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National Repository of Grey Literature 26 records found  beginprevious26 - 26  jump to record: Search took 0.02 seconds. 
Influence of Metric on Classification Error of Distance-Based Classifiers
 Jiřina, Marcel
Five types of classifiers that use sample distances for class estimation of an unknown sample was tested. Each classifier was tested with fifteen different metrics on 24 classification tasks from the UCI Machine Learning Repository. The metrics were compared and the best of them was found for each classifier. Surprisingly, the best metrics for all five types of classifiers is the Hassanat metrics. Classifiers were also compared and ranked according to their classification ability. Wilcoxon Test and Friedman Aligned test were used for statistical evaluation.
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Plný tet: v1211-14 - Download fulltextPDF
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National Repository of Grey Literature : 26 records found   beginprevious26 - 26  jump to record:
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