final class MicroAUC extends GeneratedMessageV3 with MicroAUCOrBuilder
Area under ROC-curve calculated globally for MultiClassClassification (model
predicts a single label) or MultiLabelClassification (model predicts class
probabilities). The area is calculated by treating the entire set of data as
an aggregate result, and computing a single metric rather than k metrics
(one for each target label) that get averaged together. For example, the FPR
and TPR at a given point on the AUC curve for k targer labels are:
FPR = (FP1 + FP2 + ... + FPk) / ((FP1 + FP2 + ... + FPk) +
(TN1 + TN2 + ... + TNk))
TPR = (TP1 + TP2 + ... +TPk) / ((TP1 + TP2 + ... + TPk) +
(FN1 + FN2 + ... + FNk))
Protobuf type tensorflow.metadata.v0.MicroAUC
- Source
- MicroAUC.java
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