#binaryclassification
Live, measured metrics for the hashtag #binaryclassification from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #binaryclassification
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Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-07-28 09:55 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-07-28 09:55 UTCNo related tags with measured usage found for #binaryclassification.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-07-28 09:55 UTCEverything below is measured over the latest 3 public posts (spanning ~18365 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 0
Top of the latest posts
this is an inference/ml problem that i believe is not well enough understood: you want to distinguish two classes. you care more about specificity for the positive class, than you do about sensitivity. (ideally you want both, obviously). un
📝 "Evaluating Classification Models" 👤 Jessica Greene (@sleepypioneer) 🔗 https://medium.com/@jessica0greene/evaluating-classification-models-5086f260a684?source=rss-e8fd94e62002------2 #pyladies #python #oldiebutgoodie #datascience #mlzo
Preparing to test my #kawaii intro to #AI for non-tech people. Episode 1: #binaryclassification on the beach - can you collect sea shells without catching crabs?
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