Discuss the importance of data : The stopping criteria for controlling tree growth

The video tutorial explains how to control the growth of decision trees to prevent overfitting. It introduces three methods: setting a minimum number of observations required to split a node, specifying the minimum number of observations at a leaf node, and defining the maximum depth of the tree. These methods help in determining when the tree-building process should stop, ensuring the tree does not grow excessively and maintains accuracy.

What are the stopping criteria for controlling tree growth?

How can the methods discussed help in avoiding overfitting in decision trees?

Explain the first method to control tree growth mentioned in the text.

What is the significance of specifying the minimum number of observations at a leaf node?

Describe how the maximum depth of a tree can influence its growth.