--- title: Review model information slug: '1894' canonical_url: https://docs.coveo.com/en/1894/ collection: leverage-machine-learning source_format: adoc --- # Review model information The **Information** tab of a model allows members with the [required privileges](#required-privileges) to view data and information for a specific [Coveo Machine Learning (Coveo ML)](https://docs.coveo.com/en/188/) [model](https://docs.coveo.com/en/1012/). For example, you can view the model's associated query pipelines, or the data that's available to the model. To view model information . On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page, click the desired model, and then click **View** in the Action bar. . [Review the information](#model-information-reference) specific to the selected model. ## Model information reference This section shows the information that's available per model type. ### Model status All model types include a status section that appears at the top of the **Information** tab. If the model has limitations or errors, you can expand the section to view additional information to help you troubleshoot your model. ![model status section | Coveo](https://docs.coveo.com/en/assets/images/leverage-machine-learning/model-status-info-section.png) Additionally, if the model is archived, you can delete it directly from this section. ![Archived model status section | Coveo Machine Learning](https://docs.coveo.com/en/assets/images/leverage-machine-learning/archived-model-status-section.png) ### Relevance Generative Answering (RGA) This section details the available information for a [Relevance Generative Answering (RGA)](https://docs.coveo.com/en/nbtb6010/) [model](https://docs.coveo.com/en/1012/). #### RGA "General" section The following table lists the general information available for an RGA model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### RGA "Associated pipelines" section The section lists the [query pipelines associated with the model](https://docs.coveo.com/en/2816/). Next to each pipeline card, you can click [dots], and then select one of the following options: * **Edit association** * **Dissociate** Depending on your selection: * If you selected **Edit association**, on the **Edit a Model Association** subpage, make changes to the applied **Condition**, and then click **Save**. * If you selected **Dissociate**, click **Remove association**. #### RGA "Chunks" section The following table lists the information available for the chunks extracted by the model: [%header,cols="3*"] |=== 2+| Information | Definition 2+| Items with chunks | Among the items scoped to train the model, the percentage of items for which the model was able to extract chunks. 2+| Chunks available to the model | The total number of chunks extracted by the model. 2+| Items without chunks | Among the items scoped to train the model, the number of items for which chunks weren't extracted by the model. 2+| Proportion of items without chunks | Among the items scoped to train the model, the percentage of items that the model can access but for which it was unable to extract any chunks. .4+| Chunks per item | Average | The average number of chunks per item for which chunks were extracted. | Min | The number of chunks contained in the item that generated the least chunks. | Max | The number of chunks contained in the item that generated the most chunks. | Average words per chunk | The average number of words in a chunk. |=== #### RGA "Items included" section This section provides additional information about the items that were made available to the model. By default, the table shows statistics for all sources that were selected during the [model configuration process](https://docs.coveo.com/en/nb6a0085/) that contain at least one item. However, you can use the picker at the top of the section to target the statistics for the items contained in a specific source. The **Items included** section displays the following information: [%header,cols="2*"] |=== | Information | Definition | Selected for the model | The total number and proportion of items that the model can use. | Missing an ID | The number and proportion of items that don't use the [`permanentId`](https://docs.coveo.com/en/1913/) as their unique identifier. | Duplicates | The number and proportion of items that are duplicates of items already used by the model and that were filtered out from the model training. | Used by the model | The number and proportion of items that are used by the model out of the total items that the model can use. |=== ### Passage retrieval (CPR) This section details the available information for a [Passage Retrieval (CPR)](https://docs.coveo.com/en/oaie9196/) [model](https://docs.coveo.com/en/1012/). #### CPR "General" section The following table lists the general information available for a CPR model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### CPR "Associated pipelines" section The section lists the [query pipelines associated with the model](https://docs.coveo.com/en/2816/). Next to each pipeline card, you can click [dots], and then select one of the following options: * **Edit association** * **Dissociate** Depending on your selection: * If you selected **Edit association**, on the **Edit a Model Association** subpage, make changes to the applied **Condition**, and then click **Save**. * If you selected **Dissociate**, click **Remove association**. #### CPR "Chunks" section The following table lists the information available for the chunks extracted by the model: [%header,cols="3*"] |=== 2+| Information | Definition 2+| Items with chunks | Among the items scoped to train the model, the percentage of items for which the model was able to extract chunks. 2+| Chunks available to the model | The total number of chunks extracted by the model. 2+| Items without chunks | Among the items scoped to train the model, the number of items for which chunks weren't extracted by the model. 