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.
The columns of the results of EvaluateModel do not match each column header. From Fig. 2 the evaluation time column has the values of classified instances. This do not let me know exactly what is the accuracy for EvaluateModel. Any help?
Hi,
Please see the two pictures below:
Fig. 1 EvaluateInterleavedTestThenTrain
Fig. 2 EvaluateModel
The columns of the results of EvaluateModel do not match each column header. From Fig. 2 the evaluation time column has the values of classified instances. This do not let me know exactly what is the accuracy for EvaluateModel. Any help?