This is the page dedicated to help users of data mining web application, in case of selection of statistical calculation service. This resource gives the possibility to perform standard statistics (i.e. standard deviation, RMS, NMAD, MAD, outliers at different sigmas etc.), useful either as post-processing from any regression experiments or as autonomous statistical evaluation between two data vectors.

Given a data table, the user can select two columns to perform statistical calculations, based on abs(col1 - col2) and the normalized terms abs[(col1 - col2) / (1 + col1)].

This page is also directly reachable from the web application, in case users select the help button. The following contents are mainly dedicated to assist the user during the parameter selection and setup, by giving details about each parameter, its role, default value and suggestions about the right choice. There is one sub-section, related with the use case that users can select to perform experiments, namely Test use case.

- Input dataset
- first column
- second column

**this parameter is a required field!**

Input dataset file. It must be a data table format.

Selection of the index of the first column of data table used for statistical calculations. If left empty, by default it will be considered the first column in the input data table.

Selection of the index of the second column of data table used for statistical calculations. If left empty, by default it will be considered the second column in the input data table.

(See the user manual for more details)