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R-Squared

[ɑr skwɛrd]
Machine Learning
Last updated: December 9, 2024

Definition

A statistical measure indicating how well the regression predictions approximate the real data points, expressed as a percentage.

Detailed Explanation

R-squared, or the coefficient of determination, represents the proportion of variance in the dependent variable that's predictable from the independent variable(s). It ranges from 0 to 1, where 1 indicates that the regression line perfectly fits the data. Calculated as 1 - (residual sum of squares)/(total sum of squares).

Use Cases

Common in scientific research, economic modeling, and any regression analysis where explaining variance is important.

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