Feature: Update model for new features

Author: strangetom

README.md

@@ -48,13 +48,13 @@ The model has the following accuracy on a test data set of 20% of the total data
 
 ```
 Sentence-level results:
-	Accuracy: 94.65%
+	Accuracy: 94.70%
 
 Word-level results:
-	Accuracy 97.82%
-	Precision (micro) 97.80%
-	Recall (micro) 97.82%
-	F1 score (micro) 97.80%
+	Accuracy 97.91%
+	Precision (micro) 97.90%
+	Recall (micro) 97.91%
+	F1 score (micro) 97.90%
 ```
 
 ## Development

ingredient_parser/en/data/ModelCard.en.md

@@ -124,11 +124,11 @@ The model has the following performance metrics:
 
 | Word level accuracy | Sentence level accuracy |
 | ------------------- | ----------------------- |
-| 97.82 ± 0.18%       | 94.65 ± 0.44%           |
+| 97.90 ± 0.18%       | 94.70 ± 0.44%           |
 
 These metrics were determined by executing 20 training/evaluation cycles and calculating the mean and standard deviation for the two metrics across all cycles. The uncertainty values provided represent the 99.7% confidence bounds (i.e. 3x standard deviation). The uncertainty is due to the randomisation of the selection of training and evaluation data whenever the model is trained.
 
-The random seed used for the train/test split for this model was 598456308.
+The random seed used for the train/test split for this model was 170365540.
 
 ## Ethical Considerations
 

ingredient_parser/en/data/model.en.crfsuite

@@ -20,3 +20,4 @@ Release,Sentence,Word
 1.3.0,95.87,98.29
 2.0.0,94.72,97.82
 2.1.0,94.66,97.82
+develop,94.7,97.9