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.
When using experimenter, it uses a part of the task string to create folders were the results will be inserted. The problem is that the way the string was obtained before running the task didn't matched the created folder.
When using experimenter, it uses a part of the task string to create folders were the results will be inserted. The problem is that the way the string was obtained before running the task didn't matched the created folder.