Synthetic datasets for concept drift detection purposes

  • Jesus L. Lobo (Foundation TECNALIA Research & Innovation) (Creator)
  • Jesús López Lobo (Contributor)

Dataset

Description

In order to know about the performance of a drift detector by measuring the different detection metrics, we need to know beforehand where a real drift occurs. This is only possible with synthetic datasets. The scikit-multiflow framework allows generating several kinds of synthetic data to simulate the occurrence of drifts.
Date made available17 Sept 2020
PublisherHarvard Dataverse
Date of data production2020 -

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