Output Data Generated for OCI Document Understanding Models

When you analyze documents using an OCI Document Understanding model, the Oracle Analytics data flow generates data about the documents and saves the results in a separate dataset.

To locate the generated dataset, from the Oracle Analytics home page, navigate to Data, then Datasets, and open the dataset. For example, here's an output dataset generated using a document classification model. Here, "Document Type" is the predicted document type, and "Confidence" is the confidence level of the prediction.
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Document Classification

Output Column	Type	Description
Document Type	String	Identified document type. For example, receipt.
Confidence	Number	Confidence score of the prediction, on the scale of 0 - 1. For example, a score of 0.94 gives 94% confidence.
Page No	Number	Page number of the result.
Media Type	String	Media or file type of the document.
Status Summary	String	Brief summary of the model's output. This column is blank on successful output, or for unsuccesful output it indicates the issue (for example, unsupported file type).
Document URL	String	The object storage URL of the document from the bucket specified. This column is only populated when the Input Type option is set to bucket in the data flow step configuration.

Key value extraction

To review output columns for key value extraction models, from the Oracle Analytics home page, navigate to Machine Learning, then Models.
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Hover over a model, click Actions.

Click Inspect, then click Details to review the output columns that are generated for that type of model.

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Click Resources to review and update the staging bucket compartment and the staging bucket.