財報重編預測 | 黃聖育’s Portfolio

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財報重編預測

財報重編預測

財報重編預測

Engineer

・

Taiwan

本研究目的在於利用5種機器學習技術來對重編公司進行8個重編類別的預測，並使用1：1配對非重編公司，進一步利用特徵選取篩選找出重編的風險變數，發現特徵選取能夠有效提升模型預測效果(約6%)。

並參加國際大數據與ERP學術及實務研討會榮獲第二名，推薦至推薦至Journal of e-Business (TSSCI)

本研究目的在於利用5種機器學習技術來對重編公司進行8個重編類別的預測，並使用1：1配對非重編公司，進一步利用特徵選取篩選找出重編的風險變數，發現特徵選取能夠有效提升模型預測效果(約6%)。

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Published: Feb 7th 2023

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