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

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.

Categories	Weka Business Logic Libraries Machine Learning
GroupId	nz.ac.waikato.cms.weka
ArtifactId	hotSpot
Version	1.0.2
Type	jar

Download hotSpot 1.0.2

Filename	Size
hotSpot-1.0.2.pom
hotSpot-1.0.2.jar	22 KB
hotSpot-1.0.2-tests.jar	4 KB
hotSpot-1.0.2-test-sources.jar	1 KB
hotSpot-1.0.2-sources.jar	12 KB
hotSpot-1.0.2-javadoc.jar	31 KB

Apache Maven

<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/hotSpot/ -->
<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>hotSpot</artifactId>
    <version>1.0.2</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/hotSpot/
implementation 'nz.ac.waikato.cms.weka:hotSpot:1.0.2'

Gradle Kotlin

// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/hotSpot/
implementation ("nz.ac.waikato.cms.weka:hotSpot:1.0.2")

Apache Buildr

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

Apache Ivy

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

Groovy Grape

@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='hotSpot', version='1.0.2')
)

Scala SBT

libraryDependencies += "nz.ac.waikato.cms.weka" % "hotSpot" % "1.0.2"

Leiningen

[nz.ac.waikato.cms.weka/hotSpot "1.0.2"]