Boosting: Revision history

From CS Wiki

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

30 November 2024

  • curprev 18:5718:57, 30 November 2024‎ Prairie talk contribs‎ 4,332 bytes +4,332‎ Created page with "'''Boosting''' is an ensemble learning technique in machine learning that focuses on improving the performance of weak learners (models that perform slightly better than random guessing) by sequentially training them on the mistakes made by previous models. Boosting reduces bias and variance, making it effective for building accurate and robust predictive models. ==Overview== The key idea behind boosting is to combine multiple weak learners into a single strong learner...." Tag: Visual edit
Retrieved from "https://cswiki.net/w/Boosting"