Data Mining: criteria to compare data classifiers

Course Title: Data Mining
Assignment: Linear Regression

Learning Outcomes:
Examine real world data mining questions using approaches such as the use of statistical and linear models, decision trees, Neural Networks, association rules, instanced-based learning, clustering and Bayesian classifiers
Explain the different perspectives from which data is judged, and the dimensions by which its quality may be measured

Prepare a 2 page APA paper (minimum 2 sources) to answer the following question:
It is difficult to assess classification accuracy when individual data object may belong to more than one class at a time? In such cases, comment on what criteria you would use to compare different classifiers modeled after the same data.

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