!Please keep any answers short, clean, and concise please..........! a) Define what a decision tree is in machine learning and AI. Explain how decision trees are used to make decisions or classifications. b) Describe the process of constructing a decision tree from a dataset. Include the criteria used for selecting attributes at each node and how the tree is pruned to avoid overfitting.
!Please keep any answers short, clean, and concise please..........!
a) Define what a decision tree is in machine learning and
b) Describe the process of constructing a decision tree from a dataset. Include the criteria used for selecting attributes at each node and how the tree is pruned to avoid overfitting.
a) A decision tree in AI is like a flowchart that helps make choices or classify things. It looks like a tree with branches. You start at the top and follow the branches to make a decision or classify something.
b) Making a decision tree from data is like making a flowchart. You pick what to ask first, like "Is it red or blue?" Then, based on the answer, you ask another question, like "Is it big or small?" You keep doing this until you have a complete flowchart. To stop it from getting too complicated, you might erase some parts that don't help much.
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