Feature Selection
2000년 도입 · 논문 1,602편에서 사용
Feature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features (variables, predictors) for use in model construction.
출처: Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review
소개 논문: Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review
AutoML · General