Update README.md

README.md

@@ -26,10 +26,10 @@ SignalSeeker is a machine learning ensemble for predicting signal peptides in pr
 
 ## Model Performance
 
-- **Best Model**: Unknown
-- **Test AUC**: 0.000
-- **Training Data**: Unknown sequences
-- **Test Data**: Unknown sequences
+- **Best Model**: Logistic regression (L2)
+- **Test AUC**: 0.99433
+- **Training Data**: 5000 mixed seqeunces from UniProt verified eukaryotic proteins
+- **Test Data**: 1000 mixed seqeunces from UniProt verified eukaryotic proteins, isolated from training data
 
 ## Intended Use
 
@@ -99,7 +99,10 @@ The SignalSeeker ensemble consists of:
 
 | Model | CV AUC | Test AUC | Test Accuracy |
 |-------|--------|----------|---------------|
-| No results available | - | - | - |
+| Logistic regression (L2) | 0.99433 | 0.98432 | 0.92284 |
+| Random Forest (Regularised) | 0.98941 | 0.98869 | 0.96192 |
+| Extra Trees (Regularised) | 0.99032 | 0.99072 | 0.94899 |
+| SVM (Conservative) | 0.98711 | 0.98439 | 0.92284 |
 
 ## Limitations
 
@@ -120,17 +123,17 @@ The SignalSeeker ensemble consists of:
 If you use SignalSeeker in your research, please cite:
 
 ```bibtex
-@misc{signalseeker2024,
+@misc{signalseeker2025,
   title={SignalSeeker: Machine Learning Ensemble for Protein Signal Peptide Prediction},
-  author={Your Name},
-  year={2024},
-  url={https://huggingface.co/your-username/signalseeker}
+  author={Hugo Cooper},
+  year={2025},
+  url={https://huggingface.co/hcoops/signalseeker}
 }
 ```
 
 ## Contact
 
-For questions or issues, please open an issue on the [GitHub repository](https://github.com/your-username/signalseeker).
+For questions or issues, please open an issue on the [GitHub repository](https://github.com/hcoo25/signalseeker).
 
 ## License