2+| Proportion of items without chunks | Among the items scoped to train the model, the percentage of items that the model can access but for which it was unable to extract any chunks. .4+| Chunks per item | Average | The average number of chunks per item for which chunks were extracted. | Min | The number of chunks contained in the item that generated the least chunks. | Max | The number of chunks contained in the item that generated the most chunks. | Average words per chunk | The average number of words in a chunk. |=== #### CPR "Items included" section This section provides additional information about the items that were made available to the model. By default, the table shows statistics for all sources that were selected during the [model configuration process](https://docs.coveo.com/en/oaie5476/) that contain at least one item. However, you can use the picker at the top of the section to target the statistics for the items contained in a specific source. The **Items included** section displays the following information: [%header,cols="2*"] |=== | Information | Definition | Selected for the model | The total number and proportion of items that the model can use. | Missing an ID | The number and proportion of items that don't use the [`permanentId`](https://docs.coveo.com/en/1913/) as their unique identifier. | Duplicates | The number and proportion of items that are duplicates of items already used by the model and that were filtered out from the model training. | Used by the model | The number and proportion of items that are used by the model out of the total items that the model can use. |=== ### Semantic Encoder (SE) This section details the available information for a [Semantic Encoder (SE)](https://docs.coveo.com/en/nbtb0041/) [model](https://docs.coveo.com/en/1012/). #### SE "General" section The following table lists the general information available for a SE model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### SE "Associated pipelines" section The section lists the [query pipelines associated with the model](https://docs.coveo.com/en/2816/). Next to each pipeline card, you can click [dots], and then select one of the following options: * **Edit association** * **Dissociate** Depending on your selection: * If you selected **Edit association**, on the **Edit a Model Association** subpage, make changes to the applied **Condition**, and then click **Save**. * If you selected **Dissociate**, click **Remove association**. ### Automatic Relevance Tuning (ART) This section details the available information for an [Automatic Relevance Tuning (ART)](https://docs.coveo.com/en/1013/) [model](https://docs.coveo.com/en/1012/). #### ART "General" section The following table lists the general information available for an ART model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. | Content ID keys | The field used by the model to identify index items (for example, `urihash`, [`permanentid`](https://docs.coveo.com/en/1913/), etc.) |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### ART "Model building general statistics" section The following table lists the general model building statistics available for an ART model: |=== | Statistic | Definition | Search events | The total number of search events used in the model creation. | Click events | The total number of click events used in the model creation. | Visits | The total number of visits used in the model creation. | Learned queries | The number of unique queries for which the model can recommend items. |=== #### ART "Associated pipelines" section The section lists the [query pipelines associated with the model](https://docs.coveo.com/en/2816/). Next to each pipeline card, you can click [dots], and then select one of the following options: * **Edit association** * **Dissociate** Depending on your selection: * If you selected **Edit association**, on the **Edit a Model Association** subpage, make the desired changes, and then click **Save** (see [ART advanced configuration options](https://docs.coveo.com/en/l1ca1038#art-advanced-configuration-options)). * If you selected **Dissociate**, click **Remove association**. #### ART "Languages" section This section lets you review language-specific information and statistics. Select a language from the dropdown menu to filter the information based on the chosen language. |=== | Statistic | Definition | Learned queries | The number of unique queries for which the model can recommend items per language. | Top queries | The sample of the top queries (maximum 10) for which the model could recommend items. | Known words | The number of words known by the model. | Items per filter value | The number of items that can be recommended, for each filter (for example, country, region, hub, interface, tab) known by the model, for a query. | Stop words | The number of words removed from user queries before recommending items. |=== ### Content Recommendations (CR) This section details the available information for a [Content Recommendation (CR)](https://docs.coveo.com/en/1016/) [model](https://docs.coveo.com/en/1012/). #### CR "General" section The following table lists the general information available for a CR model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. | Content ID keys | The field used by the model to identify index items (for example, `urihash`, [`permanentid`](https://docs.coveo.com/en/1913/), etc.) | Learned recommendations | The number of unique events that the model can recommend. | Possible recommendations per context key | The sample of the top queries for which the model could recommend items for each listed context key. