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Table 3 AUC values of nine methods on training data

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

Model Area Std error Asymptotic sig. Asymptotic 95% confidence interval
Lower bounder Upper bounder
ER based model 0.948 0.020 0.000 0.908 0.988
ANN 0.798 0.043 0.000 0.713 0.882
SVM linear 0.944 0.019 0.000 0.906 0.981
SVM Gaussian 0.955 0.018 0.000 0.920 0.990
SVM Ploynomial2 0.94 0.022 0.000 0.898 0.983
SVM Ploynomial3 0.938 0.022 0.000 0.894 0.982
SVM Ploynomial4 0.941 0.022 0.000 0.898 0.983
Logistic Regression 0.888 0.027 0.000 0.835 0.940