Using custom trainControl
Now that you have a custom trainControl object, it's easy to fit caret models that use AUC rather than accuracy to tune and evaluate the model. You can just pass your custom trainControl object to the train() function via the trControl argument, e.g.:
train(<standard arguments here>, trControl = myControl)
This syntax gives you a convenient way to store a lot of custom modeling parameters and then use them across multiple different calls to train(). You will make extensive use of this trick in Chapter 5.
Este ejercicio forma parte del curso
Machine Learning with caret in R
Instrucciones del ejercicio
- Use
train()to predictClassfrom all other variables in theSonardata (that is,Class ~ .). It should be aglmmodel (that is, setmethodto"glm") using your customtrainControlobject,myControl. Save the result tomodel. - Print the model to the console and examine its output.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Train glm with custom trainControl: model
# Print model to console