Interface administrators, Administrators (Semantic MediaWiki), Curators (Semantic MediaWiki), Editors (Semantic MediaWiki), Suppressors, Administrators
7,785
edits
Feature set: Difference between revisions
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..."
(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...") |
(No difference)
|