Correlation Based Feature Selection Algorithm for Machine Learning
N. Gopika, A. Meena kowshalaya M.E. · 2018
Feature selection is an effective strategy to reduce dimensionality, remove irrelevant data and increase learning accuracy. The curse of dimensionality of data poses a severe challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, we use three feature selection algorithms namely Fast Correlation Based Feature Selection (FCBF), a variation of FCBF called Fast Correlation Based Feature Selection # (FCBF#) and Fast Correlation Based Feature Selection in Pieces (FCFBiP). The three feature selections are compared and experimental results prove that the FCFBiP is efficient compared to FCBF and FCBF#.