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?

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

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

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

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

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