A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE)

A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE)

The prediction of stock prices has become an exciting area for researchers as well as academicians due to its economic impact and potential business profits. This study proposes a novel multiclass classification ensemble learning approach for predicting stock prices based on historical data using fe...

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Bibliographic Details
Main Authors: Rebwar M. Nabi, Soran Ab. M. Saeed, Habibollah Harron
Format: Article
Language:English
Published: Sulaimani Polytechnic University 2020-04-01
Series:Kurdistan Journal of Applied Research
Subjects:
Stock Market Forecasting, Feature Engineering Feature Selection Machine Learning Predictive Analysis Predictable Movement Multiclass Classification
Online Access:https://www.kjar.spu.edu.iq/index.php/kjar/article/view/427

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