ResultAnalyzer resultAnalyzer = new ResultAnalyzer(classifier.getLabels(), params.get("defaultCat"));
for (String[] entry : ClassifierData.DATA) {
List<String> document = new NGrams(entry[1], Integer.parseInt(params.get("gramSize")))
.generateNGramsWithoutLabel();
assertEquals(3, classifier.classifyDocument(document.toArray(new String[document.size()]),
params.get("defaultCat"), 100).length);
ClassifierResult result = classifier.classifyDocument(document.toArray(new String[document.size()]), params
.get("defaultCat"));
assertEquals(entry[0], result.getLabel());
resultAnalyzer.addInstance(entry[0], result);