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on 5/26/2013 3:06 PM
I got interested in the following question lately: given a data set of examples with some continuous-valued features and discrete classes, what’s a good way to reduce the continuous features into a set of discrete values? What makes this question interesting? One very specific reason is that some machine learning algorithms, like Decision Trees, require discrete features. As a result, potentially informative data has to be discarded. For example, consider the Titanic dataset: we know the age of passengers [...]
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