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Benchmarking numalogic ML algorithms against time series datasets

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Benchmarks

This section contains some benchmarking results of numalogic's algorithms on real as well synthetic data. Datasets here are publicly available from their respective repositories.

Note that efforts have not really been made on hyperparameter tuning. This is just to give users an idea on how each algorithm is suitable for different kinds of data, and shows how they can do their own benchmarking too.

This is an ongoing process, and we will add more benchmarking results in the near future.

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Benchmarking numalogic ML algorithms against time series datasets

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