Predicting agricultural yields based on weather conditions and soil quality measurements is an example of which type of machine learning model?

Question

Options

• Aclassification
• Bregression
• Cclustering

• A
  10% (4)
• B
  85% (33)
• C
  5% (2)

Explanation

Regression is a supervised machine learning technique used to predict numeric values. Note: Regression is a form of machine learning used to understand the relationships between variables to predict a desired outcome. Regression predicts a numeric label or outcome based on variables, or features. For example, an automobile sales company might use the characteristics of a car (such as engine size, number of seats, mileage, and so on) to predict its likely selling price. In this case, the characteristics of the car are the features, and the selling price is the label. Regression is an example of a supervised machine learning technique in which you train a model using data that includes both the features and known values for the label, so that the model learns to fit the feature combinations to the label. Then, after training has been completed, you can use the trained model to predict labels for new items for which the label is unknown. https://learn.microsoft.com/en-us/training/modules/create-regression-model-azure-machine- learning-designer/2-regression-scenarios

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