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Тестова база даних і методика порівняльної оцінки класифікаторів
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UDC: 381.3
Publication Language: Russian
Stuc. intelekt. 2008; 13(3):501-504
Abstract: The problem of proper comparative classifier rating was researched. Authenticity was taken as efficiency criteria for binary-output classifiers and accuracy – for fuzzy classifiers. Several specific classification signs were highlighted, which resulted in definition of 8 typical tasks. For each of these tasks function value could be calculated both for random and determined input data. Experiment set system for classifiers was proposed.
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