Help protect the Great Barrier Reef with TensorFlow on Kaggle

# tfma.metrics.RelativeCoefficientOfDiscrimination

Relative coefficient of discrimination metric.

Inherits From: Metric

The relative coefficient of discrimination measures the ratio between the average prediction for the positive examples and the average prediction for the negative examples. This has a very simple intuitive explanation, measuring how much higher is the prediction going to be for a positive example than for a negative example.

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.

## Methods

### computations

View source

Creates computations associated with metric.

### get_config

View source

Returns serializable config.

[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]