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(i) Combine CFS Subset evaluator and Bayesian network learning in weka.
(ii) It should appear as a single algorithm like the Random multitree
(iii) the features selected by CFS subset alone should be subsequently used for bayesina netwrok learning
(iv) Each feature selected by the CFS should be added one by one and the Bayesian network algorithm should be run and the MCC and accuracy alone needs to be calculated.
Please use weka 3.7.7jj
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