Scoring similarity search algorithm

Can anyone help me figure out how to find precision, recall scores for similarity search in KNIME. In my use case I compare two different set of ontology terms. Using string similarity, but I do not know how to get a measure of the results. Is it possible with the scorer node? Or some other way? Can anyone either point me to an example where this is done, or be willing to look at what I have and offer me a suggestion?

as far as I know these measure you mention referring to the confusion matrix and are applied for classification tasks not for string similarity.

Hi Daniel,
Thank you for your response. Your response is what I was coming to realize. However, if I perform string similarity between terms in two different datasets, what would be a good way of evaluating the results received from the similarity search?

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