Create evaluation/evaluation.py

evaluation/evaluation.py

@@ -0,0 +1,18 @@
+from sklearn.metrics import accuracy_score, classification_report
+
+def evaluate_model(model, X_test, y_test):
+    """
+    Evaluate the trained model on the test set.
+    
+    Args:
+        model: Trained model.
+        X_test (pd.DataFrame): Testing features.
+        y_test (pd.Series): Testing labels.
+        
+    Returns:
+        dict: Evaluation metrics.
+    """
+    y_pred = model.predict(X_test)
+    accuracy = accuracy_score(y_test, y_pred)
+    report = classification_report(y_test, y_pred)
+    return {"accuracy": accuracy, "classification_report": report}