Hi, i have a question about F1_score？

[liMike1998]

I see in your metric you use the f1_score.In your code, the label=-1 means open set samples? Does this mean that your discriminator will have a binary output of a known class or an unknown class？I can't understand this.Thank you!

[aimerykong]

I recall that label=-1 means open-set examples. Yes, the discriminator is a two-way classifier that discriminates between open- vs closed-set examples.

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On Sun, Jan 2, 2022 at 10:43 PM liMike1998 ***@***.***> wrote: I see in your metric you use the f1_score.In your code, the label=-1 means open set samples? Does this mean that your discriminator will have a binary output of a known class or an unknown class？I can't understand this.Thank you! — Reply to this email directly, view it on GitHub <#8>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABRJSJEN7FBDFOSYYFQWC43UUELP5ANCNFSM5LEOBGEA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>