Exam DP-100 topic 3 question 175 discussion

Actual exam question from Microsoft's DP-100

Question #: 175
Topic #: 3

You have an Azure Machine Learning workspace.

You plan to use the workspace to set up automated machine learning training for an image classification model.

You need to choose the primary metric to optimize the model training.

Which primary metric should you choose?

A. r2_score
B. mean_absolute_error
C. accuracy
D. root_mean_squared_log_error

Show Suggested Answer

Suggested Answer: C 🗳️

by indomanish at Feb. 29, 2024, 1:11 a.m.

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SYSCOMComputerEngineeringCo

9 months, 1 week ago

C https://learn.microsoft.com/en-us/azure/machine-learning/how-to-auto-train-image-models?view=azureml-api-2&tabs=cli#primary-metric

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indomanish

1 year, 4 months ago

correct answer ! Chatgpt -When setting up automated machine learning training for an image classification model in your Azure Machine Learning workspace, the primary metric you should choose for optimizing model training is accuracy for binary and multi-class classification models and IoU (Intersection over Union) for multilabel classification models1. These metrics are essential for evaluating the performance of your trained models and ensuring their effectiveness in classifying images accurately.

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