R-squared › Summary
Michael BrenndoerferApril 4, 20251 min read
Machine Learning from ScratchAll chapters Part 3 of 9Foundations
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In summary, R-squared measures how well a regression model explains the variability of the dependent variable. It ranges from 0 to 1, with higher values indicating a better fit. However, R-squared alone does not guarantee that the model is appropriate or meaningful, so it should be interpreted in context and used alongside other evaluation metrics.