HIGHLIGHTS
SUMMARY
The authors build models using nine mainstream time series data_analysis methods of machine_learning and deep learning to conduct various experiments on the task and dataset proposed in this study, and the results are compared and analyzed in detail. Time series analysis methods can all be regarded as regression problems, but there are some differences in regression methods, which can be divided into traditional statistical methods, machine_learning methods, and deep learning methods. Machine learning methods, represented by LightGBM and XGBoost methods, often convert the time series problem into a supervised learning problem and use machine_learning . . .
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