diff --git a/src/bayesvalidrox/post_processing/post_processing.py b/src/bayesvalidrox/post_processing/post_processing.py
index 4d311fe4ed7aae35f600857b4d85a9e7e696a9f0..0873d3c07cf4e4348e93704b700d86cfee5ee459 100644
--- a/src/bayesvalidrox/post_processing/post_processing.py
+++ b/src/bayesvalidrox/post_processing/post_processing.py
@@ -5,12 +5,10 @@ Collection of postprocessing functions into a class.
 """
 
 import os
-import warnings
 from itertools import combinations, cycle
 import numpy as np
 import pandas as pd
 from scipy import stats
-from sklearn.linear_model import LinearRegression
 from sklearn.metrics import r2_score
 import matplotlib.pyplot as plt
 from matplotlib import ticker
@@ -19,14 +17,12 @@ from matplotlib.patches import Patch
 
 from bayesvalidrox.surrogate_models.supplementary import root_mean_squared_error
 
-# Load the mplstyle
 plt.style.use(os.path.join(os.path.split(__file__)[0], "../", "bayesvalidrox.mplstyle"))
 
 
 class PostProcessing:
     """
-    This class provides many helper functions to post-process the trained
-    meta-model.
+    This class provides post-processing functions for the trained metamodels.
 
     Parameters
     ----------