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Evaluating Decision Tree Learning Algorithms by Milton Miranda is a document available to read on EtoBox.

What is Evaluating Decision Tree Learning Algorithms about?

The document presents a novel oracle-centered approach for evaluating the learning ability of decision tree algorithms, addressing the limitations of existing evaluation methods that rely on specific datasets. This approach involves generating data from reference trees (oracles) and comparing learned trees to these oracles to determine their degree of correctness (DOE). The authors empirically assess five decision tree learning algorithms using this method, highlighting its independence from domain-specific

Author

Milton Miranda

Language

EN