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Last seen on: –LA Times Crossword, Sun, Jan 22, 2023 – “Play It Again”
Washington Post Crossword Sunday, January 22, 2023
LA Times Crossword 1 Jan 21, Friday
The Washington Post Crossword – Jan 1 2021
The Sun – Two Speed Crossword – Oct 15 2020
USA Today Crossword – Sep 28 2020
The Sun – Two Speed Crossword – Sep 24 2020
The Telegraph – QUICK CROSSWORD NO: 29,291 – Feb 20 2020 Crossword – Jul 2 2019

Random information on the term “Accurate”:

In statistics and machine learning, the bias–variance tradeoff is the property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa. The bias–variance dilemma or problem is the conflict in trying to simultaneously minimize these two sources of error that prevent supervised learning algorithms from generalizing beyond their training set:[citation needed]

The bias–variance decomposition is a way of analyzing a learning algorithm’s expected generalization error with respect to a particular problem as a sum of three terms, the bias, variance, and a quantity called the irreducible error, resulting from noise in the problem itself.

This tradeoff applies to all forms of supervised learning: classification, regression (function fitting), and structured output learning. It has also been invoked to explain the effectiveness of heuristics in human learning.

Accurate on Wikipedia