🎯 Bias-Variance Tradeoff Interactive Demo

Explore the fundamental tradeoff between bias and variance in machine learning!
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💡 Quick Guide:

Underfitting (Degree 1-2):

  • Model too simple
  • High bias, low variance
  • Poor on both train & test

Good Fit (Degree 3-6):

  • Balanced complexity
  • Moderate bias & variance
  • Best generalization

Overfitting (Degree 7+):

  • Model too complex
  • Low bias, high variance
  • Great on train, poor on test