Tag Archive: data mining

How do we compare the relative performance of several data mining models? Previously, we discussed some basic model evaluation methods and metrics. Now we delve into more of them: ROC curves, Kappa statistic, mean square error, relative squared error, mean absolute error, and relative absolute error are the various metrics used, discussed below.
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Building data mining models

In order to build the models used in data mining, one will need a set of data for training the learning algorithm, and then another set to evaluate the model built by the learning algorithm. Some basic evaluation methods and metrics are explored. Additionally, advanced techniques such as boosting and bagging may be applied to improve accuracy.
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