Download JAR files tagged by tree with all dependencies
bestFirstTree from group nz.ac.waikato.cms.weka (version 1.0.4)
Class for building a best-first decision tree classifier. This class uses binary split for both nominal and numeric attributes. For missing values, the method of 'fractional' instances is used.
For more information, see:
Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ.
Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
Group: nz.ac.waikato.cms.weka Artifact: bestFirstTree
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Show all versions Show documentation Show source
1 downloads
Artifact bestFirstTree
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 27. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/bestFirstTree
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 27. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/bestFirstTree
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
userClassifier from group nz.ac.waikato.cms.weka (version 1.0.3)
Interactively classify through visual means. You are Presented with a scatter graph of the data against two user selectable attributes, as well as a view of the decision tree. You can create binary splits by creating polygons around data plotted on the scatter graph, as well as by allowing another classifier to take over at points in the decision tree should you see fit.
For more information see:
Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark Hall, Ian H. Witten (2001). Interactive machine learning: letting users build classifiers. Int. J. Hum.-Comput. Stud. 55(3):281-292.
Group: nz.ac.waikato.cms.weka Artifact: userClassifier
Show all versions Show documentation Show source
Show all versions Show documentation Show source
2 downloads
Artifact userClassifier
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 25. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/userClassifier
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 25. April 2014
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/userClassifier
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
ridor from group nz.ac.waikato.cms.weka (version 1.0.2)
An implementation of a RIpple-DOwn Rule learner.
It generates a default rule first and then the exceptions for the default rule with the least (weighted) error rate. Then it generates the "best" exceptions for each exception and iterates until pure. Thus it performs a tree-like expansion of exceptions.The exceptions are a set of rules that predict classes other than the default. IREP is used to generate the exceptions.
For more information about Ripple-Down Rules, see:
Brian R. Gaines, Paul Compton (1995). Induction of Ripple-Down Rules Applied to Modeling Large Databases. J. Intell. Inf. Syst. 5(3):211-228.
1 downloads
Artifact ridor
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/ridor
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/ridor
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
albero-web-servlet from group nl.trivento.albero (version 0.2)
A bank decides using various criteria whether a customer wil receive a loan. An insurer uses specific information to determine which insurance product is most suitable for its customer.
A municipality makes decisions based on yet other information, to determine whether it will grant permits or if a citizen is entitled to a public transport pass. Decision trees are frequently used in order to make such decisions or recommendations.
Albero is a new generation decision tree solution. It is simple, fast, and flexible. Further, Albero is easily adaptable and can integrate easily into any environment.
Artifact albero-web-servlet
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 5
Dependencies json-simple, albero-engine, albero-common, servlet-api, albero-model,
There are maybe transitive dependencies!
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 5
Dependencies json-simple, albero-engine, albero-common, servlet-api, albero-model,
There are maybe transitive dependencies!
albero-web-proxy from group nl.trivento.albero (version 0.2)
A bank decides using various criteria whether a customer wil receive a loan. An insurer uses specific information to determine which insurance product is most suitable for its customer.
A municipality makes decisions based on yet other information, to determine whether it will grant permits or if a citizen is entitled to a public transport pass. Decision trees are frequently used in order to make such decisions or recommendations.
Albero is a new generation decision tree solution. It is simple, fast, and flexible. Further, Albero is easily adaptable and can integrate easily into any environment.
Artifact albero-web-proxy
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 2
Dependencies albero-common, servlet-api,
There are maybe transitive dependencies!
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 2
Dependencies albero-common, servlet-api,
There are maybe transitive dependencies!
albero-traversal-random from group nl.trivento.albero (version 0.2)
A bank decides using various criteria whether a customer wil receive a loan. An insurer uses specific information to determine which insurance product is most suitable for its customer.
A municipality makes decisions based on yet other information, to determine whether it will grant permits or if a citizen is entitled to a public transport pass. Decision trees are frequently used in order to make such decisions or recommendations.
Albero is a new generation decision tree solution. It is simple, fast, and flexible. Further, Albero is easily adaptable and can integrate easily into any environment.
0 downloads
Artifact albero-traversal-random
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 3
Dependencies albero-engine, albero-common, albero-model,
There are maybe transitive dependencies!
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 3
Dependencies albero-engine, albero-common, albero-model,
There are maybe transitive dependencies!
albero-testing from group nl.trivento.albero (version 0.2)
A bank decides using various criteria whether a customer wil receive a loan. An insurer uses specific information to determine which insurance product is most suitable for its customer.
A municipality makes decisions based on yet other information, to determine whether it will grant permits or if a citizen is entitled to a public transport pass. Decision trees are frequently used in order to make such decisions or recommendations.
Albero is a new generation decision tree solution. It is simple, fast, and flexible. Further, Albero is easily adaptable and can integrate easily into any environment.
Artifact albero-testing
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 4
Dependencies albero-engine, albero-common, albero-model, testng,
There are maybe transitive dependencies!
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 4
Dependencies albero-engine, albero-common, albero-model, testng,
There are maybe transitive dependencies!
albero-repositories-database from group nl.trivento.albero (version 0.2)
A bank decides using various criteria whether a customer wil receive a loan. An insurer uses specific information to determine which insurance product is most suitable for its customer.
A municipality makes decisions based on yet other information, to determine whether it will grant permits or if a citizen is entitled to a public transport pass. Decision trees are frequently used in order to make such decisions or recommendations.
Albero is a new generation decision tree solution. It is simple, fast, and flexible. Further, Albero is easily adaptable and can integrate easily into any environment.
0 downloads
Artifact albero-repositories-database
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 3
Dependencies albero-engine, commons-dbcp, albero-common,
There are maybe transitive dependencies!
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 3
Dependencies albero-engine, commons-dbcp, albero-common,
There are maybe transitive dependencies!
albero-repositories-classpath from group nl.trivento.albero (version 0.2)
A bank decides using various criteria whether a customer wil receive a loan. An insurer uses specific information to determine which insurance product is most suitable for its customer.
A municipality makes decisions based on yet other information, to determine whether it will grant permits or if a citizen is entitled to a public transport pass. Decision trees are frequently used in order to make such decisions or recommendations.
Albero is a new generation decision tree solution. It is simple, fast, and flexible. Further, Albero is easily adaptable and can integrate easily into any environment.
0 downloads
Artifact albero-repositories-classpath
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 2
Dependencies albero-engine, albero-common,
There are maybe transitive dependencies!
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 2
Dependencies albero-engine, albero-common,
There are maybe transitive dependencies!
albero-parsers-groovy from group nl.trivento.albero (version 0.2)
A bank decides using various criteria whether a customer wil receive a loan. An insurer uses specific information to determine which insurance product is most suitable for its customer.
A municipality makes decisions based on yet other information, to determine whether it will grant permits or if a citizen is entitled to a public transport pass. Decision trees are frequently used in order to make such decisions or recommendations.
Albero is a new generation decision tree solution. It is simple, fast, and flexible. Further, Albero is easily adaptable and can integrate easily into any environment.
Artifact albero-parsers-groovy
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 3
Dependencies albero-engine, albero-common, albero-model,
There are maybe transitive dependencies!
Group nl.trivento.albero
Version 0.2
Last update 05. December 2011
Organization not specified
URL https://github.com/Albero/Albero
License The Apache Software License, Version 2.0
Dependencies amount 3
Dependencies albero-engine, albero-common, albero-model,
There are maybe transitive dependencies!
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