Editing Active Learning (section)

== <span style="color: #FFFFFF;">Evaluating</span> ==
Active learning evaluation:
# '''Learning curve''': plot accuracy vs. number of labeled examples; compare to random sampling baseline at each budget.
# '''Label efficiency''': how many labels are needed to achieve X% of fully-supervised performance?
# '''Test on held-out set''': evaluation must use examples never selected by active learning to avoid selection bias.
# '''Annotation cost''': measure actual oracle time per query; some strategies select harder-to-annotate examples.
# '''Stability''': run 5 trials with different random seeds; active learning can have high variance.
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