Settings and Features

Testing Set Tab
 
The Testing Set Tab gives access to the following settings and features:

Samples
Allows you to select a subset of samples for testing.

Independent Variables
This box is informative only and shows the number of independent variables or attributes in the testing set.

Reset Button
Reverts to the total number of testing samples in your data.

Refresh Button
Refreshes the panel after changing the testing data set.

Change Data Set Button
Allows you to choose another testing set for evaluating the generalizing capabilities of your models. The new testing set must obviously have the same structure of the training set, that is, the same number of independent variables.

Remove Data Set Button
Allows you to remove the testing set (you can always add it later by selecting Add Testing Data on the Data Menu).

Table
Shows all the variables in the testing set. The entire table can be copied to the clipboard by choosing Copy on the Edit Menu. You can also copy selected columns to the clipboard with the mouse right-click.

Distribution
Allows you to visualize the distribution of values for each variable in the testing set. This plot shows a maximum of 20 points at a time and, therefore, for datasets with more than 20 samples you must move the scroll bar on the right of the table and GeneXproTools will redraw the plot starting at the first visible row. Then, by placing the cursor over the plot, GeneXproTools shows you the range used to draw the plot. GeneXproTools allows you to copy or print this plot through the mouse right-click.

Line
Plots each independent variable together with the dependent variable or function output. This plot shows a maximum of 20 points at a time and, therefore, for datasets with more than 20 samples you must move the scroll bar on the right of the table and GeneXproTools will redraw the plot starting at the first visible row. Then, by placing the cursor over the plot, GeneXproTools shows you the range used to draw the plot. GeneXproTools allows you to copy or print this plot through the mouse right-click.

Home | Contents | Previous  | Next