Evaluation Measures for Data Mining Tasks
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چکیده
Evaluating the performance of a data mining technique is a fundamental aspect of machine learning. Evaluation method is the yardstick to examine the efficiency and performance of any model. The evaluation is important for understanding the quality of the model or technique, for refining parameters in the iterative process of learning and for selecting the most acceptable model or technique from a given set of models or techniques. There are several criteria for evaluating models for different tasks and other criteria that can be important as well, such as the computational complexity or the comprehensibility of the model. The most widely used measures for evaluating the performance of the techniques used for carrying out different data mining tasks (classification, association rule mining and clustering) are discussed here.
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