tiberius data mining Predictive Modelling Software 'attractively simple'   
  Tiberius Data Mining

Selecting the Variables

Selecting the Variables

Select what is to be predicted as the 'output' and the variables to be used to make the prediction as the 'inputs'.


1 . datafiles, tables, queries or worksheetsdatafiles, tables, queries or worksheets

Select the required view of the data. For the demonstration data supplied, select the table called 'FXrates'.


2 . InputsInputs

Use the buttons to select the variables that are to be used as the 'inputs' or 'predictors'.


3 . OutputOutput

Select the variable to be modelled as the 'output'.


4 . MarkersMarkers

Text and numeric data can be selected as 'markers' which will be displayed as point lables on some plots. This can help readily identify particular points.


5 . Lagged InputsLagged Inputs

If the data is a time series, then lagged delays and running averages can automatically be generated.


6 . OK buttonOK button

Once everything is selected, press the OK button to proceed.