1. Lernen
    2. /
  2. Kurse
    3. /
  3. Modeling with tidymodels in R
Connected

Übung

Measuring performance with cross validation

Cross validation is a method that uses training data to provide multiple estimates of model performance. When trying different model types on your data, it is important to study their performance profile to help decide which model type performs consistently well.

In this exercise, you will perform cross validation with your decision tree model workflow to explore its performance.

The training data, loans_training, and your workflow object, loans_dt_wkfl, have been loaded into your session.

Anleitung 1/4

undefined XP
    1
    2
    3
    4
  • Create a cross validation object with 5 folds using the training data, making sure to stratify by the outcome variable.