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

2018-07-18T03:57:43Z (GMT) by Asaad Mahdi Ahmad Razali Ali AlWakil

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