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A ML model giving a single false positive is generally uninteresting and meaningless in evaluating its overall performance. Also, note that the details clearly
by Berobero 6y ago
A ML model giving a single false positive is generally uninteresting and meaningless in evaluating its overall performance. Also, note that the details clearly state that, even for high bot scores, some non-trivial percentage of examples in their training data were still labeled as human.
As an aside, for those interested, the GitHub page for the tool's Python API (https://github.com/IUNetSci/botometer-python https://github.com/IUNetSci/botometer-python) lists relevant papers regarding the functioning/design of the tool.