Update README.MD result table

README.md

@@ -14,17 +14,12 @@ A small dataset of **604** emails was annotated manually (**234** important emai
 Remember that this AI approach are not based on Machine Learning but only on generic rules to compute a priority for an email.
 
 **The next table resume the obtained results:**
-|Email Category	|Precision	|Recall	|Fmeasure	|
-|--	|--	|--	|--	|
-|Important	|81.90%	|73.50%	|77.47%	|
-|To_Read	|25.39%	|65.30%	|36.57%	|
-|Notification	|99.62%	|83.17%	|90.66%	|
 
-
-| header 1 | header 2 |
-| -------- | -------- |
-| cell 1   | cell 2   |
-| cell 3   | cell 4   |
+| Email category | Precision | Recall | Fmeasure |
+| -------- | -------- | -------- | -------- |
+| Important   | 81.90%   | 73.50%   | 77.47%   |
+| To_Read   | 25.39%   | 65.30%   | 36.57%   |
+| Notification   | 99.62%   | 83.17%   | 90.66%   |
   
 
 # Running the service with Docker