Evaluation of Artificial Intelligence Methods for Lead Time Prediction in Non-Cycled Areas of Automotive Production

arXiv:2501.07317 · cs.LG, cs.AI, cs.RO · Submitted 2025-01-13 · Read on arXiv

cs.LG, cs.AI, cs.RO

Submitted: 2025-01-13

Updated: 2025-01-15

Journal ref: CLC2024 2024

DOI: 10.1007/978-3-032-28931-5_21

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 36× in this paper · explained in 1 episode
• Ensemble Learning — 8× in this paper · explained in 2 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Core — 4× in this paper · explained in 2 episodes
• Support Vector Machines — 3× in this paper
• Feature Selection — 2× in this paper · explained in 4 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Test and Finish Centre — 1× in this paper

Sources

• CatBoost: unbiased boosting with categorical features

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