Bias-Variance Trade-Off: Revision history

From IT위키

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.

    5 November 2024

    • curprev 07:4907:49, 5 November 2024‎ 핵톤 talk contribs‎ 6,277 bytes +6,277‎ Created page with "The Bias-Variance Trade-Off is a fundamental concept in machine learning that describes the balance between two sources of error that affect model performance: bias and variance. The goal is to achieve a balance between bias and variance that minimizes the model’s total error, enabling it to generalize well to new, unseen data. ==Understanding Bias and Variance== *'''Bias''': Refers to the error introduced by approximating a complex real-world problem with a simplified..." Tag: Visual edit
Retrieved from "https://itwiki.kr/w/Bias-Variance_Trade-Off"