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Need to identify a benchmark dataset for identifying concept drift for streaming data. This can be used in our final report to showcase the accuracy of our algorithms and how effective they are at mitigating drift.
If we did happen to run into a benchmark dataset for concept drift for batch data, that would be helpful too.
Inject drift according to types of drift in Lu (sudden, gradual, abrupt and source 1, 2, and 3)
The text was updated successfully, but these errors were encountered:
Need to identify a benchmark dataset for identifying concept drift for streaming data. This can be used in our final report to showcase the accuracy of our algorithms and how effective they are at mitigating drift.
If we did happen to run into a benchmark dataset for concept drift for batch data, that would be helpful too.
Inject drift according to types of drift in Lu (sudden, gradual, abrupt and source 1, 2, and 3)
The text was updated successfully, but these errors were encountered: