Abstract
Scoring schemes for measuring expert system performance are reviewed. Rule-based classification systems and their error rates on sample data are considered. We present several models of measurement that are categorized by four characteristics: mutual exclusivity of classes, unique answers provided by the system, known correct conclusions for each case, and use of confidence factors to weight the system's conclusions. An underlying model of performance measurement is critical in determining which scoring strategy is appropriate for a system and whether a comparison of different medical expert systems can be made.
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 callDisclaimer: 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.
