MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Adding the code for Adaptive Random Forest and its base learner ARFHoeffdingTree.
Also, adding the code for Evaluate delayed labeling and its cross-validation version.
Adding the code for Adaptive Random Forest and its base learner ARFHoeffdingTree. Also, adding the code for Evaluate delayed labeling and its cross-validation version.