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HBA-LightGBM: Honey Badger Algorithm With LightGBM Model For Solar Irradiance Forecasting
IEEE Transactions on Industry ApplicationsThe precise forecasting of solar energy holds significant importance for photovoltaic power plants, facilitating early engagement in energy auctions and cost-efficient resource planning.
Ashish Prajesh, Prerna Jain
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Corporate finance risk prediction based on LightGBM
Information Sciences, 2022Di-ni Wang, Lang Li, Da Zhao
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Sales Forecasting Based on LightGBM
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE), 2021The combination of data science and machine learning is making sales forecasting possible. This will help improve the competitiveness of retail companies. This paper is based on the LightGBM framework, which is an improved GBDT model to realize Wal-Mart sales fore-casting.
Tingyan Deng +3 more
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Proceedings of the 2017 International Conference on Computational Biology and Bioinformatics, 2017
miRNAs are small noncoding RNA molecules, mainly responsible for post-transcriptional control of gene expressions. Machine learning is becoming more and more widely used in breast tumor classification and diagnosis. In this paper, we compared the performance of different machine learning methods, such as Random Forest (RF), eXtreme Gradient Boosting ...
Dehua Wang, Yang Zhang, Yi Zhao
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miRNAs are small noncoding RNA molecules, mainly responsible for post-transcriptional control of gene expressions. Machine learning is becoming more and more widely used in breast tumor classification and diagnosis. In this paper, we compared the performance of different machine learning methods, such as Random Forest (RF), eXtreme Gradient Boosting ...
Dehua Wang, Yang Zhang, Yi Zhao
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LightGBM Based Optiver Realized Volatility Prediction
2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE), 2021Nowadays, market volatility prediction is the most prominent terms you will hear in the trading market. Realized volatility is the representation of price movements, market's volatility and the trading risks. A little change happened in volatility will affect the expected return on all assets. In this article, we will use the dataset provided by Kaggle
Yue Wu, Qi Wang
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Leveraging LightGBM for Categorical Big Data
2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService), 2021LightGBM is a popular Gradient Boosted Decision Tree implementation for classification and regression tasks. Our contribution is to answer a research question regarding LightGBM. We would like to know which alternative yields better performance for classifying highly imbalanced Big Data with high-cardinality categorical features: relying entirely on ...
John Hancock, Taghi M. Khoshgoftaar
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