Visualizing the end results
When visualizing the end results, we have several options to consider in separate parts of the machine learning solution creation. We will take a deeper look into visualization techniques and different chart types in Chapter 9. However, here are some general steps to consider:
- Load data: Load your machine learning results data into Qlik Sense either using data sources or direct connection to Qlik AutoML or third-party machine learning platforms. This data can include predicted values, actual values, model evaluation metrics, and other relevant information.
- Create visualizations: Use Qlik Sense’s built-in visualization tools to create visual representations of your machine learning results. You can choose from various chart types depending on the type of data and the insights you want to convey. Planning a clean and visually appealing user interface is an important step.
- Customize visualizations: Customize the appearance and properties...