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### CR "Model building general statistics" section The following table lists the general model building statistics available for a CR model: |=== | Statistic | Definition | Search events | The total number of search events used in the model creation. | Click events | The total number of click events used in the model creation. | View event count | The total number of view events used in the model creation. |=== #### CR "Associated pipelines" section The section lists the [query pipelines associated with the model](https://docs.coveo.com/en/2816/). Next to each pipeline card, you can click [dots], and then select one of the following options: * **Edit association** * **Dissociate** Depending on your selection: * If you selected **Edit association**, on the **Edit a Model Association** subpage, make changes to the applied **Condition**, and then click **Save**. * If you selected **Dissociate**, click **Remove association**. ### IPX Recommendations (IPXRECS) This section details the available information for an [IPX Recommendation (IPXRECS)](https://docs.coveo.com/en/p6hh0418/) [model](https://docs.coveo.com/en/1012/). #### IPXRECS "General" section The following table lists the general information available for an IPXRECS model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. ### Query Suggestions (QS) This section details the available information for a [Query Suggestion (QS)](https://docs.coveo.com/en/1015/) [model](https://docs.coveo.com/en/1012/). #### QS "General" section The following table lists the general information available for a QS model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. | Suggestions per filter | The number of queries that can be suggested for each filter (for example, country, region, hub, interface, tab) known by the model. | Context keys | The context keys that the model can use to provide personalized query suggestions. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### QS "Model building general statistics" section The following table lists the general model building statistics available for a QS model: |=== | Statistic | Definition | Search events | The total number of search events used in the model creation. | Click events | The total number of click events used in the model creation. | Learned suggestions | The number of unique queries that the model can suggest. |=== #### QS "Associated pipelines" section The section lists the [query pipelines associated with the model](https://docs.coveo.com/en/2816/). Next to each pipeline card, you can click [dots], and then select one of the following options: * **Edit association** * **Dissociate** Depending on your selection: * If you selected **Edit association**, on the **Edit a Model Association** subpage, make changes to the applied **Condition**, and then click **Save**. * If you selected **Dissociate**, click **Remove association**. #### QS "Languages" section This section lets you review language-specific information and statistics. Select a language from the dropdown menu to filter the information based on the chosen language. |=== | Statistic | Definition | Minimum query count | The minimal number of clicks on a query suggestion that's required for a candidate to remain in the model. The minimum is determined automatically depending on the language and the query count (see the reference table in [Reviewing Coveo Machine Learning Query Suggestion datasets](https://docs.coveo.com/en/2010#ReferenceTable)). | Learned suggestions | The number of unique queries that the model can suggest. | Top queries | The sample of the top queries (maximum 10) that the model could suggest. |=== ### Predictive Query Suggestions (PQS) This section details the available information for a [Predictive Query Suggestion (PQS)](https://docs.coveo.com/en/m1ol5526/) [model](https://docs.coveo.com/en/1012/). #### PQS "General" section The following table lists the general information available for a PQS model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. | Suggestions per filter | The number of queries that can be suggested for each filter (for example, country, region, hub, interface, tab) known by the model. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### PQS "Model building general statistics" section The following table lists the general model building statistics available for a PQS model: |=== | Statistic | Definition | Search events | The total number of search events used in the model creation. | Click events | The total number of click events used in the model creation. | Learned suggestions | The number of unique queries that the model can suggest. |=== #### PQS "Associated pipelines" section The section lists the [query pipelines associated with the model](https://docs.coveo.com/en/2816/). Next to each pipeline card, you can click [dots], and then select one of the following options: * **Edit association** * **Dissociate** Depending on your selection: * If you selected **Edit association**, on the **Edit a Model Association** subpage, make changes to the applied **Condition**, and then click **Save**. * If you selected **Dissociate**, click **Remove association**. #### PQS "Languages" section This section lets you review language-specific information and statistics. Select a language from the dropdown menu to filter the information based on the chosen language. |=== | Statistic | Definition | Minimum query count | The minimal number of clicks on a query suggestion that's required for a candidate to remain in the model. The minimum is determined automatically depending on the language and the query count. | Learned suggestions | The number of unique queries that the model can suggest. | Top queries | The sample of the top queries (maximum 10) that the model could suggest. |=== ### Dynamic Navigation Experience (DNE) This section details the available information for a [Dynamic Navigation Experience (DNE)](https://docs.coveo.com/en/2907/) [model](https://docs.coveo.com/en/1012/). #### DNE "General" section The following table lists the general information available for a DNE