Training & Production Performance Mismatch in ML
#machinelearning #artificialintelligence #datascience
Training and production performance skewness in machine learning refers to the phenomenon where the performance of a machine learning model during the training phase significantly differs from its performance in a production environment. This skewness can arise due to various factors and may lead to unexpected behavior or suboptimal results when a model is deployed for real-world use.
Mismatch in Training and Production Performance in Machine Learning