.svg){kind=icon}
.svg){kind=icon}
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.
Overfitting
SHARE
Related Links
A CMO recently asked me a deceptively simple question: “If we gave an AI agent full…
I once watched a campaign manager juggle ten tools, fifteen stakeholders, and a spreadsheet that looked…
