What is DFS in machine learning?
DFS stands for Depth-First Search, a graph traversal algorithm used in various machine learning applications.
Can you explain how DFS is applied in decision trees?
In decision trees, DFS is used to explore all possible paths from the root to the leaves, helping to make decisions based on the data.
What are the advantages of using DFS over other search algorithms?
DFS is memory efficient and can be more suitable for problems with deep solutions, but it may not find the shortest path.
Are there any limitations to using DFS?
Yes, DFS can get stuck in deep branches and may not explore all options if not implemented with backtracking.
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