Feature engineering - Wikipedia

This article needs to be updated. Please help update this article to reflect recent events or newly available information. (February 2024) Feature engineering, a preprocessing step in supervised machine learning and statistical modeling,[1] transforms raw data into a more effective set of inputs. Each input comprises several attributes, known as features. By providing models with relevant informat

[IanLewis]

In pattern recognition and in image processing, feature extraction is a special form of dimensionality reduction. When the input data to an algorithm is too large to be processed and it is suspected to be notoriously redundant (much data, but not much information) then the input data will be transfo

[Nilfs]

研究用