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
Reference:
Van 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 6
Van 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/10204/1979
Van der Walt, Christiaan M, and E Barnard. "Measures for the characterisation of pattern-recognition data sets." (2007): http://hdl.handle.net/10204/1979
Van 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 .
