المفاهيم الأساسية
Utilizing explainability techniques to enhance machine learning models for quality prediction in manufacturing processes.
الإحصائيات
"The Gradient Boosting Regression model yielded an error rate of 4.58%."
"By choosing only the top 20% of features deemed most critical, we enhanced the MAPE from approximately 4.58 to 4.4."
اقتباسات
"Explainability techniques are crucial in unraveling the complex prediction mechanisms embedded within ML models."
"Feature selection based on explainability methods can enhance model performance and reduce manufacturing costs."