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An anomaly detection method can enjoy some properties. The idea presented here is to apply an algorithm for anomaly detection to a dataset, to remove the discovered anomalous points, and then to...
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If I have k different training sets, I also have k different models with k different metrics (k AUCs, k True Positive Rates, etc). For metrics I consider the averages of k values, but which model...
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