Class Recall
java.lang.Object
smile.deep.metric.Recall
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Metric
Recall or true positive rate (TPR) (also called hit rate, sensitivity) is
a statistical measures of the performance of a binary classification test.
Recall is the proportion of actual positives which are correctly identified
as such.
TPR = TP / P = TP / (TP + FN)
Recall and precision are closely related to the concepts of type I and
type II errors. For any test, there is usually a trade-off between the
measures. This trade-off can be represented graphically using an ROC curve.
In this implementation, the class label 1 is regarded as positive and 0 is regarded as negative.
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptiondoublecompute()Computes the metric value from the metric state, which are updated by previous update() calls.name()Returns the name of metric.voidreset()Resets the metric state variables to their default value.toString()voidUpdates the metric states with input data.
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Constructor Details
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Recall
public Recall()Constructor. -
Recall
public Recall(double threshold) Constructor.- Parameters:
threshold- The threshold for converting input into binary labels.
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Recall
Constructor.- Parameters:
strategy- The aggregating strategy for multi-classes.
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Method Details
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toString
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name
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update
Description copied from interface:MetricUpdates the metric states with input data. This is often used when new data needs to be added for metric computation. -
compute
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reset
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