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add more description

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  **I have decided to release the auto-moderation models all at once sometime in July/August, 2023. The datasets for training these models will be avaliable first.**
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- 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()`.
 
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  In the *features* dataset, there're 911,180 websites online at the time of data collection. The plots below show the regression line and correlation coefficients of 22+ features extracted and whether the URL is malicious.
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  If we could plot the lifespan of URLs, we could see that the oldest website has been online since Nov 7th, 2008, while the most recent phishing websites appeared as late as July 10th, 2023.
 
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  **I have decided to release the auto-moderation models all at once sometime in July/August, 2023. The datasets for training these models will be avaliable first.**
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+ The *features* dataset is original, and my feature extraction method is covered in [feature_extraction.py](./feature_extraction.py).
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+ 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.
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  In the *features* dataset, there're 911,180 websites online at the time of data collection. The plots below show the regression line and correlation coefficients of 22+ features extracted and whether the URL is malicious.
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  If we could plot the lifespan of URLs, we could see that the oldest website has been online since Nov 7th, 2008, while the most recent phishing websites appeared as late as July 10th, 2023.