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