Package | Description |
---|---|
com.google.api.services.bigquery.model |
Modifier and Type | Method and Description |
---|---|
BinaryConfusionMatrix |
BinaryConfusionMatrix.clone() |
BinaryConfusionMatrix |
BinaryConfusionMatrix.set(String fieldName,
Object value) |
BinaryConfusionMatrix |
BinaryConfusionMatrix.setAccuracy(Double accuracy)
The fraction of predictions given the correct label.
|
BinaryConfusionMatrix |
BinaryConfusionMatrix.setF1Score(Double f1Score)
The equally weighted average of recall and precision.
|
BinaryConfusionMatrix |
BinaryConfusionMatrix.setFalseNegatives(Long falseNegatives)
Number of false samples predicted as false.
|
BinaryConfusionMatrix |
BinaryConfusionMatrix.setFalsePositives(Long falsePositives)
Number of false samples predicted as true.
|
BinaryConfusionMatrix |
BinaryConfusionMatrix.setPositiveClassThreshold(Double positiveClassThreshold)
Threshold value used when computing each of the following metric.
|
BinaryConfusionMatrix |
BinaryConfusionMatrix.setPrecision(Double precision)
The fraction of actual positive predictions that had positive actual labels.
|
BinaryConfusionMatrix |
BinaryConfusionMatrix.setRecall(Double recall)
The fraction of actual positive labels that were given a positive prediction.
|
BinaryConfusionMatrix |
BinaryConfusionMatrix.setTrueNegatives(Long trueNegatives)
Number of true samples predicted as false.
|
BinaryConfusionMatrix |
BinaryConfusionMatrix.setTruePositives(Long truePositives)
Number of true samples predicted as true.
|
Modifier and Type | Method and Description |
---|---|
List<BinaryConfusionMatrix> |
BinaryClassificationMetrics.getBinaryConfusionMatrixList()
Binary confusion matrix at multiple thresholds.
|
Modifier and Type | Method and Description |
---|---|
BinaryClassificationMetrics |
BinaryClassificationMetrics.setBinaryConfusionMatrixList(List<BinaryConfusionMatrix> binaryConfusionMatrixList)
Binary confusion matrix at multiple thresholds.
|
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