Abstract
ABSTRACTIn real-world situations, problems pertaining to classification are commonly observed. To handle such problems, prominent statistical classification tools are being used. This article focuses on one such classification tool, namely Receiver Operating Characteristic (ROC) curve. The entire framework of the work is to demonstrate the use and importance of the ROC curve under multivariate setup. Real data on cicadas is considered where the objectives are to identify the type of species as well as the gender. The results disclose interesting facts about the species considered.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Communications in Statistics: Case Studies, Data Analysis and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
