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  3. Hyperparameter Tuning in R

Exercise

Model parameters vs. hyperparameters

In order to perform hyperparameter tuning, it is important to really understand what hyperparameters are (and what they are not). So let's look at model parameters versus hyperparameters in detail.

Note: The Breast Cancer Wisconsin (Diagnostic) dataset has been loaded as breast_cancer_data for you.

Instructions

100 XP
  • Use this dataset to fit a linear model with concavity_mean as response and symmetry_mean as predictor variable.
  • Look at the summary() of this linear model.
  • Extract the coefficients.