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Automatically tuning thresholds
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1,289Views
Mar 192025
You can get a lot of traction in your data science career if you are good at picking the right threshold. A few years ago this would involve manual labor, but these days you can also use new tools in scikit-learn that can automate the selection. This video explains how it works. 00:00 Introducing thresholds 03:33 TunedThresholdClassifierCV 06:38 Speedup and overfitting If you want to learn more about overfitting with the TunedThresholdClassifierCV object, this guide may be relevant: https://scikit-learn.org/stable/auto_... Website: https://probabl.ai/ LinkedIn:   / probabl   Twitter: https://x.com/probabl_ai Bluesky: https://bsky.app/profile/probabl.bsky... Discord: https://discord.probabl.ai We also host a podcast called Sample Space, which you can find on your favourite podcast player. All the links can be found here: https://rss.com/podcasts/sample-space/ #probabl

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