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It is defined as an arbitrary collection of examples.

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A decision tree specifying the interests of the user in Example 1 considering ½ ¾ ¿. How such a tree is calculated will become apparent later. Scaling up the Naive Bayesian Classifier: Using Decision Trees for Feature Selection. Download. Related Papers. An analysis of four missing data treatment methods for supervised learning. By Sergio Chartier. Efficient Intrusion Classification in Network Using Supervised Data stumpchop.buzzg: pre pruningAnaheim CA.