Exam DP-100 topic 3 question 167 discussion

Actual exam question from Microsoft's DP-100

Question #: 167
Topic #: 3

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You create multiple machine learning models by using automated machine learning.

You need to configure a primary metric for each use case.

Which metrics should you configure? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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Suggested Answer:

by rameshln at Oct. 20, 2023, 3:05 p.m.

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sl_mslconsulting

6 months, 3 weeks ago

this link should provide you the info how to answer this question correctly: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-configure-auto-train?view=azureml-api-2&tabs=python#primary-metric

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rameshln

1 year, 2 months ago

correct: Bug Resolution (Regression Task): Metric: R2 Score Explanation: R2 Score is a suitable metric for regression tasks like bug resolution, as it measures how well the model predicts the variance in the dependent variable. Higher R2 values indicate better model performance in predicting bug resolution times. Sentiment Analysis (Classification Task): Metric: Accuracy Explanation: Accuracy is commonly used for classification tasks like sentiment analysis. It measures the proportion of correctly classified instances. In sentiment analysis, the goal is typically to classify text into positive, negative, or neutral sentiment. Accuracy is a suitable metric for this purpose.

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