Uses of Package
de.lmu.ifi.dbs.elki.evaluation.classification.holdout

Packages that use de.lmu.ifi.dbs.elki.evaluation.classification.holdout

Package	Description
de.lmu.ifi.dbs.elki.application	Base classes for stand alone applications.
de.lmu.ifi.dbs.elki.evaluation.classification.holdout	Holdout and cross-validation strategies for evaluating classifiers.

Classes in de.lmu.ifi.dbs.elki.evaluation.classification.holdout used by de.lmu.ifi.dbs.elki.application

Class and Description
Holdout A holdout procedure is to provide a range of partitions of a database to pairs of training and test data sets.

Classes in de.lmu.ifi.dbs.elki.evaluation.classification.holdout used by de.lmu.ifi.dbs.elki.evaluation.classification.holdout

Class and Description
AbstractHoldout Split a data set for holdout evaluation.
DisjointCrossValidation DisjointCrossValidationHoldout provides a set of partitions of a database to perform cross-validation.
Holdout A holdout procedure is to provide a range of partitions of a database to pairs of training and test data sets.
RandomizedCrossValidation RandomizedCrossValidationHoldout provides a set of partitions of a database to perform cross-validation.
RandomizedHoldout A holdout providing a seed for randomized operations.
RandomizedHoldout.Parameterizer Parameterization class
StratifiedCrossValidation A stratified n-fold crossvalidation to distribute the data to n buckets where each bucket exhibits approximately the same distribution of classes as does the complete data set.
TrainingAndTestSet Wrapper to hold a pair of training and test data sets.