What does overfitting mean in machine learning?

Model performs poorly on training data

Model learns noise in the training data

Model underfits the data

Model is too simple

Overfitting occurs when a model learns the noise and details of the training data, reducing its ability to generalize.

Strengthen Your Practice with our comprehensive question bank.

Get Expert Advice for Free: Register for Your Free Consultation Now!

Full Name

Phone Number

Select Language

Select Course

Please leave this field empty.