Van der Walt, Christiaan MBarnard, E2008-01-242008-01-242007-11Van Der Walt, C and Barnard, E. 2007. Measures for the characterisation of pattern-recognition data sets. 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), Pietermaritzburg, Kwazulu-Natal, South Africa, 28-30 November 2007, pp 6978-1-86840-656-2http://hdl.handle.net/10204/19792007: PRASAThe authors study the relationship between the properties of data and classifier performance. Data measures are employed to characterise classification problems and it is shown that these data measures successfully capture important characteristics of the relationship between data and classifiers. The proposed data measures can be used to predict the classification performance of real-world data sets and to gain insight into the structures and properties of real-world dataenPattern recognitionData setsClassifier performanceConference PresentationVan der Walt, C. M., & Barnard, E. (2007). Measures for the characterisation of pattern-recognition data sets. 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA). http://hdl.handle.net/10204/1979Van der Walt, Christiaan M, and E Barnard. "Measures for the characterisation of pattern-recognition data sets." (2007): http://hdl.handle.net/10204/1979Van der Walt CM, Barnard E, Measures for the characterisation of pattern-recognition data sets; 18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA); 2007. http://hdl.handle.net/10204/1979 .TY - Conference Presentation AU - Van der Walt, Christiaan M AU - Barnard, E AB - The authors study the relationship between the properties of data and classifier performance. Data measures are employed to characterise classification problems and it is shown that these data measures successfully capture important characteristics of the relationship between data and classifiers. The proposed data measures can be used to predict the classification performance of real-world data sets and to gain insight into the structures and properties of real-world data DA - 2007-11 DB - ResearchSpace DP - CSIR KW - Pattern recognition KW - Data sets KW - Classifier performance LK - https://researchspace.csir.co.za PY - 2007 SM - 978-1-86840-656-2 T1 - Measures for the characterisation of pattern-recognition data sets TI - Measures for the characterisation of pattern-recognition data sets UR - http://hdl.handle.net/10204/1979 ER -