UNIX User Data Data Set
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Stefan Aeberhard and Danny Coomans and De Vel. THE PERFORMANCE OF STATISTICAL PATTERN RECOGNITION METHODS IN HIGH DIMENSIONAL SETTINGS. James Cook University.
RDA, and only so in the case of identical class covariance matrices with many training objects. RDA has otherwise outperformed all other methods except for some of the exponential data. A method 14 Data Set QDA LDA RDA 1NN FDP FF FR FV UNIX Commands 11.5% 21.3% 70.5% 62.3% (1) 57.4% 9.4% 14.7% 50.8% Wine Data 99.4% 98.9% 100% 91.0% (7) 88.2% 99.4% 93.8% 74.1% Tert. Institutions 37.5% 31.2% 84.4% 75.0%
