Authors
RC Prati, GEAPA Batista, MC Monard
Publication date
2008/6
Journal
Revista IEEE América Latina
Volume
6
Issue
2
Pages
215-222
Description
ROC charts have recently been introduced as a powerful tool for evaluation of learning systems. Although ROC charts are conceptually simple, there are some common misconceptions and pitfalls when used in practice. This work surveys ROC analysis, highlighting the advantages of its use in machine learning and data mining, and tries to clarify several erroneous interpretations related to its use.
Total citations
20082009201020112012201320142015201620172018201920202021202220232024125571294910141815151375
Scholar articles
RC Prati, G Batista, MC Monard - Revista IEEE América Latina, 2008
RC Prati, GEAPA Batista, MC Monard - IEEE Latin America Transactions, 2008