Normalization is a set of algorithms intended to transform data before feeding it to some classes of algorithms, for example, classifiers [James2013]. Normalization may improve computation accuracy and efficiency. Different rules can be used to normalize data. In oneDAL, two techniques to normalize data are implemented: z-score and min-max.