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Calculated Shard: 169 (from laksa085)

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curl -X POST \
  'http://laksa169.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://catboost.ai/docs/en/concepts/python-reference_catboost_get_evals_result\')), getAhrefsUnparsedNoserviceFromURL(\'https://catboost.ai/docs/en/concepts/python-reference_catboost_get_evals_result\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/catboost.ai\/docs\/en\/concepts\/python-reference_catboost_get_evals_result","crawl_time":1775596513,"first_indexed_time":1731948041,"http_code":200,"src_unparsed":"ai,catboost!\/docs\/en\/concepts\/python-reference_catboost_get_evals_result s443","src_root_hash":"17435841955170310369","history_drop_reason":null,"meta_title":"get_evals_result | CatBoost","meta_descriptions":["Return the values of metrics calculated during the training. Note."],"attrs_boilerpipe_text":"Return the values of metrics calculated during the training.\nNote\nOnly 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:\nPFound\nYetiRank\nNDCG\nYetiRankPairwise\nAUC\nNormalizedGini\nFilteredDCG\nDCG\nUse the\nhints=skip_train~false\nparameter to enable the calculation. See the\nEnable, disable and configure metrics calculation\nsection for more details.\nMethod call format\nget_evals_result()\nType of return value\ndict\nOutput format:\n{pool_name: {metric_name_1-1: [value_1, value_2, .., value_N]}, .., {metric_name_1-M: [value_1, value_2, .., value_N]}}\nFor example:\n{'learn': {'Logloss': [0.6720840012056274, 0.6476800666988386, 0.6284055381249782], 'AUC': [1.0, 1.0, 1.0], 'CrossEntropy': [0.6720840012056274, 0.6476800666988386, 0.6284055381249782]}}\nPrevious\nNext","attrs_markdown":"[![Logo icon](https:\/\/yastatic.net\/s3\/locdoc\/daas-static\/catboost\/71b237a322eec6f2889af0dae2a9c549.svg)](https:\/\/catboost.ai\/ \"CatBoost\")\n\n- Installation\n  - [Overview](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/installation)\n  - Python package installation\n  - CatBoost for Apache Spark installation\n  - R package installation\n  - Command-line version binary\n  - Build from source\n- Key Features\n- Training parameters\n- Python package\n  - [Quick start](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-quickstart)\n  - CatBoost\n    - [Overview](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost)\n    - [fit](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_fit)\n    - [predict](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_predict)\n    - [Attributes](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_attributes)\n    - [calc\\_leaf\\_indexes](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_calc_leaf_indexes)\n    - [calc\\_feature\\_statistics](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_calc_feature_statistics)\n    - [compare](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_modelcompare)\n    - [copy](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_copy)\n    - [eval\\_metrics](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_eval-metrics)\n    - [get\\_all\\_params](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_all_params)\n    - [get\\_best\\_iteration](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_best_iteration)\n    - [get\\_best\\_score](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_best_score)\n    - [get\\_borders](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_borders)\n    - [get\\_evals\\_result](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_evals_result)\n    - get\\_feature\\_importance\n    - [get\\_metadata](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_metadata)\n    - [get\\_object\\_importance](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_object_importance)\n    - [get\\_param](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_param)\n    - [get\\_params](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_params)\n    - [get\\_scale\\_and\\_bias](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_scale_and_bias)\n    - [get\\_test\\_eval](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_test_eval)\n    - [grid\\_search](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_grid_search)\n    - [is\\_fitted](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_is_fitted)\n    - [load\\_model](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_load_model)\n    - [plot\\_predictions](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_plot_predictions)\n    - [plot\\_tree](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_plot_tree)\n    - [randomized\\_search](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_randomized_search)\n    - [save\\_model](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_save_model)\n    - [save\\_borders](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_save_borders)\n    - [select\\_features](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_select_features)\n    - [set\\_scale\\_and\\_bias](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_set_scale_and_bias)\n    - [set\\_feature\\_names](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_set_feature_names)\n    - [set\\_params](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_set_params)\n    - [shrink](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_shrink)\n    - [staged\\_predict](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_staged_predict)\n    - [virtual\\_ensembles\\_predict](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_virtual_ensembles_predict)\n  - CatBoostClassifier\n  - CatBoostRanker\n  - CatBoostRegressor\n  - [cv](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_cv)\n  - datasets\n  - FeaturesData\n  - MetricVisualizer\n  - Pool\n  - [sample\\_gaussian\\_process](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_sample_gaussian_process)\n  - [sum\\_models](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_sum_models)\n  - [to\\_classifier](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_to_classifier)\n  - [to\\_regressor](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_to_regressor)\n  - [train](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_train)\n  - Text processing\n  - utils\n  - [Usage examples](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-usages-examples)\n- CatBoost for Apache Spark\n- R package\n- Command-line version\n- Applying models\n- Objectives and metrics\n- Model analysis\n- Data format description\n- [Parameter tuning](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/parameter-tuning)\n- [Speeding up the training](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/speed-up-training)\n- Data visualization\n- Algorithm details\n- [FAQ](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/faq)\n- Educational materials\n- [Development and contributions](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/development-and-contributions)\n- [Contacts](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/contacts)\n\nget\\_evals\\_result\n\n## In this article:\n- [Method call format](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_evals_result#call-format)\n- [Type of return value](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_evals_result#output-format)\n\n1. Python package\n2. [CatBoost](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost)\n3. get\\_evals\\_result\n\n# get\\_evals\\_result\n- [Method call format](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_evals_result#call-format)\n- [Type of return value](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_evals_result#output-format)\n\nReturn the values of metrics calculated during the training.\n\nNote\n\nOnly 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:\n\n- PFound\n- YetiRank\n- NDCG\n- YetiRankPairwise\n- AUC\n- NormalizedGini\n- FilteredDCG\n- DCG\n\nUse the `hints=skip_train~false` parameter to enable the calculation. See the [Enable, disable and configure metrics calculation](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/loss-functions#enable-disable-configure-metrics) section for more details.\n## Method call format\n```\nget_evals_result()\n```\n## Type of return value\ndict\n\nOutput format:\n```\n{pool_name: {metric_name_1-1: [value_1, value_2, .., value_N]}, .., {metric_name_1-M: [value_1, value_2, .., value_N]}}\n```\nFor example:\n```\n{'learn': {'Logloss': [0.6720840012056274, 0.6476800666988386, 0.6284055381249782], 'AUC': [1.0, 1.0, 1.0], 'CrossEntropy': [0.6720840012056274, 0.6476800666988386, 0.6284055381249782]}}\n```\n\n### Was the article helpful?\nYes\n\nNo\n\nPrevious\n\n[get\\_borders](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_borders)\n\nNext\n\n[Overview](https:\/\/catboost.ai\/docs\/en\/concepts\/en\/concepts\/python-reference_catboost_get_feature_importance)\n\n![](https:\/\/mc.yandex.ru\/watch\/60763294)","attrs_readable_markdown":"Return the values of metrics calculated during the training.\n\nNote\n\nOnly 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:\n\n- PFound\n- YetiRank\n- NDCG\n- YetiRankPairwise\n- AUC\n- NormalizedGini\n- FilteredDCG\n- DCG\n\nUse 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#enable-disable-configure-metrics) section for more details.\n## Method call format\n```\nget_evals_result()\n```\n## Type of return value\ndict\n\nOutput format:\n```\n{pool_name: {metric_name_1-1: [value_1, value_2, .., value_N]}, .., {metric_name_1-M: [value_1, value_2, .., value_N]}}\n```\nFor example:\n```\n{'learn': {'Logloss': [0.6720840012056274, 0.6476800666988386, 0.6284055381249782], 'AUC': [1.0, 1.0, 1.0], 'CrossEntropy': [0.6720840012056274, 0.6476800666988386, 0.6284055381249782]}}\n```\n\nPrevious\n\nNext","meta_canonical":null}

