Classification grid search tool


Ing. Zoltán Galáž, Ing. Jiří Mekyska, prof. Ing. Zdeněk Smékal, CSc.

Date of creation: 11. 1. 2017


It is possible to download software here.


In the field of biomedical signal processing (e.g. pathological speech signal processing), often it is necessary to use binary classification. For this purpose, the researchers nowadays use multiple sophisticated classification techniques. Classification grid search tool (CGST) provides an easy and fast way to optimize selected classification model.

Software SGCT provides the 6 possible classification techniques: Support Vector Machines (SVM), Naive Bayes Networks (NBN), Linear Discriminant Analysis (LDA), k-Nearest Neighbour (kNN), Classification Trees (RF) and Gaussian Mixture Models (GMM). It also provides 18 metrics evaluating quality of classification process: Classification Accuracy (ACC), sensitivity (SEN), specificity (SPE), Matthew’s Correlation Coefficient (MCC), etc.

The package also provides the function for errorgraph-based visualization of the optimization process. The CGST software is written in the MATLAB programming environment. The testing scripts can be used to test a functionality of the software.


This work was supported by projects AZV 16-30805A and LO1401. The described research was performed in laboratories supported by the SIX project; the registration number CZ.1.05/2.1.00/03.0072, the operational program Research and Development for Innovation.


To negotiate the license terms of use of this software please contact the responsible person Ing. Lukas Novak at Technology Transfer Office, Brno University of Technology, Kounicova 966/67a, Veveří, 60200, Brno, Czech Republic,