<aside> 💡 PATH: 360° Customer View → Predictive Models

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About

The Predictive Models page displays all records about Predictive Models you’ve trained and/or deployed for use. Below is a description of the table fields (ML Models characteristics) and main functions.

Table columns

• Model: Name of the ML predictive model created during training setup.

• Training: This column shows the status of the ML model training.

  How to Add and Train ML Model

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After setting the training parameters, you can close the window and continue working in Bind Genius. The status will update when training completes or if there’s an error.

Training statuses:

• in progress - training has been initiated;

• done - ML model successfully trained and ready for use;

• failed - training was unsuccessful. </aside>

• Deployment: This column shows if the ML model deployed and scheduled.

  How to make ML predictions with Google BQ

  How to make ML predictions using CSV

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Deployment statuses:

• No – deployment is either not planned or was a one-time action (e.g., CSV or BigQuery without a scheduled update).
• Done – deployment has been scheduled and implemented in BigQuery with regular updates. </aside>

Functions

1. Navigation buttons on the left allow quick access to different product sections.
2. Use this button to add a new ML model, train and deploy it (make predictions). For instructions, refer to the next article:
3. If you created one-time predictions using a CSV file, the download button (arrow down) will be active, allowing you to retrieve your predictions.
4. You can also delete the ML model if it’s no longer needed.