model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### DNE "Model building general statistics" section The following table lists the general model building statistics available for a DNE model: |=== | Statistic | Definition | Search events | The total number of search events used in the model creation. | Click events | The total number of click events used in the model creation. | Visits | The total number of visits used in the model creation. | Facet selection events | The total number of facet selection events used in the model creation. | Learned queries | The number of unique queries for which the model can recommend items. |=== #### DNE "Associated pipelines" section The section lists the [query pipelines associated with the model](https://docs.coveo.com/en/2816/). Next to each pipeline card, you can click [dots], and then select one of the following options: * **Edit association** * **Dissociate** Depending on your selection: * If you selected **Edit association**, on the **Edit a Model Association** subpage, make the desired changes, and then click **Save** (see [DNE advanced configuration options](https://docs.coveo.com/en/l1qf4156#dne-advanced-configuration-options)). * If you selected **Dissociate**, click **Remove association**. #### DNE "Languages" section This section lets you review language-specific information and statistics. Select a language from the dropdown menu to filter the information based on the chosen language. |=== | Information | Definition | Learned queries | The number of unique queries per language for which the model can recommend items per language. | Top facets | The sample of the top facets per language for which the model can automatically select and reorder values. | Facets per filter value | The number of items that can be recommended, for each filters (for example, country, region, hub, interface, tab) known by the model per language. |=== #### DNE "Facet Autoselect" section You can review information about the behavior of the [**Facet Autoselect**](https://docs.coveo.com/en/3396#facet-autoselect-section) feature for a specific DNE model. . On the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page, click the DNE model for which you want to review information about the **Facet Autoselect** feature, and then click **Open** in the Action bar. . On the page that opens, select the **Configuration** tab. . In the **Facet Autoselect** section, you can review the following information: ** Whether the **Facet Autoselect** feature is enabled for the model that you're inspecting. ** The **Facet** ([fields](https://docs.coveo.com/en/200/)) to which the automatic selection of facet values apply. ** The **Sources** in which the items matching the selected **Facets** are taken into account by the **Facet Autoselect** feature. ### Product Recommendations (PR) This section details the available information for a [Product Recommendation (PR)](https://docs.coveo.com/en/3132/) [model](https://docs.coveo.com/en/1012/). #### PR "General" section The following table lists the general information available for a PR model: |=== | Information | Definition | Model type | The type of model. | Model ID | The model unique identifier used to troubleshoot issues (if any). | Model name | The name of the model. | Projects | The name of the projects the model is associated with. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### PR "Model building commerce statistics" section This section shows the total number of **Purchased products** and **Product detail views** events used to build the model. ### Intent-Aware Product Ranking (IAPR) This section details the available information for an [Intent-Aware Product Ranking (IAPR)](https://docs.coveo.com/en/m61h0552/) [model](https://docs.coveo.com/en/1012/). #### IAPR "General" section The following table lists the general information available for an IAPR model: |=== | Information | Definition | Model type | The type of model. | Model ID | The model unique identifier used to troubleshoot issues (if any). | Model name | The name of the model. | Projects | The name of the projects the model is associated with. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### IAPR "Associated pipelines" section The section lists the [query pipelines associated with the model](https://docs.coveo.com/en/2816/). Next to each pipeline card, you can click [dots], and then select one of the following options: * **Edit association** * **Dissociate** Depending on your selection: * If you selected **Edit association**, on the **Edit a Model Association** subpage, make changes to the applied **Condition**, and then click **Save**. * If you selected **Dissociate**, click **Remove association**. ### Smart Snippets This section details the available information for a [Smart Snippets](https://docs.coveo.com/en/laea5490/) [model](https://docs.coveo.com/en/1012/). #### Smart Snippets "General" section The following table lists the general information available for a Smart Snippet model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### Smart Snippets "Associated pipelines" section The section lists the [query pipelines associated with the model](https://docs.coveo.com/en/2816/). Next to each pipeline card, you can click [dots], and then select one of the following options: * **Edit association** * **Dissociate** Depending on your selection: * If you selected **Edit association**, on the **Edit a Model Association** subpage, make changes to the applied **Condition**, and then click **Save**. * If you selected **Dissociate**, click **Remove association**. #### Smart Snippets "Snippets" section The following table lists the information available about the snippets extracted by the model: [%header,cols="3*"] |=== 2+| Information | Definition 2+| Items with snippets | Among the items scoped to train the model, the percentage of items for which the model was able to extract snippets. 