Skip to main content

Table 2 Validation performance of the model

From: Development and validation of a novel diagnostic model for initially clinical diagnosed gastrointestinal stromal tumors using an extreme gradient-boosting machine

Metric

Performance (95 CI)

Accuracy

0.73 (0.58–0.88)

Precision

0.79 (0.60–0.95)

Recall

0.87 (0.67–1.00)

f1-score

0.82 (0.70–0.92)

auROC

0.77 (0.57–0.90)

C-index

0.76 (0.56–0.89)

  1. Accuracy: number of correct predictions/total number of all predictions
  2. Precision: number of correct positive predictions/number of positive predictions
  3. Recall: number of correct positive predictions/number of all positive individuals
  4. F1-score: the harmonic mean of precision and recall
  5. auROC: area under the receiver operating characteristic curve
  6. C-index: concordance index