The mRMR (Maximum relevance and Minimum redundancy) algorithm ranks the features that are highly correlated to the target having a low correlation between themselves. The F-statistic is used to calculate relevance to the class, and the Pearson correlation coefficient is used to calculate redundancy between features. The scheme can be expressed through equations .