Support Vector Machine Results

Machine Learning Introductory Overview

Click the OK button in the Support Vector Machines dialog box to display the Support Vector Machine Results dialog box after a trained SVM model is in place. This dialog box contains three tabs: Quick, Plots, and Custom predictions. Use the options on these tabs to review the parameter estimates, summaries, descriptive statistics, predictions, residuals (or accuracy for classification), graphs, and surfaces.

Summary Box

The Summary box at the top of the dialog box displays information about the current analysis.

Copy button

Click the Copy button to copy either the selected text (if text has been selected) in the Summary box or all of the text (if no text has been selected) to the Clipboard. Note that the copied text retains formatting information (such as font, color, etc.).

Contract/Expand button

Click the Contract/Expand button to contract or expand the Summary box. When contracted, you can see only one line of the Summary box text and can scroll through the text using a scroll bar. Note that when contracted the text is scrolled so that the first non-blank line is at the top. When expanded (the default setting), the entire Summary box will be displayed.

Summary

Click the Summary button to create a spreadsheet containing a brief summary for the current model for the dependent variable specified for the analyses.

Cancel

Click the Cancel button to close this dialog box and return to the Support Vector Machines dialog box.

Options

Click the Options button to display the Options menu.

Code generator

If your program is licensed to include this feature, you can generate computer code to implement the current model for predicting new observations. When you click this button, a menu is displayed with the following commands:

STATISTICA Visual Basic (SVB). Select this command to generate a STATISTICA Visual Basic program containing the code implementing the model. This code will be generated in a form compatible with the nodes of STATISTICA Data Miner; however, you can also simply copy/paste the relevant portion of this code to include it in your custom Visual Basic programs. The code will automatically be displayed in the STATISTICA Visual Basic program editor window.

C/C++ language

Select this command to generate code compatible with the C/C++ language. This option is useful if you want to include the information provided by the final model into custom (C/C++) programs (see also Using C/C++/C# Code for Deployment).

PMML script

This command will generate code in Predictive Model Markup Language (PMML) which is an XML-based language for storing information about fully trained (parameterized) models, and for sharing those models with other applications. STATISTICA and STATISTICA Enterprise Server contain facilities to use this information to compute predicted values or classifications, i.e., to quickly and efficiently deploy models (typically in the context of data mining projects).

Deployment to STATISTICA Enterprise

Select this command to deploy the results as an Analysis Configuration in STATISTICA Enterprise. Note that appropriately formatted data must be available in a STATISTICA Enterprise Data Configuration before the results can be deployed to an Analysis Configuration.

Sample

If you have divided the data set into training and testing samples, you can use the options in this group box to generate SVM results for the particular sample of your choice - Train, Test, or Overall - whenever applicable.