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Nathalie Hespeels
Researcher at Ghent University
Publications - 1
Citations - 368
Nathalie Hespeels is an academic researcher from Ghent University. The author has contributed to research in topics: Support vector machine & AdaBoost. The author has an hindex of 1, co-authored 1 publications receiving 245 citations.
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Evaluating multiple classifiers for stock price direction prediction
TL;DR: The results indicate that Random Forest is the top algorithm followed by Support Vector Machines, Kernel Factory, AdaBoost, Neural Networks, K-Nearest Neighbors and Logistic Regression in the domain of stock price direction prediction.