Chapter 35 of 496 min read
Chapter 12.2 — Feature Selection, Hyperparameter Optimization, and Model Evaluation
Learning Objectives Apply feature selection to reduce dimensionality before modeling Tune model hyperparameters systematically Interpret ROC curves and AUC Feature Selection With biological datasets often containing far…
Sign in to read this
“Chapter 12.2 — Feature Selection, Hyperparameter Optimization, and Model Evaluation” is for subscribers. Start with a free account — it takes a name and an email — then subscribe for $1 a month to open it.
- Python and R courses free in full
- First two chapters of every other course