I need to combine two feature selection algorithms and one classification algorithm. The data should first be filtered according to Gain Ratio feature evaluator. Then the features should be filtered according to CFS Subset evaluator in Weka. I want to combine Gain RATIO + CFS.I want the algorithm as a hybrid feature selection algorithm. Then the Bayesian Network learning algorithm should be executed on it.
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I have great professional expertise in programming, coding and writing algorithms. I give great importance to a bug free one through in functional and performance aspects. [url removed, login to view]