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Answer: AutoML automates the entire machine learning workflow, including data preprocessing, feature selection, model selection, and hyperparameter tuning.
AutoML is designed to automate the entire machine learning workflow, which includes data preprocessing, feature selection, model selection, and hyperparameter tuning. This automation helps to save time and effort, allowing data scientists to focus on more complex tasks. Option A correctly identifies the steps of the machine learning workflow that are automated by AutoML.
Author: LeetQuiz Editorial Team
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In the context of AutoML, explain the significance of the machine learning workflow and how it is automated. Provide a detailed description of the steps involved in the workflow and how AutoML facilitates each step.
A
AutoML automates the entire machine learning workflow, including data preprocessing, feature selection, model selection, and hyperparameter tuning.
B
AutoML only automates the model selection and hyperparameter tuning steps of the machine learning workflow.
C
AutoML automates the data preprocessing and feature selection steps of the machine learning workflow, but not the model selection and hyperparameter tuning steps.
D
AutoML only automates the data preprocessing step of the machine learning workflow, leaving the rest of the workflow to be manually performed.
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