diff --git a/src/experiments/knn/knn.py b/src/experiments/knn/knn.py
index c5d4617..d06d20d 100644
--- a/src/experiments/knn/knn.py
+++ b/src/experiments/knn/knn.py
@@ -6,7 +6,7 @@ import csv
 from sklearn.preprocessing import MinMaxScaler
 from enum import Enum
 import random
-from sklearn.metrics import confusion_matrix
+from sklearn.metrics import confusion_matrix, accuracy_score, precision_score, recall_score
 
 class Tree(Enum):
     ACCASIA = 0
@@ -102,4 +102,11 @@ for validateId in range(0, tags_len - 1):
 # Create a heatmap
 sns.heatmap(confusion_matrix(tag_true, tag_predict), annot=True)
 plt.title( "Confusion Matrix KNN" )
-plt.show()
\ No newline at end of file
+plt.show()
+
+# Score
+print("Accuracy score", accuracy_score(tag_true, tag_predict))
+print("Precision score (macro)", precision_score(tag_true, tag_predict, average='macro'))
+print("Precision score (micro)", precision_score(tag_true, tag_predict, average='micro'))
+print("Recall score (macro)", recall_score(tag_true, tag_predict, average='macro'))
+print("Recall score (micro)", recall_score(tag_true, tag_predict, average='micro'))
\ No newline at end of file