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Coefficient of discrimination metric.

Inherits From: Metric

The coefficient of discrimination measures the differences between the average prediction for the positive examples and the average prediction for the negative examples.

The formula is: AVG(pred | label = 1) - AVG(pred | label = 0) More details can be found in the following paper:

name Metric name.

compute_confidence_interval Whether to compute confidence intervals for this metric.

Note that this may not completely remove the computational overhead involved in computing a given metric. This is only respected by the jackknife confidence interval method.



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Creates computations associated with metric.


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Returns serializable config.


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Returns true if the metric does not depend on a model.