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NOTE: HotSpot is available in Weka 3.5.8 and higher. From Weka 3.7.2 it has moved to a package called "hotSpot", which can be installed via the package manager in Weka 3.7.2. Package information can be browsed online: http://weka.sourceforge.net/packageMetaData/hotSpot/index.html |
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HotSpot learns a set of rules (displayed in a tree-like structure) that maximize/minimize a target variable/value of interest. With a nominal target, one might want to look for segments of the data where there is a high probability of a minority value occurring (given the constraint of a minimum support). For a numeric target, one might be interested in finding segments where this is higher on average than in the whole data set. For example, in a health insurance scenario, find which health insurance groups are at the highest risk (have the highest claim ratio), or, which groups have the highest average insurance pay-out.
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