diff --git a/causaltune/erupt.py b/causaltune/erupt.py
index a1c57c50..2dff7c17 100644
--- a/causaltune/erupt.py
+++ b/causaltune/erupt.py
@@ -202,7 +202,7 @@ def probabilistic_erupt_score(
         print(
             f"\nDebugging Probabilistic ERUPT for estimator: {est.__class__.__name__}"
         )
-        print(f"CATE estimate summary:")
+        print("CATE estimate summary:")
         print(f"Mean: {np.mean(cate_estimate):.4f}")
         print(f"Std: {np.std(cate_estimate):.4f}")
         print(f"Min: {np.min(cate_estimate):.4f}")
@@ -257,7 +257,7 @@ def probabilistic_erupt_score(
                 )
                 effect_stds = np.broadcast_to(effect_stds, cate_estimate.shape)
 
-            print(f"\nStandard errors summary:")
+            print("\nStandard errors summary:")
             print(f"Mean: {np.mean(effect_stds):.4f}")
             print(f"Std: {np.std(effect_stds):.4f}")
             print(f"Min: {np.min(effect_stds):.4f}")
diff --git a/notebooks/RunExperiments/experiment_runner.py b/notebooks/RunExperiments/experiment_runner.py
index a81eeac9..49a33c3f 100644
--- a/notebooks/RunExperiments/experiment_runner.py
+++ b/notebooks/RunExperiments/experiment_runner.py
@@ -1,29 +1,24 @@
 import os
 import sys
+
+# Ensure CausalTune is in the Python path
+root_path = os.path.realpath("../../../..")
+sys.path.append(os.path.join(root_path, "causaltune"))
+
 import pickle
 import numpy as np
-import pandas as pd
 import matplotlib
 import matplotlib.pyplot as plt
 import copy
 import argparse
-from typing import Union
 from sklearn.model_selection import train_test_split
 from datetime import datetime
-import colorsys
 import warnings
 
 warnings.filterwarnings("ignore")
 
-# Ensure CausalTune is in the Python path
-root_path = os.path.realpath("../../../..")
-sys.path.append(os.path.join(root_path, "causaltune"))
-
 from causaltune import CausalTune
-from causaltune.data_utils import CausalityDataset
 from causaltune.datasets import (
-    generate_synthetic_data,
-    generate_linear_synthetic_data,
     load_dataset,
 )
 from causaltune.models.passthrough import passthrough_model
@@ -296,10 +291,10 @@ def plot_grid(title):
         plt.suptitle(f"Estimated CATEs vs. True CATEs: {title}", fontsize=16)
         plt.tight_layout(rect=[0, 0, 1, 0.96])
         plt.savefig(
-            os.path.join(out_dir, f"CATE_grid.pdf"), format="pdf", bbox_inches="tight"
+            os.path.join(out_dir, "CATE_grid.pdf"), format="pdf", bbox_inches="tight"
         )
         plt.savefig(
-            os.path.join(out_dir, f"CATE_grid.png"), format="png", bbox_inches="tight"
+            os.path.join(out_dir, "CATE_grid.png"), format="png", bbox_inches="tight"
         )
         plt.close()
 
@@ -376,10 +371,10 @@ def plot_mse_grid(title):
         plt.suptitle(f"MSE vs. Scores: {title}", fontsize=16)
         plt.tight_layout(rect=[0, 0, 1, 0.96])
         plt.savefig(
-            os.path.join(out_dir, f"MSE_grid.pdf"), format="pdf", bbox_inches="tight"
+            os.path.join(out_dir, "MSE_grid.pdf"), format="pdf", bbox_inches="tight"
         )
         plt.savefig(
-            os.path.join(out_dir, f"MSE_grid.png"), format="png", bbox_inches="tight"
+            os.path.join(out_dir, "MSE_grid.png"), format="png", bbox_inches="tight"
         )
         plt.close()
 
@@ -388,10 +383,10 @@ def plot_mse_grid(title):
         ax_legend.legend(handles=legend_elements, loc="center", fontsize=10)
         ax_legend.axis("off")
         plt.savefig(
-            os.path.join(out_dir, f"MSE_legend.pdf"), format="pdf", bbox_inches="tight"
+            os.path.join(out_dir, "MSE_legend.pdf"), format="pdf", bbox_inches="tight"
         )
         plt.savefig(
-            os.path.join(out_dir, f"MSE_legend.png"), format="png", bbox_inches="tight"
+            os.path.join(out_dir, "MSE_legend.png"), format="png", bbox_inches="tight"
         )
         plt.close()