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 |