void showNFoldTypeSpecificAccuracy(InstanceList instanceList, int n) {
InstanceList.CrossValidationIterator cvIt = instanceList.crossValidationIterator(n);
double accuracies[] = new double[n];
double accuracy = 0;
int run = 0;
while (cvIt.hasNext()) {
InstanceList[] nextSplit = cvIt.nextSplit();
InstanceList trainingInstances = nextSplit[0];
InstanceList testingInstances = nextSplit[1];
double[] result = getTypeSpecificAccuracy(trainingInstances, testingInstances, true);
accuracies[run++] = result[2];
accuracy += result[2];
}
System.out.println(n + "-Fold cross-validation:");
System.out.println("Accuracy: " + accuracy / n);
}
private void showNFoldAccuracy(InstanceList instanceList, int n, int count) {
InstanceList.CrossValidationIterator cvIt = instanceList.crossValidationIterator(n);
double accuracies[] = new double[n];
double accuracy = 0;
int run = 0;
double totalTP = 0;
while (cvIt.hasNext()) {
InstanceList[] nextSplit = cvIt.nextSplit();
InstanceList trainingInstances = nextSplit[0];
InstanceList testingInstances = nextSplit[1];
trainer = new MyClassifierTrainer(new RankMaxEntTrainer());
Classifier classifier = trainer.train(trainingInstances);
accuracies[run] = getAccuracy(classifier, testingInstances);
accuracy += accuracies[run];
totalTP += accuracies[run] * testingInstances.size();
run++;
}
System.out.println(n + "-Fold accuracy(avg): " + accuracy / n);
System.out.println("Total tp:" + totalTP);
System.out.println("Total count:" + count);
System.out.println(n + "-Fold accuracy: " + totalTP / count);
}
