Update hierarchical precision calculation in README.md

README.md

@@ -34,7 +34,8 @@ The measure accounts for the hierarchical structure of the ISCO-08 classificatio
 
 The features described are accomplished by pairing hierarchical variants of precision ($hP$) and recall ($hR$) to form a hierarchical F1 ($hF_β$) score where each sample belongs not only to its class (e.g., a unit group level code), but also to all ancestors of the class in a hierarchical graph (i.e., the minor, sub-major, and major group level codes).
 
-Hierarchical precision can be computed with $hP=\frac{| \v{C}_i ∩ \v{C}^′_i|} {|\v{C}^′_i|}=\frac{1}{2}$
+Hierarchical precision can be computed with:
+`$hP=\frac{| \v{C}_i ∩ \v{C}^′_i|} {|\v{C}^′_i|}=\frac{1}{2}$`
 
 Hierarchical recall can be computed with:
 `$hR = \frac{| \v{C}_i ∩ \v{C}^′_i|}  {|\v{C}_i |} = \frac{1}{2}$`