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Conference Paper
Study on the Performance of Regression Model according to the Composition of Time Series Dataset
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- Authors
- Hyunjong Kim, Taegyu Kang, Kiseok Choi
- Issue Date
- 2021-07
- Citation
- International Conference on Convergence Technology (ICCT) 2021, pp.378-379
- Language
- English
- Type
- Conference Paper
- Abstract
- Since the sources of fine dust vary locally depending on the region, season and time, their characteristics need to be reflected in the composition of the training dataset. We have confirmed that the accuracy of the dust concentration prediction regression model has improved to 13.9% based on the configuration scenarios of various datasets based on the feature attribute.
- KSP Keywords
- Concentration prediction, Dust concentration, Fine Dust, Time series, regression model