Performance Measure - Examples

Task	Corresponding Performance Measure
classification	measure the accuracy/error-rate of the model: accuracy - the proportion of examples for which the model produces the correct class label) error-rate - the proportion of examples for which the model produces an incorrect class label
probability distribution estimation	use a performance metric that gives the model a continuous-valued score for each example (e.g. average log-probability the model assigns to some examples)
transcription	either: accuracy of transcribing entire sequences fine-grained measure that gives partial credit for getting some elements of sequence correct
	more performance measures

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