A study for investigating classification accuracy and consistency between K-fold cross validation and complete-data model

碩士 === 國立成功大學 === 資訊管理研究所 === 101 === In classification applications, analysts generally use K-fold cross validation to find the classifier that has the best performance. Then the classifier generates a learning model from all available data for prediction and interpretation. The K-fold cross valida...

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Bibliographic Details
Main Authors: Ying-YiChen, 陳映伊
Other Authors: Tzu-Tsung Weng
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/00015703419684582128