# Prodigy NER model evaluation and custom evaluation scripts

**URL:** <https://support.prodi.gy/t/prodigy-ner-model-evaluation-and-custom-evaluation-scripts/653>\
**Category:** Uncategorized\
**Tags:** ner, spacy\
**Created:** [June 27, 2018, 2:19pm UTC](https://support.prodi.gy/t/prodigy-ner-model-evaluation-and-custom-evaluation-scripts/653 "2018-06-27T14:19:36Z")\
**Posts on this page:** 1\
**Showing post:** 3

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**Author:** ![ines](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ines/32/3_2.png) [@ines](https://support.prodi.gy/u/ines)\
**Post date:** [June 27, 2018, 10:53pm UTC](https://support.prodi.gy/t/prodigy-ner-model-evaluation-and-custom-evaluation-scripts/653/3 "2018-06-27T22:53:41Z")

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This example of a custom recipe might also be relevant:

> [@Evaluating Precision and Recall of NER](https://support.prodi.gy/t/evaluating-precision-and-recall-of-ner/193/4):
>
> In case others like me come looking for a basic scoring recipe, here is what I cooked up. It doesn’t consider threshold, but it evaluates model accuracy without re-training and can output either PRF or the standard prodigy score scheme. import spacy import spacy.scorer from prodigy.components.db import connect from prodigy.core import recipe, recipe\_args from prodigy.models.ner import EntityRecognizer, merge\_spans from prodigy.util import log from prodigy.components.preprocess import split\_sen…

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