Search Results - subject:"Recursive feature elimination"

Adoption factors of Fintech : evidence from an emerging economy country-wide representative sample

Mahmud, Khaled; Joarder, Md. Mahbubul Alam; … - In: International Journal of Financial Studies : open … 11 (2023) 1, pp. 1-27

sample imbalance with Synthetic Minority Oversampling Technique (SMOTE), we deployed Recursive Feature Elimination (RFE) to …

Persistent link: https://www.econbiz.de/10013545830

An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination

Gunduz, Hakan - In: Financial Innovation 7 (2021) 1, pp. 1-24

feature sets were reduced by Recursive Feature Elimination. As the highest success rate increased up to 0.685 with allstock …

Persistent link: https://www.econbiz.de/10012602909

An efficient stock market prediction model using hybrid feature reduction method based on variational autoencoders and recursive feature elimination

Gunduz, Hakan - In: Financial innovation : FIN 7 (2021), pp. 1-24

feature sets were reduced by Recursive Feature Elimination. As the highest success rate increased up to 0.685 with allstock …

Persistent link: https://www.econbiz.de/10012510234

Visualization of Feature Engineering Strategies for Predictive Analytics

Vasavi, S.; Babu, Saggurthi Kishor - In: International Journal of Natural Computing Research (IJNCR) 7 (2018) 4, pp. 20-44

Predictive analytics can forecast trends, determines statistical probabilities and to act upon fraud and security threats for big data applications. Predictive analytics as a service (PAaaS) framework based upon ensemble model that uses Gaussian process with varying hyper parameters, Artificial...

Persistent link: https://www.econbiz.de/10012046737

Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

Fan, Cheng; Xiao, Fu; Wang, Shengwei - In: Applied Energy 127 (2014) C, pp. 1-10

deviate (GESD), is performed to remove the abnormal daily energy consumption profiles. Secondly, the recursive feature … elimination (RFE), an embedded variable selection method, is applied to select the optimal inputs to the base prediction models …

Persistent link: https://www.econbiz.de/10010776559