Complexity vs. Overfitting Studio

Model Metrics

Overfitting Risk —

Complexity (Degree) i 6

Samples i 80

Noise (σ) i 0.25

Train Split i 0.75

Data Pattern i

Deterministic seed i

Training points

Test/Validation points

True function

Increase degree to watch training error drop while validation error eventually rises.