Download all versions of hotSpot JAR files with all dependencies
hotSpot from group nz.ac.waikato.cms.weka (version 1.0.14)
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.
Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.14
Last update 09. August 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.14
Last update 09. August 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
hotSpot from group nz.ac.waikato.cms.weka (version 1.0.13)
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.
Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.13
Last update 06. August 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.13
Last update 06. August 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
hotSpot from group nz.ac.waikato.cms.weka (version 1.0.12)
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.
Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.12
Last update 26. July 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.12
Last update 26. July 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
hotSpot from group nz.ac.waikato.cms.weka (version 1.0.11)
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.
Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.11
Last update 07. July 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.11
Last update 07. July 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
hotSpot from group nz.ac.waikato.cms.weka (version 1.0.10)
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.
Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.10
Last update 29. June 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.10
Last update 29. June 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
hotSpot from group nz.ac.waikato.cms.weka (version 1.0.9)
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.
Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.9
Last update 27. June 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.9
Last update 27. June 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
hotSpot from group nz.ac.waikato.cms.weka (version 1.0.8)
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.
Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.8
Last update 09. June 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.8
Last update 09. June 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
hotSpot from group nz.ac.waikato.cms.weka (version 1.0.7)
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.
Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.7
Last update 09. June 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.7
Last update 09. June 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
hotSpot from group nz.ac.waikato.cms.weka (version 1.0.6)
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.
Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.6
Last update 02. June 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.6
Last update 02. June 2021
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority minimum have highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
hotSpot from group nz.ac.waikato.cms.weka (version 1.0.3)
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.
Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 26. April 2012
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority have minimum highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 26. April 2012
Tags: numeric higher where nominal payout tree given interest value groups structure support health like that scenario displayed ratio whole than maximize example this insurance might segments minority have minimum highest data constraint occuring interested risk finding probability hotspot want find look with minimize rules which there learns target high claim variable average
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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