public class Sensitivity extends java.lang.Object implements ClassificationMeasure
TPR = TP / P = TP / (TP + FN)
Sensitivity and specificity 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 all others are regarded as negative.
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Returns an index to measure the quality of classification.
public double measure(int truth, int prediction)
public java.lang.String toString()