摘要
Abstract
With the wide application of machine learning technology,the impact of data standardization on model performance has become increasingly prominent.In this paper,a standardized data processing model is constructed,a variety of standardized methods are integrated,machine learning algorithms are introduced,and a standardized application framework covering data preprocessing,feature engineering,and model training is established.The experimental verification results show that the accuracy of the model is increased by 15%,the training time is reduced by 30%,and the model has strong adaptability in different application scenarios.Standardized data models provide important data foundation support for machine learning application,which are of great significance for improving the level of artificial intelligence technology.关键词
数据标准化/机器学习/特征工程/模型性能/数据预处理Key words
data standardization/machine learning/feature engineering/model performance/data preprocessing
