Rank Correlation Coefficient
A statistical measure of the agreement between the orderings of two variables, computed by converting values to ranks and then calculating the Pearson correlation. It ranges from -1 to 1 and is suited to settings where units are not directly comparable.
Timeline (last 90 days)
Validation against independent yield records shows that the rank correlation coefficient between the county-level loss rankings given by the WxCrop model and the true yield decline rankings is 0.63.
The rank correlation coefficient (usually referring to Spearman's rank correlation coefficient) measures the consistency between the rankings of two variables and ranges from -1 to 1.
The rank correlation coefficient (Spearman) is more robust to outliers and nonlinear relationships than the Pearson correlation coefficient, ranging from -1 to +1.
At the actual repetition levels of ordinary text, five models ranging from 1B to 13B parameters carry only a faint trace of what they have seen, with a rank correlation coefficient of approximately -0.08.
All Facts (4)
Validation against independent yield records shows that the rank correlation coefficient between the county-level loss rankings given by the WxCrop model and the true yield decline rankings is 0.63.
50%UnverifiedThe rank correlation coefficient (usually referring to Spearman's rank correlation coefficient) measures the consistency between the rankings of two variables and ranges from -1 to 1.
50%UnverifiedThe rank correlation coefficient (Spearman) is more robust to outliers and nonlinear relationships than the Pearson correlation coefficient, ranging from -1 to +1.
50%UnverifiedAt the actual repetition levels of ordinary text, five models ranging from 1B to 13B parameters carry only a faint trace of what they have seen, with a rank correlation coefficient of approximately -0.08.
50%