@Test
public void testTrainC_ClassificationDataSet() {
System.out.println("trainC");
for (boolean conc : new boolean[] {true, false}) {
OneVSOne instance = new OneVSOne(new DCDs(), conc);
ClassificationDataSet train = FixedProblems.getSimpleKClassLinear(1000, 7);
ClassificationDataSet test = FixedProblems.getSimpleKClassLinear(100, 7);
ClassificationModelEvaluation cme = new ClassificationModelEvaluation(instance, train);
cme.evaluateTestSet(test);
assertTrue(cme.getErrorRate() <= 0.001);
}
}
@Test
public void testTrainC_ClassificationDataSet_ExecutorService() {
System.out.println("trainC");
for (boolean conc : new boolean[] {true, false}) {
OneVSOne instance = new OneVSOne(new DCDs(), conc);
ClassificationDataSet train = FixedProblems.getSimpleKClassLinear(1000, 7);
ClassificationDataSet test = FixedProblems.getSimpleKClassLinear(100, 7);
ExecutorService ex = Executors.newFixedThreadPool(SystemInfo.LogicalCores);
ClassificationModelEvaluation cme = new ClassificationModelEvaluation(instance, train, ex);
cme.evaluateTestSet(test);
assertTrue(cme.getErrorRate() <= 0.001);
}
}