Overfitting

In machine learning (ML), Overfitting happens when a model grows overly complex and starts to perform well on training data but poorly on untrained data. It suggests that the model has learned noise from the training data rather than the underlying patterns, lowering generalization ability.

SHARE

Related Links

Are you ready for a revolution in software development? Say goodbye to tedious lines of code…

High-performing AI isn’t just built—it’s maintained. AI is revolutionizing how businesses make decisions—whether it’s forecasting demand,…

Scroll to Top