> ## Documentation Index
> Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Training Validations

<Badge icon="arrow-left" color="gray">[Back to NLP Topics](/ai-for-service/automation/natural-language/nlp-topics)</Badge>

The platform continuously validates your NLP training and surfaces recommendations to proactively fix issues before they affect production accuracy.

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## Validation Types

Go to **Natural Language > Training > Intents** to see recommendations per intent.

| Validation                                                 | Severity | Description                                            |
| ---------------------------------------------------------- | -------- | ------------------------------------------------------ |
| **Untrained Intents**                                      | Warning  | Intent has no utterances.                              |
| **Inadequate Training Utterances**                         | Warning  | Intent has too few utterances.                         |
| **Utterance Does Not Qualify Any Intent** (false negative) | Warning  | Utterance can't predict any intent, including its own. |
| **Utterance Predicts Wrong Intent** (false positive)       | Warning  | Utterance predicts a different intent than trained.    |
| **Utterance Predicts Intent with Low Confidence**          | Warning  | Low confidence score for the utterance.                |
| **Incorrect Patterns**                                     | Error    | Pattern has invalid syntax.                            |
| **Wrong Entity Annotations**                               | Error    | Entity annotated with an incompatible value type.      |
| **Short Utterance**                                        | Warning  | Utterance has ≤ 2 words.                               |

**Severity:**

* **Error** — definite problem impacting accuracy. High severity; must fix.
* **Warning** — issue that can be resolved; moderate severity.

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## View Recommendations

1. Go to **Natural Language > Training > Intents** tab.
2. Hover over the **Error** or **Warning** icon on an intent to see the recommendation.
3. Click the intent to see the **Bulb** icon summary for all issues.

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## Validate Model

Click **Validate Model** (top-right on the Training page) to open the Recommendations Summary.

### Recommendations Summary

Shows all current issues with suggested actions.

* **All** tab — all recommendations.
* **Error** tab — error-type recommendations only.
* **Warning** tab — warning-type recommendations only.

### Filter Recommendations

1. Hover over a recommendation and click **Filter**.
2. The Training panel shows only intents with that issue type.
3. Click **+Utterance**, **+Pattern**, or **+Rule** to fix directly from the panel.
4. As issues are resolved, counts update automatically.
5. Click **CLEAR FILTER** to reset.

<Note>
  Only one filter can be active at a time. The filter applies to intent-level, utterance, rule, and pattern recommendations.
</Note>

### Refresh Recommendations

Click the **Refresh** icon to update recommendations after:

* Modifying training data.
* Adding new intents or utterances.
* Fixing a recommendation to verify it's resolved.

**If untrained utterances exist:**

* **Train & Regenerate** — trains the model with untrained utterances, then regenerates recommendations.
* **Regenerate** — generates recommendations from the current (already trained) model without retraining.

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## Validation Options

From the **Validate Model** dropdown:

* **Confusion Matrix** — visualize utterance-to-task match performance. See [Model Validation](/ai-for-service/automation/natural-language/training/model-validation#confusion-matrix).
* **K-fold Cross-Validation** — estimate ML model generalization performance. See [Model Validation](/ai-for-service/automation/natural-language/training/model-validation#k-fold-cross-validation).