make desc more user friendly

fixed_precision.py

@@ -9,6 +9,8 @@ This class allows one to circumvent the current issue of `combine`-ing the preci
 \n
 In general, the precision is the ratio tp / (tp + fp) where tp is the number of true positives and fp the number of false positives. 
 The precision is intuitively the ability of the classifier not to label as positive a sample that is negative.
+
+Play around with the interface below to see how the precision score changes based on predictions, references, and method of averaging!
 """
 
 _CITATION = """