dataSet.shuffle(seeds[i]);
target = LibSVM.createTargets(dataSet.getLabels());
} else {
PropertyPredictionDataSet subset = dataSet.getSubSet(maxClassSize, seeds[i]);
// shuffle the subset, since the creation of the subset might result in a too ordered dataset
subset.shuffle(seeds[i]);
matrix = kernel.compute(subset.getGraphs());
target = LibSVM.createTargets(subset.getLabels());
}
LibSVMParameters params = new LibSVMParameters(LibSVMParameters.C_SVC, cs);