An example of Visualisation using the GUI

In this section we have provided an easy step-by-step Usage Example of Visualisation with LIBTwinSVM. For more information on the application and its features, go to this link.

Step 1: Data Import

To visualize a model, the first step is to import the data. In the following section, you have shown how to import data and how to use some of the application features.

1. By default, the application starts on the Data tab.

2. By clicking on the Open button in the Import box, the File Explorer will be open and you can then choose the file you want to train.

3. You can choose the file content separator if it is other than comma.
4. In Read box in Data tab, you can choose how you want the data to be processed by the application. You may want to Normalize or Shuffle the data.
5. Then you must click on Load Button, and the data will be imported and also displayed in the feature box.

Step 2: Visualisation

So far, the data is already imported and you are going to see how Visualize tab works.

1. You switch the tabs to Visualize tab.

2. Now you have several options to choose or modify such as Classifier, Kernel type, Hyper Parameters and DPI which it determines the output plot quality.
3. In the Options box in Visualize tab, there is a check-box for saving the figure. By checking that check-box, you need to select a path, so the application can save the final figure.

4. In the final step by Clicking on the Plot button, the plot will be displayed in the figure box.