Figure 1. The comparison of the Area Under the ROC Curve (AUC) for fuzzy Diagnosis, KNN and NB-Comparison of Fuzzy Diagnosis with K-Nearest Neighbor and Naïve Bayes Classifiers in Disease Diagnosis

<p>The area under the receiver operating characteristic (ROC) curve (AUC) is used to measure<br> the performance of fuzzy diagnosis, KNN and NB. In order to show the difference between AUC<br> for the three methods, a single figure which combines the three AUC for the three methods was<br> used for comparison as shown in figure 1 below.</p>