Update README.md

README.md

@@ -170,7 +170,7 @@ A comprehensive set of metrics employed to evaluate the model's performance:
 1. **Accuracy (ACC)**
 2. **Recall**
 3. **Precision**
-4. **F1-score**
+4. **F1**
 5. **Area Under the Receiver Operating Characteristic curve (AUROC)**
 
 All metrics were evaluated using a threshold of 0.50 for binary classification.
@@ -208,7 +208,7 @@ which was trained/fine-tuned to predict based on SMILES - while ChemFIE-SA is SE
 
 Comparison with DeepSA_SmELECTRA as described in Wang et al. (2023):
 
-| Datasets | Model      |  ACC  | Recall | Precision | F-score | AUROC | Threshold |
+| Datasets | Model      |  ACC  | Recall | Precision |    F1   | AUROC | Threshold |
 | -------- | ---------- | :---: | :----: | :-------: | :-----: | :---: | :-------: |
 | TS1      | DeepSA     | 0.995 | 1.000  |   0.990   |  0.995  | 1.000 |   0.500   |
 |          | ChemFIE-SA | 0.996 | 1.000  |   0.992   |  0.996  | 1.000 |   0.500   |