Java weka.classifiers.evaluation ThresholdCurve fields, constructors, methods, implement or subclass

Example usage for Java weka.classifiers.evaluation ThresholdCurve fields, constructors, methods, implement or subclass

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In this page you can find the methods, fields and constructors for weka.classifiers.evaluation ThresholdCurve.

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String	FP_RATE_NAME attribute name: False Positive Rate"
String	TP_RATE_NAME attribute name: True Positive Rate
String	PRECISION_NAME attribute name: Precision
String	RECALL_NAME attribute name: Recall

	ThresholdCurve

Instances	getCurve(ArrayList predictions) Calculates the performance stats for the default class and return results as a set of Instances.
Instances	getCurve(ArrayList predictions, int classIndex) Calculates the performance stats for the desired class and return results as a set of Instances.
double	getNPointPrecision(Instances tcurve, int n) Calculates the n point precision result, which is the precision averaged over n evenly spaced (w.r.t recall) samples of the curve.
double	getPRCArea(Instances tcurve) Calculates the area under the precision-recall curve (AUPRC).
double	getROCArea(Instances tcurve) Calculates the area under the ROC curve as the Wilcoxon-Mann-Whitney statistic.
int	getThresholdInstance(Instances tcurve, double threshold) Gets the index of the instance with the closest threshold value to the desired target