What is overfitting, and why is it a problem in Machine Learning models?

  • Fitting a model too loosely to training data
  • Fitting a model too well to training data, ignoring generalization
  • Ignoring irrelevant features
  • Including too many variables
Overfitting occurs when a model fits the training data too well, capturing noise rather than the underlying pattern. This leads to poor generalization to new data, resulting in suboptimal predictions on unseen data.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *