Lokalna ocena mocy dyskryminacyjnej zmiennych
Local evaluation of a discrimination power of the variables

Summary/Abstract: The drawback of the kNN method is its sensitivities on irrelevant variables. K. Kira and L.A. Rendell and I. Kononenko have proposed a filter which evaluates variable importance using local information. A practical problem of the use of their algorithm is the choice of parameters (the number of iterations, the number of nearest neighbors and the threshold). In this paper we empirically verify the algorithm using real data and artificially generated variables without discrimination power.

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