Massive Online Analysis (MOA) contains a vast collection of various machine learning algorithms that includes algorithms for classification, regression, clustering, outlier detection, concept drift detection and recommender system, and tools for evaluation. All algorithms are designed for large-scale machine learning, with the concept of drift and deals with big streams of real-time data. It also works and integrates well with Weka.

It is available as a GNU license and can be downloaded from https://moa.cms.waikato.ac.nz/. The following are its main packages:

• moa.classifiers: Contains the algorithms for classification
• moa.clusters: Contains the algorithms for clustering
• moa.streams: Contains the classes related to working with streams
• moa.evaluation: Used for evaluating