Merge pull request #161 from KOSASIH/deepsource-transform-1729feab

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transaction_management/model_evaluation.py

@@ -1,12 +1,17 @@
 import pandas as pd
 from sklearn.metrics import classification_report, confusion_matrix
 
+
 def evaluate_transaction_model_performance(model, X_test, y_test):
     """
     Evaluates the performance of the trained transaction machine learning model using various metrics.
     """
     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