Bias-Variance Tradeoff Demo

Interactive visualization of underfitting, overfitting, and model complexity

Model Configuration

Model Complexity (Polynomial Degree): 3

Noise Level: 5

Number of Training Samples:

Random Seed:

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Bias-Variance Tradeoff

Bias: Error from wrong assumptions (underfitting)
Variance: Error from sensitivity to training data (overfitting)
Tradeoff: Sweet spot minimizes total error

Model Complexity

Low (1-2): High bias, low variance (underfitting)
Medium (3-5): Balanced (good fit)
High (10+): Low bias, high variance (overfitting)