Unfit Tree

Latham is a data scientist at a startup, and he has been working on building a machine-learning model to classify customers into different categories.

After some investigation, Latham discovers that the Decision Tree model he used is not doing great. He remembers reading about a technique called pruning that could help.

What is the purpose of pruning a Decision Tree?

To improve the model's ability to generalize to new data.

To reduce the complexity of the model and make it easier to interpret.

To improve the model's training speed and efficiency.

Pruning should never be used