Fold 1 of N
Use the sliders to fit a curve (`y = dx³ + ax² + bx + c`) to the blue training data. Minimize the training error.
Training RMSD:
0.00
Test RMSD:
0.00
Learn how cross-validation works by fitting a model to different subsets of data.
We've generated 36 data points from a quadratic function with some noise. How many ways do you want to split the data for cross-validation?
Use the sliders to fit a curve (`y = dx³ + ax² + bx + c`) to the blue training data. Minimize the training error.
| Fold | Cubic (d) | Quadratic (a) | Linear (b) | Intercept (c) | Training RMSD | Test RMSD |
|---|
This average value gives you a more robust estimate of your model's performance on unseen data.