diff --git a/Code/Day 13_SVM.py b/Code/Day 13_SVM.py
index df9eeda..d65ca85 100644
--- a/Code/Day 13_SVM.py	
+++ b/Code/Day 13_SVM.py	
@@ -18,7 +18,7 @@ X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, rand
 from sklearn.preprocessing import StandardScaler
 sc = StandardScaler()
 X_train = sc.fit_transform(X_train)
-X_test = sc.fit_transform(X_test)
+X_test = sc.transform(X_test)
 
 #Fitting SVM to the Training set
 from sklearn.svm import SVC
@@ -30,7 +30,10 @@ y_pred = classifier.predict(X_test)
 
 #Making the Confusion Matrix
 from sklearn.metrics import confusion_matrix
+from sklearn.metrics import classification_report
 cm = confusion_matrix(y_test, y_pred)
+print(cm)
+print(classification_report(y_test, y_pred))
 
 #Visualising the Training set results
 from matplotlib.colors import ListedColormap