Abstract
Neural networks are a way to mimic the working of a human brain. Decision
trees refer to the decision support structure that uses a tree to make decisions and draw
all possible consequences. Decision trees are a way to display conditional control
statements. In the following chapter, we will discuss decision trees, regression trees,
stopping criterion and pruning loss functions in a decision tree, categorical attributes,
multiway splits and missing values in decision trees, and instability in decision trees.
Keywords: Decision trees, Instability in decision trees, Multiway splits, Regression trees.
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