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When To Stop Decision Tree Splitting?
When To Stop Decision Tree Splitting? Determining when to stop the splitting process in a decision tree is crucial to prevent overfitting or excessive complexity. Here are some common stopping criteria used in decision tree algorithms: Maximum Depth: The decision tree is limited to a maximum depth or number of levels. Once the tree reaches this depth, no further splitting is performed. Limiting the depth helps control the complexity of the tree and prevents overfitting, particularly when dealing with noisy or small datasets. Minimum Number of Samples per Leaf: Nodes are not allowed to split further if the number of
