diff --git a/examples/classification_example.ipynb b/examples/classification_example.ipynb
index 55a398c..83b7aa9 100644
--- a/examples/classification_example.ipynb
+++ b/examples/classification_example.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -293,7 +293,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.11"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/src/featureranker/rankers.py b/src/featureranker/rankers.py
index 9b7c1ce..fd78f85 100644
--- a/src/featureranker/rankers.py
+++ b/src/featureranker/rankers.py
@@ -15,7 +15,7 @@
 from sklearn.svm import l1_min_c
 from xgboost import XGBClassifier, XGBRegressor
 
-from .utils import (
+from featureranker.utils import (
     classification_hyper_param_search,
     regression_hyper_param_search,
 )
diff --git a/src/featureranker/utils.py b/src/featureranker/utils.py
index 5b3fb9c..511a299 100644
--- a/src/featureranker/utils.py
+++ b/src/featureranker/utils.py
@@ -10,7 +10,7 @@
 from scipy.stats import spearmanr
 from skopt import BayesSearchCV
 
-from .plots import plot_confusion_matrix, plot_correlations
+from featureranker.plots import plot_confusion_matrix, plot_correlations
 
 
 model_params = {