Uses of Class
es.upm.etsisi.cf4j.qualityMeasure.QualityMeasure

Packages that use QualityMeasure

Package	Description
es.upm.etsisi.cf4j.qualityMeasure.prediction	Contains the implementation of different quality measures oriented to predictions.
es.upm.etsisi.cf4j.qualityMeasure.recommendation	Contains the implementation of different quality measures oriented to recommendations.

Uses of QualityMeasure in es.upm.etsisi.cf4j.qualityMeasure.prediction

Subclasses of QualityMeasure in es.upm.etsisi.cf4j.qualityMeasure.prediction

Modifier and Type	Class	Description
class	Coverage	This class calculates the Coverage of the recommender system.
class	MAE	This class calculates the Mean Absolute Error (MAE) between the predictions and the test ratings.
class	Max	This class calculates the averaged maximum prediction absolute error in a the prediction of a test rating for each test user.
class	MSE	This class calculates the Mean Squared Error (MSE) between the predictions and the test ratings.
class	MSLE	This class calculates the Mean Squared Logarithmic Error (MSLE) between the predictions and the test ratings.
class	Perfect	This class calculates the percentage of perfect predictions.
class	R2	This class calculates the the coefficient of determination, usually denoted as R2, of the predictions performed by a recommender.
class	RMSE	This class calculates the Root Mean Squared Error (RMSE) between the predictions and the test ratings.

Uses of QualityMeasure in es.upm.etsisi.cf4j.qualityMeasure.recommendation

Subclasses of QualityMeasure in es.upm.etsisi.cf4j.qualityMeasure.recommendation

Modifier and Type	Class	Description
class	Discovery	This class the averaged novelty of the recomendations.
class	Diversity	This class the averaged diversity of the recomendations.
class	F1	This class calculates the F1 score of the recommender system.
class	NDCG	This class calculates the Normalized Discounted Cumulative Gain (nDCG) of the recommendations performed by a Recommender.
class	Novelty	This class the averaged novelty of the recomendations.
class	Precision	This class calculates the precision of the recommendations performed by a Recommender.
class	Recall	This class calculates the recall of the recommendations performed by a Recommender.