2+| Snippets available to display | The total number of snippets extracted by the model that can be displayed in search interfaces. 2+| HTML headers in your items | Among the items scoped to train the model, the total number of headers that the model can use to identify questions. 2+| Items without snippets | Among the items scoped to train the model, the number of items for which snippets weren't extracted by the model. See the [troubleshooting tips](https://docs.coveo.com/en/1894#smart-snippets-troubleshooting-tips) section for information on how you can improve this number. 2+| Proportion of items without snippets | Among the items scoped to train the model, the percentage of items that the model can access but for which it was unable to extract any snippets. See the [troubleshooting tips](https://docs.coveo.com/en/1894#smart-snippets-troubleshooting-tips) section for information on how you can improve this number. .4+| Snippets per item | Average | The average number of snippets per item for which snippets were extracted. | Min | The number of snippets contained in the item that generated the least snippets. | Max | The number of snippets contained in the item that generated the most snippets. | Average words per snippet | The average snippet length. |=== #### Smart Snippets "Items included" section This section provides additional information about the number of items used by the model along with the reasons some of them ended up not being used by the model. ![capture of the Items included section | Coveo](https://docs.coveo.com/en/assets/images/leverage-machine-learning/ss-items-included.png) By default, the table shows statistics for all sources that were selected during the [model configuration process](https://docs.coveo.com/en/l6he0424/) and contain at least one item. However, you can use the picker at the top of the section to target the statistics for the items contained in a specific source. The **Items included** section displays the following information: [%header,cols="2*"] |=== | Information | Definition | Selected for the model | The total number and proportion of items that the model can use. | No HTML tags or JSON-LD | The number and proportion of items in which the model couldn't find JSON-LD or HTML tags. See the [troubleshooting tips](https://docs.coveo.com/en/1894#smart-snippets-troubleshooting-tips) section for information on how you can improve this number. | Missing an ID | The number and proportion of items that don't use the [`permanentId`](https://docs.coveo.com/en/1913/) as their unique identifier. | Duplicates | The number and proportion of items that are duplicates of items already used by the model and that were filtered out from the model training. | Used by the model | The number and proportion of items that are used by the model out of the total items that the model can use. |=== #### Smart Snippets troubleshooting tips This section provides tips to help you troubleshoot the content you selected to train the model and improve your model's performance. To improve the numbers listed in [**Items without snippets**](https://docs.coveo.com/en/1894#smart-snippets-snippets-section), [**Proportion of items without snippets**](https://docs.coveo.com/en/1894#smart-snippets-snippets-section), and [**Items included**](https://docs.coveo.com/en/1894#smart-snippets-items-included-section), verify the following in the items selected to train the model: If you use JSON-LD * When using JSON-LD to [format your content for the Smart Snippet model](https://docs.coveo.com/en/l9le0392#step-2-optimize-the-content), inspect the fields in which the content formatted in JSON-LD appears. Compare your content with [Google's standards](https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data) to make sure the correct format is used. You can use the [**Content Browser**](https://platform.cloud.coveo.com/admin/#/orgid/content/browser/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/content/browser/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/content/browser/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/content/browser/)) to [review the properties of an item](https://docs.coveo.com/en/1712/). * If you're using an [indexing pipeline extension (IPE) to generate JSON-LD](https://docs.coveo.com/en/m5bf8282/) in the items used to train the model, verify the extension's configuration and the output it has on the items you select to train the model. The [**Log Browser**](https://platform.cloud.coveo.com/admin/#/orgid/logs/browser/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/logs/browser/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/logs/browser/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/logs/browser/)) provides useful information about the items impacted by an IPE. > **Leading practice** > > If you have to modify the items that are scoped for model training, we recommend that you create a new model once the source is rebuilt with the new version of the items. > This ensures that the model only uses the most recent version of the items. If you use raw HTML When relying on raw HTML to [format your content for the Smart Snippet model](https://docs.coveo.com/en/l9le0392#step-2-optimize-the-content), verify the following: * If you use [CSS exclusions](https://docs.coveo.com/en/l6he0424#css-properties-to-exclude) in your model, review the list of CSS exclusions and verify if they block the use of relevant HTML content from your items. * If you specified fields to target the content to be used when [creating the model](https://docs.coveo.com/en/l6he0424/), ensure that these field aren't empty. * To ensure that the model can accurately establish relationships between questions and answers, it's important to properly format the HTML content. Questions should be formatted using HTML headers (`` tags), with answers appearing immediately below the corresponding header in the HTML code of the page. Smart Snippet models are better at parsing answers when they appear in HTML paragraphs (`

