Exercise

Using smoothing parameters to avoid overfitting

The smoothing parameter balances between likelihood and wiggliness to optimize model fit. Here, you'll examine smoothing parameters and will fit models with different fixed smoothing parameters.

Instructions

100 XP

View the value of the smoothing parameter (\(\lambda\)) of the provided gam_mod model by extracting the sp value from the model.
Fit two models to the mcycle data with accel as a smooth function of times and a smoothing parameter of:
- 0.1
- 0.0001
Visualize both models.

Take Hint (-30 XP)