Create a regression model with Azure Machine Learning designer Microsoft Quiz Answers

Get Create a regression model with Azure Machine Learning designer Microsoft Quiz Answers

Regression is a supervised machine learning technique used to predict numeric values. Learn how to create regression models using Azure Machine Learning designer.

Learn how to train and publish a regression model with Azure Machine Learning designer.

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Knowledge check

Q1. In Azure Machine Learning studio, what can you use to author regression machine learning pipelines using a drag-and-drop interface?

  • Notebooks
  • Automated machine learning
  • Designer

Q2. You are creating a training pipeline for a regression model. You use a dataset that has multiple numeric columns in which the values are on different scales. You want to transform the numeric columns so that the values are all on a similar scale. You also want the transformation to scale relative to the minimum and maximum values in each column. Which module should you add to the pipeline?

  • Select Columns in a Dataset
  • Clean Missing Data
  • Normalize Data

Q3. Why do you split data into training and validation sets?

  • Data is split into two sets in order to create two models, one model with the training set and a different model with the validation set.
  • Splitting data into two sets enables you to compare the labels that the model predicts with the actual known labels in the original dataset.
  • Only split data when you use the Azure Machine Learning Designer, not in other machine learning scenarios.
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