Intrinsic Performance Measure
(Redirected from Intrinsic Metric)
Jump to navigation
Jump to search
An Intrinsic Performance Measure is a predictive performance measure that is applied to a predictive benchmark tasks.
- AKA: Offline Performance.
- Context:
- It can correlate with an Extrinsic Performance Measure (which reports on real-world performance).
- ...
- Example(s):
- a Intrinsic Classification Performance Measure, such as: accuracy, recall, F1, perplexity.
- an Intrinsic NLG Measure, such as: ROUGE.
- …
- Counter-Example(s):
- See: Empirical Analysis.
References
2009
- (Jurafsky & Martin, 2009) ⇒ Daniel Jurafsky, and James H. Martin. (2009). “Speech and Language Processing, 2nd edition." Pearson Education. ISBN:0131873210
- … Thus, we wold like a metric that can be used to quickly evaluate potential improvements in a language model. An intrinsic evaluation metric is one that measures the quality of a model independent of any application. Perplexity is the most common intrinsic evaluation metric for N-gram language models.