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Table 2 Sensitivity (recall) and specificity and accuracy according to difficult laryngoscopy prediction model

From: Development and validation of a difficult laryngoscopy prediction model using machine learning of neck circumference and thyromental height

  Threshold Sensitivity (95CI) Specificity (95CI) Presision (95CI) Accuracy (95CI)
BRF 0.54 0.90 (0.88–0.92) 0.58 (0.55–0.61) 0.23 (0.21–0.25) 60% (57–63)
XGB 0.23 0.54 (0.51–0.57) 0.78 (0.76–0.80) 0.25 (0.23–0.27) 69% (66–72)
LGBM 0.36 0.22 (0.20–0.24 0.91 (0.89–0.93) 0.28 (0.26–0.30) 83% (81–85)
MLP 0.37 0.49 (0.46–0.52) 0.60 (0.57–0.63) 0.19 (0.17–0.21) 61% (58–64)
LR 0.36 0.66 (0.63–0.69) 0.56 (0.53–0.59) 0.17 (0.15–0.19) 57% (54–60)
  1. 95CI 95% confidence interval, BRF balanced random forest, XGB extreme gradient boosting, LGBM light gradient boosting machines, MLP multilayer perceptron, LR logistic regression