diff --git a/README.md b/README.md
index 8c4abef..65678bc 100644
--- a/README.md
+++ b/README.md
@@ -65,4 +65,20 @@ outputs = predict(path, sampling_rate)
  {'Emotion': 'fear', 'Score': '0.4%'},
  {'Emotion': 'happiness', 'Score': '0.7%'},
  {'Emotion': 'sadness', 'Score': '0.5%'}]
- ~~~
\ No newline at end of file
+ ~~~
+ 
+ ## Evaluation
+The following tables summarize the scores obtained by model overall and per each class.
+
+
+| Emotions  | precision | recall | f1-score | accuracy |
+|-----------|-----------|--------|----------|----------|
+| anger     | 0.82      | 1.00   | 0.81     |          |
+| disgust   | 0.85      | 0.96   | 0.85     |          |
+| fear      | 0.78      | 0.88   | 0.80     |          |
+| happiness | 0.84      | 0.71   | 0.78     |          |
+| sadness   | 0.86      | 1.00   | 0.79     |          |
+|           |           |        | Overall  | 0.806    |
+
+
+## 
\ No newline at end of file