall
  2. *The overall F1-score was calculated using sklearn weighted F1-score