9. Create Feature List

You'll generate a new feature list by prioritizing features with higher predictive scores, then seek additional signals not captured in the initial list.

Step 1: Create a New Feature List¶

Navigate to the Feature catalog from the Experiment section of the menu.

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Sort the Features by their predictive scores.

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Add the top 10 features to the Feature List Builder by clicking on the + icon for each feature.

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Click on 'Review Feature List' in the Feature List Builder to further explore and refine the selection.

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This should take you to a window with the list details.

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Click on any feature to review its details.

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Save Feature List as "Top10 Most Predictive for Activity Next Week" by clicking on 'Save List' at the upper right of the window.

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Our new feature list is now part of the Feature List Catalog.

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Step 2: Enhance Feature List¶

Click on the feature list we just created to review its details.

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Go to the 'Themes' tab to assess any missing themes in the list. 5 themes are missing.

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Close window and click on the + icon to jumpstart a new feature list to enhance this list.

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The Feature List Builder now incorporates the top 10 features.

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Let's review its suggestions by clicking on themes in the 'Suggestions' section located at the bottom of the Feature List Builder.

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Click on 'Show Features' for the Customer/InvoiceItems/Diversity theme to explore features associated with this theme.

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Add "CUSTOMER_Entropy_of_items_TotalCosts_by_product_ProductGroup_4w" to the Feature List Builder.

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Click on 'Review Feature List'.

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Save Feature List as "Top10 enhanced with customer basket diversity".

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The enhanced Feature List is now accessible through the Feature List Catalog.

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