Investigating boosting techniques’ efficacy in feature selection: A comparative analysis-Reference-Cited by-同舟云学术

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Investigating boosting techniques’ efficacy in feature selection: A comparative analysis

Published:2024-06 Issue: Volume:11 Page:3521-3532
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Ahmed Ubaid,Mahmood Anzar,Tunio Majid Ali^ORCID,Hafeez Ghulam,Khan Ahsan Raza,Razzaq Sohail

Publisher

Elsevier BV

Reference40 articles.

1. Anon, ., 0000. CatBoost, Yandex, URL https://catboost.ai/.

2. Parameters;Anon,2023

3. Sklearn.ensemble.RandomForestRegressor;Anon,2023

4. Anon, ., 2024. NSRDB: National Solar Radiation Database, NREL Transforming Energy, URL https://nsrdb.nrel.gov/data-viewer.

5. Estimation of solar radiation using a combination of hidden Markov model and generalized fuzzy model;Bhardwaj;Sol. Energy,2013

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1. Studying the Thermodynamic Phase Stability of Organic–Inorganic Hybrid Perovskites Using Machine Learning;Molecules;2024-06-22

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