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Three Common Supervised Learning Methods
Question: A study guide names three models that are trained using labeled examples. Which models are named?
Sample answer: It names linear regression, logistic regression, and neural networks.
Key points:
- Linear regression is one of the listed labeled-data methods.
- Logistic regression is one of the listed labeled-data methods.
- Neural networks are one of the listed labeled-data methods.
Rubric: The response must identify linear regression, logistic regression, and neural networks.
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Related
Which option is not a supervised learning algorithm?
Logistic regression is a supervised learning algorithm.
Introductory examples of supervised learning often include linear regression, logistic regression, and _____.
Match each supervised learning method with its typical prediction output.
Order the steps for selecting a supervised learning baseline for a new prediction task.
Which group lists the supervised learning methods named in the lesson?
In supervised learning, linear regression is an unsupervised algorithm.
_____ regression estimates the probability of a class label.
Match each supervised learning method to the feature that best identifies it.
Order the models from least expressive to most expressive.
Examples of Supervised Learning Methods
Choosing Methods from a Project Brief
Three Common Supervised Learning Methods