Search Results for author: JinHong Du

Found 1 papers, 0 papers with code

A Machine Learning Framework for Stock Selection

no code implementations5 Jun 2018 XingYu Fu, JinHong Du, Yifeng Guo, Mingwen Liu, Tao Dong, XiuWen Duan

The effectiveness of the stock selection strategy is validated in Chinese stock market in both statistical and practical aspects, showing that: 1) Stacking outperforms other models reaching an AUC score of 0. 972; 2) Genetic Algorithm picks a subset of 114 features and the prediction performances of all models remain almost unchanged after the selection procedure, which suggests some features are indeed redundant; 3) LR and DNN are radical models; RF is risk-neutral model; Stacking is somewhere between DNN and RF.

BIG-bench Machine Learning feature selection

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