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Machine Learning for ETA Prediction by International Journal of Innovative Science and Research Technology is a document available to read on EtoBox.

What is Machine Learning for ETA Prediction about?

The study explores the use of machine learning algorithms, particularly tree-based models like LightGBM, to predict the Estimated Time of Arrival (ETA) for vehicle trips using historical taxi trip data. The research highlights the effectiveness of data cleaning, feature engineering, and hyperparameter tuning, with LightGBM achieving the best performance in terms of accuracy and training time. The findings suggest that machine learning can significantly enhance traffic planning and customer satisfaction in t

Author

International Journal of Innovative Science and Research Technology

Language

EN