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.
I am a beginner of MOA. I am studying multi-label data stream, but I find that MOA has very few evaluation metrics on multi-label. I would like to try to use the evaluation metrics in meka.Is there any convenient way？ I would be very grateful if you could provide me with some suggestions.
I am a beginner of MOA. I am studying multi-label data stream, but I find that MOA has very few evaluation metrics on multi-label. I would like to try to use the evaluation metrics in meka.Is there any convenient way？ I would be very grateful if you could provide me with some suggestions.