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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.
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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