One of the two metrics the model is optimized over, the lower the value, the better the performance. Looks at the whole training dataset
Others
Notes
A value between 0 and 1. The loss function is a weighted average between the False Positive Rate and the False Negative Rate, where a Heightened risk alert puts a heavier weight on minimizing the False Negative Rate and a Critical risk alert puts a heavier weight on minimizing the False Positive Rate.
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