For a given data set, the package provides a novel method of computing precise limits to acquire subsets which are easily interpreted.
Closely related to the Lorenz curve, the ABC curve visualizes the data by graphically representing the cumulative distribution function.
In Ecclesiastes (Kohelet) 1:9 it is written: Traditional Judaism understands that the first 6,000 years is known as the present age/world (Olam Hazeh).
These first 6,000 years are divided into three 2,000-year periods of time or ages.
Based on an ABC analysis the algorithm calculates, with the help of the ABC curve , the optimal limits by exploiting the mathematical properties pertaining to distribution of analyzed items.
The 1,000-year Messianic Age (Athid Lavo) is the last 1,000 years of the 7,000-year redemptive plan of the God of Israel.
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.