Update Space (evaluate main: 05209ece)

README.md

@@ -10,6 +10,10 @@ pinned: false
 tags:
 - evaluate
 - metric
+description: >-
+  Pearson correlation coefficient and p-value for testing non-correlation.
+  The Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value relies on the assumption that each dataset is normally distributed. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. Correlations of -1 or +1 imply an exact linear relationship. Positive correlations imply that as x increases, so does y. Negative correlations imply that as x increases, y decreases.
+  The p-value roughly indicates the probability of an uncorrelated system producing datasets that have a Pearson correlation at least as extreme as the one computed from these datasets.
 ---
 
 # Metric Card for Pearson Correlation Coefficient (pearsonr)