diff --git a/introduction.typ b/introduction.typ
index b0bd44a..498a8fd 100644
--- a/introduction.typ
+++ b/introduction.typ
@@ -25,7 +25,7 @@ How does it compare to well established algorithms such as Patchcore or Efficien
 === How does disbalancing the Shot number affect performance?
 _Does giving the Few-Shot learner more good than bad samples improve the model performance?_
 
-=== How do the 3 (ResNet, CAML, \pmf) methods perform in only detecting the anomaly class?
+=== How do the 3 (ResNet, CAML, P>M>F) methods perform in only detecting the anomaly class?
 _How much does the performance improve by only detecting the presence of an anomaly?
 How does it compare to PatchCore and EfficientAD?_