This is the Windows app named Cost-sensitive Classifiers whose latest release can be downloaded as AllCode.rar. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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Cost-sensitive Classifiers
DESCRIPTION
Adaboost extensions for cost-sentive classification
CSExtension 1
CSExtension 2
CSExtension 3
CSExtension 4
CSExtension 5
AdaCost
Boost
CostBoost
Uboost
CostUBoost
AdaBoostM1
Implementation of all the listed algorithms of the cluster "cost-sensitive classification".
They are the meta algorithms which requires base algorithms e.g. Decision Tree
Moreover,
Voting criteria is also required e.g. Minimum expected cost criteria
Input also requires to load an arff file and a cost matrix (sample arff and cost files are uploaded for users' reference)
This extension uses weka for classification and generates the classification model along with confusion matrix. For given dataset and cost matrix
Features
- cost sensitive data mining
- data mining
- adaboost
- cost sensitive adaboost
Audience
Science/Research, Engineering
User interface
Java Swing
Programming Language
Java
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/csextensions/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
