Uses of Interface
jsat.classifiers.evaluation.ClassificationScore

Packages that use ClassificationScore

Package	Description
jsat.classifiers
jsat.classifiers.evaluation
jsat.parameters

Uses of ClassificationScore in jsat.classifiers

Methods in jsat.classifiers with parameters of type ClassificationScore

Modifier and Type	Method and Description
void	ClassificationModelEvaluation.addScorer(ClassificationScore scorer) Adds a new score object that will be used as part of the evaluation when calling ClassificationModelEvaluation.evaluateCrossValidation(int, java.util.Random) or ClassificationModelEvaluation.evaluateTestSet(jsat.classifiers.ClassificationDataSet).
OnLineStatistics	ClassificationModelEvaluation.getScoreStats(ClassificationScore score) Gets the statistics associated with the given score.

Uses of ClassificationScore in jsat.classifiers.evaluation

Classes in jsat.classifiers.evaluation that implement ClassificationScore

Modifier and Type	Class and Description
class	Accuracy Evaluates a classifier based on its accuracy in predicting the correct class.
class	AUC Computes the Area Under the ROC Curve as an evaluation of classification scores.
class	F1Score The F1 score is the harmonic mean of Precision and Recall.
class	FbetaScore The Fβ score is the generalization of F1Score, where β indicates the level of preference for precision over recall.
class	Kappa Evaluates a classifier based on the Kappa statistic.
class	LogLoss This computes the multi-class Log Loss - 1/N Σ∀ i ∈ N log(pi, y) Where N is the number of data points and pi, y is the estimated probability of the true class label.
class	MatthewsCorrelationCoefficient Evaluates a classifier based on Mathews Correlation Coefficient
class	Precision Evaluates a classifier based on the Precision, where the class of index 0 is considered the positive class.
class	Recall Evaluates a classifier based on the Recall rate, where the class of index 0 is considered the positive class.
class	SimpleBinaryClassMetric This is a base class for scores that can be computed from simple counts of the true positives, true negatives, false positives, and false negatives.

Methods in jsat.classifiers.evaluation that return ClassificationScore

Modifier and Type	Method and Description
ClassificationScore	ClassificationScore.clone()

Methods in jsat.classifiers.evaluation with parameters of type ClassificationScore

Modifier and Type	Method and Description
void	SimpleBinaryClassMetric.addResults(ClassificationScore other)
void	LogLoss.addResults(ClassificationScore other)
void	Kappa.addResults(ClassificationScore other)
void	ClassificationScore.addResults(ClassificationScore other) The score contained in this object is augmented with the results already accumulated in the other object.
void	AUC.addResults(ClassificationScore other)
void	Accuracy.addResults(ClassificationScore other)

Uses of ClassificationScore in jsat.parameters

Fields in jsat.parameters declared as ClassificationScore

Modifier and Type	Field and Description
protected ClassificationScore	ModelSearch.classificationTargetScore

Methods in jsat.parameters that return ClassificationScore

Modifier and Type	Method and Description
ClassificationScore	ModelSearch.getClassificationTargetScore() Returns the classification score that is trying to be optimized via grid search

Methods in jsat.parameters with parameters of type ClassificationScore

Modifier and Type	Method and Description
void	ModelSearch.setClassificationTargetScore(ClassificationScore classifierTargetScore) Sets the score to attempt to optimize when performing grid search on a classification problem.