(eval.getTrainingData() != null &&
m_advancedConfigPanel.getHoldoutSetSize() > 0)
? eval.getTrainingData().numInstances()
: 0;
String predString = eval.printPredictionsForTestData("=== Predictions " +
"for test data: " + targetName + " ("
+ step + (step > 1 ? "-steps ahead)" : "-step ahead)") + " ===",
targetName, step, instanceNumOffset);
outBuff.append("\n").append(predString);
}