Cost-sensitive Classifiers

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