Skip to main content

Table 4 AUC values of nine methods on testing data

From: An evidential reasoning based model for diagnosis of lymph node metastasis in gastric cancer

Model Sensitivity Specificity AUC1 P value
(AUC compared with Radiologist)
ER based model 0.8951 0.8 0.829 ± 0.037 P < 0.001
ANN 0.8453 0.6429 0.791 ± 0.041 P < 0.001
SVM Linear 0.8723 0.6765 0.78 ± 0.046 P < 0.001
SVM Gaussion 0.7657 0.6036 0.688 ± 0.059 P < 0.001
SVM Ploynomial2 0.8611 0.6774 0.781 ± 0.048 P < 0.001
SVM Ploynomial3 0.8662 0.6667 0.782 ± 0.048 P < 0.001
SVM Ploynomial4 0.8633 0.6111 0.769 ± 0.049 P < 0.001
Logistic Regression 0.8552 0.6667 0.793 ± 0.039 P < 0.001
Radiologist2 0.634 0.765 0.757 ± 0.042  
  1. 1The value of data was AUC + standard deviation.
  2. 2Taking 7.7 mm as the best cut-off point of maximum lymph node size, and if lymph node size larger than 7.7 mm, it is considered that LNM occurs; otherwise, it does not occur.