Model Statistics

Model menu > Show Statistics

In the Model Statistics window, the following variables

  • RMSE
    The Root Mean Square Error (RMSE) is a measure of the deviations of predictions of a model from the actual values of the modeled object.
  • R2
    The coefficient of determination R2 is a measure of the statistics for the proportion of variability (variance) of a dependent variable Y, described by a statistical model.
  • nRMSE
    The normalized RMSE: nRMSE = RMSE/(xmax - xmin) for the value range observed.

are shown for each model (= each output) for the following data:

  • Training Data (shown in Model > Error (Training Data) > Measured vs. Predicted)
  • Test Data (shown in Model > Error (Test Data) > Measured vs. Predicted)
  • Leave-One-Out (shown in Model > Error (Leave-One-Out) > Measured vs. Predicted)
  • The relevant quotient from Training and Leave-One-Out

ClosedFile

  • Save as Excel Sheet

    Opens the Save As window. Here you can save the model statistics as *.xls, *.xlsx or *.csv file.

  • Copy to Clipboard

    Copies the table to the clipboard.

Note  

The values displayed in the Model Statistics window are additionally displayed in the Log window.