Appraisal identification of classifier's performance
Yan Gui-rong · Electronic Design Engineering · 2011
This paper analyzed the current widely used measure identification of classifier performance,accuracy and error rates.However,on unbalanced data set,semantic-related multi-class,different costs for different misclassification type and other classification application problems,there are many defects when accuracy and error rates are used to appraisal the classifier performance.In order to solve the above problems,precision,recall,mistake,omitting F-measure ratio and classification cost matrix,loss function are integrated to measure the performance of classifier based on different applications.Experiments on unbalanced data set,semantic-related multi-class,different costs for different misclassification type classification application problems show new indexes can appraisal classifier performance very well in the above problems.