Uses of Package
jsat.classifiers.evaluation

Packages that use jsat.classifiers.evaluation

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

Classes in jsat.classifiers.evaluation used by jsat.classifiers

Class and Description
ClassificationScore This interface defines the contract for evaluating or "scoring" the results on a classification problem.

Classes in jsat.classifiers.evaluation used by jsat.classifiers.evaluation

Class and Description
Accuracy Evaluates a classifier based on its accuracy in predicting the correct class.
AUC Computes the Area Under the ROC Curve as an evaluation of classification scores.
ClassificationScore This interface defines the contract for evaluating or "scoring" the results on a classification problem.
F1Score The F1 score is the harmonic mean of Precision and Recall.
FbetaScore The Fβ score is the generalization of F1Score, where β indicates the level of preference for precision over recall.
Kappa Evaluates a classifier based on the Kappa statistic.
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.
MatthewsCorrelationCoefficient Evaluates a classifier based on Mathews Correlation Coefficient
Precision Evaluates a classifier based on the Precision, where the class of index 0 is considered the positive class.
Recall Evaluates a classifier based on the Recall rate, where the class of index 0 is considered the positive 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.

Classes in jsat.classifiers.evaluation used by jsat.parameters

Class and Description
ClassificationScore This interface defines the contract for evaluating or "scoring" the results on a classification problem.