---
metadata:
  - name: generator
    content: Diplodoc Platform v5.54.5
alternate:
  - https://catboost.ai/docs/en/concepts/python-reference_catboostregressor_get_evals_result.md
  - href: en/concepts/python-reference_catboostregressor_get_evals_result.md
    type: text/markdown
    title: Markdown version
  - href: ../llms.txt
    type: text/markdown
    title: llms.txt
---
> **Documentation Index:** Fetch the complete configuration index at https://catboost.ai/docs/en/llms.txt

# get_evals_result

<!-- source: en/_includes/work_src/reusage/python__get-evals-result__full-desc__div.md -->
Return the values of metrics calculated during the training.

{% note info %}

Only the values of calculated metrics are output. The following metrics are not calculated by default for the training dataset and therefore these metrics are not output:

- PFound
- YetiRank
- NDCG
- YetiRankPairwise
- AUC
- NormalizedGini
- FilteredDCG
- DCG

Use the `hints=skip_train~false` parameter to enable the calculation. See the [Enable, disable and configure metrics calculation](https://catboost.ai/docs/en/concepts/loss-functions.md#enable-disable-configure-metrics) section for more details.

{% endnote %}
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## Method call format {#call-format}

```no-highlight
get_evals_result()
```

## Type of return value {#output-format}

<!-- source: en/_includes/work_src/reusage/get_evals_result__type-of-return-value__div.md -->
dict

Output format:
```
{pool_name: {metric_name_1-1: [value_1, value_2, .., value_N]}, .., {metric_name_1-M: [value_1, value_2, .., value_N]}}
```

For example:
```
{'learn': {'Logloss': [0.6720840012056274, 0.6476800666988386, 0.6284055381249782], 'AUC': [1.0, 1.0, 1.0], 'CrossEntropy': [0.6720840012056274, 0.6476800666988386, 0.6284055381249782]}}
```
<!-- endsource: en/_includes/work_src/reusage/get_evals_result__type-of-return-value__div.md -->