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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

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*resources*=[weka.knowledgeflow.templates|Cross validation|weka/gui/knowledgeflow/templates/cvTemplate.kf],[weka.knowledgeflow.templates|Learn and save a model|weka/gui/knowledgeflow/templates/learnAndSaveModel.kf],[weka.knowledgeflow.templates|ROC curves for two classifiers|weka/gui/knowledgeflow/templates/ROCcurves.kf],[weka.knowledgeflow.templates|Learn and evaluate naive Bayes incrementally|weka/gui/knowledgeflow/templates/incrementalLearning.kf],[weka.knowledgeflow.templates|Compare two clusterers|weka/gui/knowledgeflow/templates/twoClusterers.kf],[weka.knowledgeflow.templates|Two attribute selection schemes|weka/gui/knowledgeflow/templates/twoAttSelSchemes.kf],[weka.knowledgeflow.templates|Save various charts to files|weka/gui/knowledgeflow/templates/saveCharts.kf],[weka.knowledgeflow.templates|Visualize prediction boundaries|weka/gui/knowledgeflow/templates/predictionBoundaries.kf],[weka.knowledgeflow.templates|Parameterizing a Job|weka/gui/knowledgeflow/templates/jobExample.kf]