diff --git a/Initial_Condition.py b/Initial_Condition.py
index 4c66fb05f0854ad0b1b02271da27e9cb499ae72a..005c44a8563c6e1017224a61c57095737a553d02 100644
--- a/Initial_Condition.py
+++ b/Initial_Condition.py
@@ -409,7 +409,7 @@ class Linear(InitialCondition):
         return self._factor * x
 
 
-class LinearAbsolut(InitialCondition):
+class LinearAbsolute(InitialCondition):
     """Class for the absolute values of the linear function.
 
     Attributes
diff --git a/config.yaml b/config.yaml
index ea4e95d8647a575973e24d903d5ea2952be57999..31e64a8ce82a63649af32ff32ab84b830b05f885 100644
--- a/config.yaml
+++ b/config.yaml
@@ -1,9 +1,9 @@
-data_dir: 'model-Jun03'
+data_dir: 'model-Sep23'
 random_seed: 1234
 
 # Parameter for Approximation with Troubled Cell Detection
 Approximation:
-  plot_dir: 'fig-Jun03'
+  plot_dir: 'fig-Sep23'
 
   schemes:
     Separation_Test:
@@ -41,6 +41,11 @@ Approximation:
       update_scheme: 'SSPRK3'
     Test_Run:
       detector: 'Theoretical'
+    Boxplot_Test_3:
+      detector: 'Boxplot'
+      detector_config:
+          fold_len: 16
+      init_cond: 'FourPeakWave'
 
 # Parameter for Training Data Generation
 ANN_Data:
@@ -61,7 +66,7 @@ ANN_Data:
     Linear:
     Polynomial:
     Continuous:
-    LinearAbsolut:
+    LinearAbsolute:
     HeavisideOneSided:
     HeavisideTwoSided:
       adjustment: 0