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In the context of AutoML, explain the role of feature selection and how AutoML can automate this process. Provide a detailed description of the techniques used by AutoML for feature selection and their significance in improving model performance.
A
AutoML does not perform feature selection, as it relies on the raw dataset for training the model.
B
AutoML performs feature selection by manually selecting a fixed number of features based on their correlation with the target variable.
C
AutoML performs feature selection by using techniques such as feature importance ranking, backward elimination, and recursive feature elimination to identify the most relevant features for the model.
D
AutoML performs feature selection by randomly selecting a subset of features from the dataset, without considering their relevance to the target variable.
