The Grid Search SVM is a Java-based application that allows to perform the grid search of an SVM classifier. According to the section 3.2 of (Hsu, Chang and Lin: A Practical Guide to Support Vector Classication) [1], the grid search consists in identifying the best (C, γ) values that allow to classify accurately the unknown data ( new instances as the test data).
In the same work they suggest a practical method to perform the grid search that consists in the exponentially growing of C and γ. They also gives the range the values for those parameters. For example C = [2-5, …, 215] and γ = [2-15, …, 23] (see also here).
The software here presented uses the LIBSVM to implement an SVM classifier and Weka classes as interface to classifiers and dataset. This software as it is said before, will take a particular classifier and will try to train and test on different values of C and γ. All the performances obtained will be stored inside a text file given as output file.
