Feature set: Revision history

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17 March 2023

20 February 2023

  • curprev 13:3413:34, 20 February 2023Alpha5 talk contribs 1,951 bytes +4 No edit summary
  • curprev 13:3313:33, 20 February 2023Alpha5 talk contribs 1,947 bytes −1,958 No edit summary
  • curprev 13:1513:15, 20 February 2023Alpha5 talk contribs 3,905 bytes +3,905 Created page with "==Introduction== In machine learning, a feature set is a collection of features or attributes that are used to represent a data point. These features are used to train a model to learn patterns in the data and make predictions on new data. The quality and relevance of the feature set are crucial to the success of the model, and feature engineering is an important step in the machine learning pipeline. ==What are features?== Features are properties or characteristics of..."
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