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This document presents a case study on lead time estimation in a drilling factory using machine learning and deep learning algorithms. It compares various predictive models to determine which is most effective for estimating processing times based on a pre-processed dataset. The study emphasizes the importance of feature analysis and the application of SHAP values to understand the influence of different features on predictions.

Author

rendar55

Language

EN