(КПІ ім. Ігоря Сікорського, 2022) Oleshchenko, L. M.; Chao Wang
This experiment primarily focuses on the usage of classical algorithms that can significantly enhance performance on the time series data. Many deep learning algorithms suffer from the problem of overfitting. Sometimes the training data may not be a good representation of real time data, the ensemble methods proposed in this paper, not only increase the accuracy of prediction, but also the reliability of the performance on generalization.