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This is known as nearest centroid classifier or Rocchio algorithm.

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largest data values (“the important few”) subset B comprising values where the profit equals to the effort required to obtain it, and the subset C comprising of non-profitable values, i.e., the smallest data sets (“the trivial many”).

Performs angle-based outlier detection on a given dataframe.

Supplies tools for tabulating and analyzing the results of predictive models.

The methods employed are applicable to virtually any predictive model and make comparisons between different methodologies straightforward.