Fix Classification Model Evaluation

[KazuOnuki]

In this classification model doc, it explains that custom vision services are basically conducting k-fold cross validation internally.

However, I have just asked the development department about the how to train customo-vision model, and they have given me feedback that they have changed from the k-fold-cross-validation method to a simple training-validation method around 2020, and that they are splitting the training : verification = 4 : 1 ratio. Therefore, would it be possible to add this information to the report?

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Document Details

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• ID: 8198ccf7-c499-c84b-6d54-e48a8fc4a150
• Version Independent ID: aae607bf-72be-59dd-32bc-be33039de820
• Content: Quickstart: Build an image classifier model with the Custom Vision portal - Azure Cognitive Services
• Content Source: articles/cognitive-services/Custom-Vision-Service/getting-started-build-a-classifier.md
• Service: cognitive-services
• Sub-service: custom-vision
• GitHub Login: @PatrickFarley
• Microsoft Alias: pafarley

[ram-msft]

@KazuOnuki Thanks for the question. We are investigating the issue and will update you shortly.

[ram-msft]

Thanks, @PatrickFarley Could you please review and update the document for cross validation.

[PatrickFarley]

I've updated the docs

please-close