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Waikato / moa

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.
http://moa.cms.waikato.ac.nz/
GNU General Public License v3.0
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plotes in MOA #136

Closed Reyhane14 closed 3 years ago

Reyhane14 commented 6 years ago

Hi, I use Adaptive Hoeffding tree by MOA in my research and I have some problem. I will be wounder if help me. I have some questions:

  1. How can show number of active leaves for instances by plot?
  2. Can show false positive or ROC metrics for evaluate model? and is it possible to compare accuracy of an streaming method with other machine learning method like KNN (batch learning)?

Thanks

hmgomes commented 3 years ago

Hi there,

  1. check activeLeafNodeCount in HoeffdingAdaptiveTree.java
  2. You can use AUC or other metrics available. It is possible to compare it against other machine learning methods, Knn is implemented in MOA as well.