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ans is C 

 a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data but not decisions; rather the resulting classification tree can be an input for decision making

refer https://en.wikipedia.org/wiki/Decision_tree_learning

Classification Techniques

Decision Tree based Methods  

Rule-based Methods  ,Memory based reasoning ,Neural Networks ,Naïve Bayes , Bayesian Belief Networks

Decision Tree Based Classification  Advantages:

Inexpensive to construct 

Extremely fast at classifying unknown records

Easy to interpret for small-sized trees

Accuracy is comparable to other classification techniques for many simple data sets

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