Too few samples may not be adequate for a reasonable estimate and may result in an incorrect result.
there is a risk to be misleading because how many examples are required for this pregiven separate dataset is an open question in real-world applications, and it can not guarantee that the classifier shows a rise-peak-drop confidence pattern during active learning process.