Update Space (evaluate main: 05209ece)

README.md

@@ -10,6 +10,17 @@ pinned: false
 tags:
 - evaluate
 - metric
+description: >-
+  Compute the Matthews correlation coefficient (MCC)
+  
+  The Matthews correlation coefficient is used in machine learning as a
+  measure of the quality of binary and multiclass classifications. It takes
+  into account true and false positives and negatives and is generally
+  regarded as a balanced measure which can be used even if the classes are of
+  very different sizes. The MCC is in essence a correlation coefficient value
+  between -1 and +1. A coefficient of +1 represents a perfect prediction, 0
+  an average random prediction and -1 an inverse prediction.  The statistic
+  is also known as the phi coefficient. [source: Wikipedia]
 ---
 
 # Metric Card for Matthews Correlation Coefficient