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Update README.md

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  Please Note: If an account is blocked by Pinpoint, that is not to say that the author(s) of this tooling deem such a user to be violent or extremist, instead it is simply a result of the training the machine learning model has undergone and a result of the analysis on the last 10 tweets of the user in question. WatchTower is undergoing tuning to ensure it provides a fair and an as un-bias as possible assessment of Tweets, feedback is always welcome.
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  ## Model Statistics
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- Pinpoint has several configurations, the configuration used by WatchTower has the following stats: 0.827 (accuracy), 0.676 (recall), 0.739 (precision), 0.706 (f-measure).
 
 
 
 
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  Please Note: If an account is blocked by Pinpoint, that is not to say that the author(s) of this tooling deem such a user to be violent or extremist, instead it is simply a result of the training the machine learning model has undergone and a result of the analysis on the last 10 tweets of the user in question. WatchTower is undergoing tuning to ensure it provides a fair and an as un-bias as possible assessment of Tweets, feedback is always welcome.
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  ## Model Statistics
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+ Pinpoint has several configurations, the configuration used by WatchTower has the following stats: 0.827 (accuracy), 0.676 (recall), 0.739 (precision), 0.706 (f-measure).
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+ ## Constraints
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+ The Twitter APIv2 rate limits blocking requests to a 'User rate limit (User context): 15 requests per 15-minute window per each authenticated user'. This will pose issues to WatchTower when blocking larger numbers of users and will cause the tooling to hang or crash completely. A fix would be to change hosting and have a running service in the background that performs the blocking tasks adhering to the rate limiting.