# Analyzing intent error report from rasa test nlu (Ambiguity in NLU Training Data)

**URL:** <https://forum.rasa.com/t/analyzing-intent-error-report-from-rasa-test-nlu-ambiguity-in-nlu-training-data/53625>\
**Category:** Rasa Open Source\
**Tags:** testing\
**Created:** [June 7, 2022, 11:28am UTC](https://forum.rasa.com/t/analyzing-intent-error-report-from-rasa-test-nlu-ambiguity-in-nlu-training-data/53625 "2022-06-07T11:28:47Z")\
**Posts on this page:** 1\
**Showing post:** 1

<div class="post-metadata">

**Author:** ![NIlimaN](https://avatars.discourse-cdn.com/v4/letter/n/ee59a6/32.png) [@NIlimaN](https://forum.rasa.com/u/NIlimaN)\
**Post date:** [June 7, 2022, 11:28am UTC](https://forum.rasa.com/t/analyzing-intent-error-report-from-rasa-test-nlu-ambiguity-in-nlu-training-data/53625/1 "2022-06-07T11:28:47Z")

</div>

Hi, I am creating an intent classification model in Rasa. And as I test the model with “rasa test nlu”, it gives me “intent report.json” in result. After analyzing the report I find ambiguities in my NLU training data and I resolve all of those in my NLU file. I retrain my nlu and repeat the process again. And each time, the result shows new ambiguities in my NLU data.

Is iterating over this process a good idea to better my training data?

---

_[View the full topic](https://forum.rasa.com/t/analyzing-intent-error-report-from-rasa-test-nlu-ambiguity-in-nlu-training-data/53625)._