Train a boosted ensemble
Boosted ensemble models are among the most powerful machine learning methods that exist today. After you learned about the theoretical foundations, it's time to put these into practice. You will create a boosted model ensemble using the credit card customers training data.
Pre-loaded in your workspace are the training data customers_train and the boosted tree specification that you created previously, boost_spec.
แบบฝึกหัดนี้เป็นส่วนหนึ่งของหลักสูตร
Machine Learning with Tree-Based Models in R
แบบฝึกหัดเชิงโต้ตอบแบบลงมือทำ
ลองทำแบบฝึกหัดนี้โดยเติมโค้ดตัวอย่างนี้ให้สมบูรณ์
# Train the model on the training set
boost_model <- fit(___,
___,
___)
boost_model