Classification of Microarray Data Using Kernel Fuzzy Inference System
Table 3
Performance parameters.
Performance parameters
Description
It is the degree to which the repeated measurements under unchanged conditions show the same results
It indicates that the number of the relevant items are to be identified
-measure
It combines the “precision” and “recall” numeric values to give a single score, which is defined as the harmonic mean of the precision and recall
It focuses on how effectively a classifier identifies negative labels
It measures the percentage of inputs in the test set that the classifier correctly labeled
Receive operating characteristic (ROC) curve
ROC curve is a graphical plot which illustrates that the performance of a binary classifier system as its discrimination threshold is varied. It investigates and employs the relationship between “true positive rate (sensitivity)” and “false positive rate ()” of a classifier