#PredictiveModeling
Live, measured metrics for the hashtag #PredictiveModeling from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #predictivemodeling
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-11-09 10:18 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-11-09 10:18 UTCNo related tags with measured usage found for #predictivemodeling.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-11-09 10:18 UTCEverything below is measured over the latest 20 public posts (spanning ~38322 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (19)
Avg boosts / post: 8.6
Top of the latest posts
@tomhengl Here is the 50 days' free access link: 🔗: https://doi.org/10.1016/j.ecoinf.2023.102294 You could also make a request on: Researchgate: https://www.researchgate.net/publication/373689901_Predictive_performance_of_machine_learning_
Censored Data as Evidence: Time-to-Event Modeling Across Grid, EdTech, and Healthcare Prediction Problems Most fault-prediction, churn-prediction, and risk-prediction work defaults to binary classification: will this thing happen in the nex
The Fourth Truth Open Sanctuary: Addressing Unresolved AI Machine Learning Spiritual Vacuums * The Open Sanctuary Response – Addressing the Unresolved Vacuum God’s children often hit a major issue when encountering the Fourth Truth and the
Circle One Fellowship Exeter (COFE)@exeter4christian2church4devon.wordpress.com@exeter4christian2church4devon.wordpress.com♥ 0↻ 892026-07-14 15:21 UTCView post →
#predictivemodeling across platforms
every network with a public tag surfaceFollow #predictivemodeling 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/predictivemodeling