Overfitting is a Syndrome

Warning: This page may cause excessive sweating, spontaneous combustion, or an urge to throw away all machine learning models.

It's a condition where you've fit your model too closely to the data, making it useless on anything but the exact dataset it was trained on.

Symptoms include:

• Unwillingness to generalize
• Uncontrollable urge to overcompensate with more data
• Unrelenting need for more complex models

Causes:

• Trying too hard
• Insufficient data preprocessing
• Lack of domain expertise

Diagnosis:

• Talk to an expert (not a Google search result)
• Get more data (but not too much)
• Consider simpler models (but only after crying yourself to sleep)

Subpages:

• Underfitting is a Thing
• Regularization is a Superpower
• Regularization is Also a Pain in the Neck

Disclaimer: The content of this site is purely fictional and for entertainment purposes only. Any resemblance to real-world problems is purely coincidental.