diff --git a/ai/risk_assessment/model_evaluation.py b/ai/risk_assessment/model_evaluation.py
index ef356aade..3005f223a 100644
--- a/ai/risk_assessment/model_evaluation.py
+++ b/ai/risk_assessment/model_evaluation.py
@@ -1,6 +1,7 @@
 import pandas as pd
 from sklearn.metrics import classification_report, confusion_matrix
 
+
 def evaluate_model_performance(model, X_test, y_test):
     """
     Evaluates the performance of the trained model using various metrics.
@@ -8,5 +9,9 @@ def evaluate_model_performance(model, X_test, y_test):
     y_pred = model.predict(X_test)
     report = classification_report(y_test, y_pred)
     matrix = confusion_matrix(y_test, y_pred)
-    df = pd.DataFrame(matrix, columns=['Predicted No', 'Predicted Yes'], index=['Actual No', 'Actual Yes'])
+    df = pd.DataFrame(
+        matrix,
+        columns=["Predicted No", "Predicted Yes"],
+        index=["Actual No", "Actual Yes"],
+    )
     return report, df