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Calculate ranger performances (resources usage on flatsat, accuracy ...) #24

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TanguySoto opened this issue May 6, 2021 · 1 comment
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@TanguySoto
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This story is part of epic Evaluate the ranger library for batch training with Random Forest.

  • Benchmark ranger on the flatsat with realistic amount of data (PD values + labels, maybe 1000 samples minimum?)
  • Calculate the classification metrics of the trained model by using the same dataset used in the paper when evaluating the performance of the Mochi models
@TanguySoto TanguySoto added the story issue constituting an epic label May 6, 2021
@TanguySoto TanguySoto assigned ghost May 6, 2021
@TanguySoto TanguySoto changed the title Calculate ranger performances (time, accuracy ...) Calculate ranger performances (resources usage on flatsat, accuracy ...) May 6, 2021
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