3. Robots.txt Check

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5. Seen Status Check

ℹ️ Skipped - page is already crawled

📄

INDEXABLE

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CRAWLED

1 day ago

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Filter	Status	Condition	Details
HTTP status	PASS	`download_http_code = 200`	HTTP 200
Age cutoff	PASS	`download_stamp > now() - 6 MONTH`	0 months ago
History drop	PASS	`isNull(history_drop_reason)`	No drop reason
Spam/ban	PASS	`fh_dont_index != 1 AND ml_spam_score = 0`	ml_spam_score=0
Canonical	PASS	`meta_canonical IS NULL OR = '' OR = src_unparsed`	Not set

Page Details

Property	Value
URL	https://catboost.ai/docs/en/concepts/python-reference_catboost_get_evals_result
Last Crawled	2026-04-07 21:15:13 (1 day ago)
First Indexed	2024-11-18 16:40:41 (1 year ago)
HTTP Status Code	200
Meta Title	get_evals_result \| CatBoost
Meta Description	Return the values of metrics calculated during the training. Note.
Meta Canonical	null
Boilerpipe Text	Return the values of metrics calculated during the training. Note 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 section for more details. Method call format get_evals_result() Type of return value 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]}} Previous Next
Markdown	[![Logo icon](https://yastatic.net/s3/locdoc/daas-static/catboost/71b237a322eec6f2889af0dae2a9c549.svg)](https://catboost.ai/ "CatBoost") - Installation - [Overview](https://catboost.ai/docs/en/concepts/en/concepts/installation) - Python package installation - CatBoost for Apache Spark installation - R package installation - Command-line version binary - Build from source - Key Features - Training parameters - Python package - [Quick start](https://catboost.ai/docs/en/concepts/en/concepts/python-quickstart) - CatBoost - [Overview](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost) - [fit](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_fit) - [predict](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_predict) - [Attributes](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_attributes) - [calc\_leaf\_indexes](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_calc_leaf_indexes) - [calc\_feature\_statistics](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_calc_feature_statistics) - [compare](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_modelcompare) - [copy](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_copy) - [eval\_metrics](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_eval-metrics) - [get\_all\_params](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_all_params) - [get\_best\_iteration](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_best_iteration) - [get\_best\_score](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_best_score) - [get\_borders](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_borders) - [get\_evals\_result](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_evals_result) - get\_feature\_importance - [get\_metadata](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_metadata) - [get\_object\_importance](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_object_importance) - [get\_param](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_param) - [get\_params](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_params) - [get\_scale\_and\_bias](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_scale_and_bias) - [get\_test\_eval](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_test_eval) - [grid\_search](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_grid_search) - [is\_fitted](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_is_fitted) - [load\_model](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_load_model) - [plot\_predictions](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_plot_predictions) - [plot\_tree](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_plot_tree) - [randomized\_search](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_randomized_search) - [save\_model](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_save_model) - [save\_borders](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_save_borders) - [select\_features](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_select_features) - [set\_scale\_and\_bias](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_set_scale_and_bias) - [set\_feature\_names](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_set_feature_names) - [set\_params](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_set_params) - [shrink](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_shrink) - [staged\_predict](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_staged_predict) - [virtual\_ensembles\_predict](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_virtual_ensembles_predict) - CatBoostClassifier - CatBoostRanker - CatBoostRegressor - [cv](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_cv) - datasets - FeaturesData - MetricVisualizer - Pool - [sample\_gaussian\_process](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_sample_gaussian_process) - [sum\_models](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_sum_models) - [to\_classifier](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_to_classifier) - [to\_regressor](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_to_regressor) - [train](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_train) - Text processing - utils - [Usage examples](https://catboost.ai/docs/en/concepts/en/concepts/python-usages-examples) - CatBoost for Apache Spark - R package - Command-line version - Applying models - Objectives and metrics - Model analysis - Data format description - [Parameter tuning](https://catboost.ai/docs/en/concepts/en/concepts/parameter-tuning) - [Speeding up the training](https://catboost.ai/docs/en/concepts/en/concepts/speed-up-training) - Data visualization - Algorithm details - [FAQ](https://catboost.ai/docs/en/concepts/en/concepts/faq) - Educational materials - [Development and contributions](https://catboost.ai/docs/en/concepts/en/concepts/development-and-contributions) - [Contacts](https://catboost.ai/docs/en/concepts/en/concepts/contacts) get\_evals\_result ## In this article: - [Method call format](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_evals_result#call-format) - [Type of return value](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_evals_result#output-format) 1. Python package 2. [CatBoost](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost) 3. get\_evals\_result # get\_evals\_result - [Method call format](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_evals_result#call-format) - [Type of return value](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_evals_result#output-format) Return the values of metrics calculated during the training. Note 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/en/concepts/loss-functions#enable-disable-configure-metrics) section for more details. ## Method call format ``` get_evals_result() ``` ## Type of return value 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]}} ``` ### Was the article helpful? Yes No Previous [get\_borders](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_borders) Next [Overview](https://catboost.ai/docs/en/concepts/en/concepts/python-reference_catboost_get_feature_importance) ![](https://mc.yandex.ru/watch/60763294)
Readable Markdown	Return the values of metrics calculated during the training. Note 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#enable-disable-configure-metrics) section for more details. ## Method call format ``` get_evals_result() ``` ## Type of return value 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]}} ``` Previous Next
Shard	169 (laksa)
Root Hash	17435841955170310369
Unparsed URL	ai,catboost!/docs/en/concepts/python-reference_catboost_get_evals_result s443