` tags). > **Leading practice** > > If you have to modify the items that are scoped for model training, we recommend that you create a new model once the source is rebuilt with the new version of the items. > This ensures that the model only uses the most recent version of the items. ### Case Classification (CC) This section details the available information for a [Case Classification (CC)](https://docs.coveo.com/en/m4596348/) [model](https://docs.coveo.com/en/1012/). #### CC "General" section The following table lists the general information available for a CC model: |=== | Information | Definition | Model type | The type of model. | Model ID | The unique identifier of the model. | Model name | The name of the model. | Projects | The name of the projects the model is associated with. | Model version | The version of the model followed by the date of the model's last update in [UNIX timestamp](https://en.wikipedia.org/wiki/Unix_time) format. | Engine version | The version number of the learning algorithm that was used to build the model. | Content ID keys | The field used by the model to identify index items (for example, `urihash`, [`permanentid`](https://docs.coveo.com/en/1913/), etc.) |=== > **Note** > > If some of the information listed in the table doesn't appear in the **General** section, it's because this information isn't available for your model. #### CC "Associated Case Assist configuration" section The section lists the [Case Assist configurations associated with the model](https://docs.coveo.com/en/3328#generate-classification-suggestions-based-on-context-recognition). #### CC "Model performance" section The **Model performance** section indicates the model's capacity to predict values for specific index fields. To achieve this, the model applies classifications on the **Test dataset**, and then compare the results with the classifications that were manually assigned by previous users and learned by the model when building on the **Training dataset**. Since the model learned from manual classifications during its training phase, it learned which classifications were right for a given case. By attempting to provide classifications on the **Test dataset**, which was ignored by the model during its training phase, the model can compare the attempted classifications to those that were manually classified by previous users on the **Training dataset**. In the **Model performance** section, this information is displayed in the **Top prediction is correct** and **Correct prediction in top 3** columns. ![screen capture of the statistics table | Coveo](https://docs.coveo.com/en/assets/images/leverage-machine-learning/cc-model-performance.png) The **Top prediction is correct** column indicates the percentage of time the model's top value prediction was the same as what the model learned from the **Training dataset**. The **Correct prediction in top 3** column indicates the percentage of time one of the model's top 3 value predictions matches the value learned from the **Training dataset**. #### CC "Dataset distribution" section During its training phase, the model splits all available cases into two datasets: the _training dataset_ and the _test dataset_. The model's _training dataset_ represents 90% of all the cases that were selected when configuring the model. The model builds on this segment to learn from the classifications that were manually applied by previous users. The model's _test dataset_ represents the other 10% of the cases that were selected when configuring the model. Unlike the _training dataset_, the model doesn't use the information contained in these cases to train itself. This dataset is rather used to evaluate the [model performance](https://docs.coveo.com/en/1894#cc-model-performance-section). The **Dataset distribution** section lists the index [fields](https://docs.coveo.com/en/200/) for which the model learned classifications. This information is displayed in the **Training dataset** and **Test dataset** columns. ![screen capture of the statistics table | Coveo](https://docs.coveo.com/en/assets/images/leverage-machine-learning/cc-data-sets-distribution.png) The **Training dataset** column indicates the number of cases containing a specific field that was used to train the model. The **Test dataset** column indicates the number of cases that contain this specific field in the model's test dataset. Each row of this table can be expanded to obtain further information about the values that the model can predict for a specific index field. When expanding a specific row, the **Sample value distribution** column lists the values that can be predicted for a specific field (for example, `product_type`), along with the number of times a specific value was used to classify available cases in both the **Training dataset** and the **Test dataset**. ![screen capture of the statistic table | Coveo](https://docs.coveo.com/en/assets/images/leverage-machine-learning/cc-sample-value-distribution.png) ## Required privileges By default, members with the [required privileges](https://docs.coveo.com/en/1832#required-privileges) can view and edit elements of the [**Models**](https://platform.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/ai-and-ml/models/)) page. The following table indicates the privileges required to use elements of the **Models** page and associated panels (see [Manage privileges](https://docs.coveo.com/en/3151/) and [Privilege reference](https://docs.coveo.com/en/1707/)). [cols="3",options="header"] |=== |Action |Service - Domain |Required access level |View models |Machine Learning - Models Organization - Organization Search - Query pipelines |View .2+|Edit models |Organization - Organization Search - Query pipelines |View |Machine Learning - Models |Edit |===