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Table 5 Se, Sp, PPV, NPV, AUC of traditional machine learning algorithms

From: Analysis of anterior segment in primary angle closure suspect with deep learning models

 

Se (95%CI)

Sp (95%CI)

PPV (95%CI)

NPV (95%CI)

AUC (95%CI)

CART

0.76 (0.68,0.84)

0.93 (0.87,0.99)

0.85 (0.74,0.95)

0.92 (0.90,0.95)

0.90 (0.85,0.92)

RF

0.84(0.80,0.89)

0.92 (0.86,0.97)

0.82 (0.70,0.93)

0.95 (0.93,0.96)

0.91 (0.86,0.96)

LR

0.68(0.61,0.76)

0.91 (0.84,0.97)

0.79 (0.66,0.92)

0.90 (0.88,0.92)

0.86 (0.79,0.93)

  1. Se: sensitivity; Sp: Specificity; PPV: positive predict value; NPV: negative predict value; AUC: area under the curve; CART: classification and regression tree; RF: Random forest; LR: logistic regression
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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