• Groups
• nz.ac.waikato.cms.weka
• hotSpot
• 1.0.2

hotSpot

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 occuring (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 payout.

'nz.ac.waikato.cms.weka:hotSpot:1.0.2'

<dependency>
	<groupId>nz.ac.waikato.cms.weka</groupId>
	<artifactId>hotSpot</artifactId>
	<version>1.0.2</version>
</dependency>

<dependency org="nz.ac.waikato.cms.weka" name="hotSpot" rev="1.0.2"/>

"nz.ac.waikato.cms.weka", "hotSpot", "1.0.2"

Dependencies

Compile dependencies

• nz.ac.waikato.cms.weka » weka-dev » [3.7.1,)

Test dependencies

• junit » junit » 3.8.2