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.
Comparing with the original AdaptiveRandomForest, New_AdaptiveRandomForest with an extra option to turn off resampling function. The new feature is designed to deal with balanced datasets.
Comparing with the original AdaptiveRandomForest, New_AdaptiveRandomForest with an extra option to turn off resampling function. The new feature is designed to deal with balanced datasets.