Update README.md

README.md

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 [See a demo of a model trained on this dataset](https://huggingface.co/spaces/aivance/malphish-eater)
 
+**Important Notice:**
+- the data collection and analysis for `domain_registration_length` was incorrect
+- the algorithm to extract `external_favicons` was not robust enough
+- therefore, a v2 is coming for the demo
+
 The *features* dataset is original, and my feature extraction method is covered in [feature_extraction.py](./feature_extraction.py).
 To extract features from a website, simply passed the URL and label to `collect_data()`. The features are saved to `phishing_detection_dataset.csv` locally by default.