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Various machine learning algorithms are used for classification of microarray data. The accuracy of classifier is generally compromised by the missing value in the data set, due to incorrect collection of data values. Those missing data in the microarray data set may contain some relevance information. These missing values can lead to the incorrect analysis of data. Lots of research is carried out...