Interesting idea for anomaly detection with multi-dimensional data: http://cs.nju.edu.cn/zhouzh/zhouzh.files/publication/icdm08b.pdf?q=isolation …
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It seems like a similar average-terminal-depth metric could be an interesting feature importance metric for standard random forests.
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@avibryant wonder if a metric of connection density might do the same for neural nets
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