#xgboost
Live, measured metrics for the hashtag #xgboost from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #xgboost
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-09-28 16:39 UTC2 uses by 2 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 2026-09-28 16:39 UTCLive pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-09-28 16:39 UTCEverything below is measured over the latest 40 public posts (spanning ~20675 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (21) · Russian (18) · German (1)
Avg boosts / post: 0.2
Top of the latest posts
From Bioreactors to AI: How I Built a Machine Learning Tool to Predict Drug Manufacturing Failures *A bioprocess engineer's journey into machine learning—and why the pharmaceutical industry desperately needs this bridge* --- When I tell peo
#XGBOOST is fun
So, we have a model that wins #without #training 🤖🏆—is this the #AI equivalent #of not studying for an exam and still acing it? Meanwhile, #XGBoost is over in the corner, furiously cramming feature importance charts 📉, wondering where it
What “xgboost” means
WikipediaXGBoost is an open-source software library which provides a regularizing gradient boosting framework for C++, Java, Python, R, Julia, Perl, and Scala. It works on Linux, Microsoft Windows, and macOS. From the project description, it aims to provide a "Scalable, Portable and Distributed Gradient Boosting Library". It runs on a single machine, as well as the distributed processing frameworks Apache Hadoop, Apache Spark, Apache Flink, and Dask.
“XGBoost” on Wikipedia (CC BY-SA) →#xgboost across platforms
every network with a public tag surfaceFollow #xgboost straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/xgboost