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CPS2174 Septian R. et al.
            4.  Conclusion
                It can be concluded that the logistic model averaging using randomized
            approach for cunstructing the model candidate seems to be good alternative
            in prediction case of high dimensional data of tumor class of patients. Based
            on  the  100  replication  of  modeling  process,  the  method  has  good
            performance when the number of predictor variables in model candidate (m)
            is 50. It is indicated from the mean, standard deviation, and also number of
            replication which has very good prediction based on accuracy, sensitivity, and
            specificity value.

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            3.   Ghosh D, Yuan Z. 2009. An Improved Model Averaging Scheme for
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