The higher the r2, the better the model explains and predicts the outcomes Integrating statistical rigor and clinical judgment helps derive meaningful insights from clinical data If r2 is 0%, it means the model doesn't explain anything, and if it's 100%, it means the model explains everything.
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It's tempting to ask, what's a good r 2 r2 value? unfortunately, there's no single answer
The definition of a good r 2 r2 depends heavily on the domain and the specific problem you're trying to solve
R2 values (e.g., > 0.95) The underlying relationships are often precise.
