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Synthetic datasets for concept drift detection purposes

  • Jesus L. Lobo (Fundación TECNALIA Research & Innovation) (Creador)
  • Jesús López Lobo (Colaborador)

Dataset

Descripción

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.
Datos disponibles17 sept 2020
EditorHarvard Dataverse
Fecha de publicación2020 -

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