Unverified50% confidenceFactExact time
The R² coefficient of determination ranges between 0 and 1, calculated by the formula R² = 1 - RSS/TSS, and represents the proportion of the total variance in the dependent variable explained by the model.
1
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50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
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Related Claims
UnverifiedR² (coefficient of determination) measures how well a trend line explains the actual data, with values ranging from 0 to 1; a value close to 1 indicates that a physician's prescribing behavior develops steadily along the trend.76% similarUnverifiedThe least squares method solves for regression coefficients by minimizing the residual sum of squares (RSS), where residuals refer to the difference between actual values and predicted values66% similarUnverifiedResidual Standard Error (RSE) measures the average prediction deviation of the model, expressed in the same units as Y, and a smaller RSE indicates a better fit.63% similarUnverifiedFocal Loss adds a modulating factor (1-p_t)^γ before the standard cross-entropy loss, with γ typically set to 2, causing the model to focus on hard examples.62% similarUnverifiedIn hypothesis testing, the null hypothesis H0 is set as β1=0, calculated through the t-statistic t = β1/SE(β1), and the p-value is then derived from the t-distribution.61% similar
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