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Use F1-Score, Accuracy etc. to evaluate the performance of the model.
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Part of the appeal of using neural networks for real-time detection is their comparatively small compute footprint. Any publication on their efficacy should show this explicitly by showing how through…
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We want to get baseline metrics for fastest possible performance, so we will set up an instance in AWS' us-west-2 region and run the following tests:
- Large numbers of files (e.g. 100, 500, 1000)
…
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Jira: ONTAPPM-104093
#2428
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Miners have a strong desire to know how their node is doing in terms of money earned, deals made, etc.
I'm not 100% sure where this should live, but it definitely relates to the markets, so i'm ope…
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### Area
Wrapper
### Domain
gov.tools
### Which wallet were you using?
N/A
### Context
Core Web Vitals Assessment is failing for both Mobile and Desktop.
Here is the link of the last assessmen…
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Fixes to be done:
- Add logging for test metrics (a sort of report of classification metrics)
- Add train-test loss curves to qualitatively measure performance and fit
- Create and analyze confusio…
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**Is your feature request related to a problem? Please describe.**
#376 => Going the way of the user being able to define the individual metrics he wants and segment into periods for all kind of metr…
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I've been going through the project's README file and would like to suggest a few changes that could enhance clarity and better align with the project's objectives, particularly since this is a regres…
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I've seen the project, and it would be better if more evaluation metrics are added such as R-squared, Mean squared logarithmic error (MLSE) and coefficient of variation to evaluate the performance of …