In Oracle Analytics Cloud, how should a machine learning model be utilized within a project canvas?

In Oracle Analytics Cloud, utilizing a machine learning model within a project canvas is best accomplished by creating a scenario using the required model. Scenarios allow you to apply predictive analysis by leveraging the insights derived from the machine learning model. By creating a scenario, you can effectively integrate the model's predictions into your analysis, using these predictions to inform business decisions, forecast outcomes, or assess various “what-if" scenarios.

This method of incorporation provides a structured way to manage and manipulate the results generated by the model, facilitating a clearer understanding of how those predictions impact your data analysis. It takes advantage of the model's capabilities to predict trends and behaviors based on historical data, enabling deeper insights than merely displaying the model itself.

The other options describe processes that do not directly utilize a machine learning model in a way that informs analysis as effectively as creating a scenario would. Custom calculations, visualization of models, or creating data sequences serve different purposes and may not fully leverage the predictive capabilities that the model can provide when used in a scenario context.