首页>
外国专利>
MACHINE LEARNING METHOD AND APPARATUS USING STEPS FEATURE SELECTION BASED ON GENETIC ALGORITHM
MACHINE LEARNING METHOD AND APPARATUS USING STEPS FEATURE SELECTION BASED ON GENETIC ALGORITHM
展开▼
机译：基于遗传算法的步骤特征选择机器学习方法和装置
展开▼
页面导航
摘要
著录项
摘要
The present invention provides a machine learning method and apparatus using a genetic algorithm-based step-by-step feature selection, comprising: defining a feature set including a plurality of features; generating a plurality of feature combinations consisting of n-dimensional features (where n is a natural number) for the feature set; independently constructing feature models for the plurality of feature combinations and calculating prediction accuracy (Accuracy) of each of the feature models as a prediction result for a predetermined data set; arranging the feature models according to the prediction accuracy to determine at least one good feature model that satisfies a preset criterion; determining at least one even feature from among features included in a corresponding feature set of the at least one even feature model; and updating the feature set to include only the at least one even feature, and recrystallizing an even feature model for a (n+1)-dimensional feature combination based on the updated feature set.
展开▼
