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

Holdout and cross-validation strategies for evaluating classifiers.

See: Description

Interface Summary

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

Class Summary

Class	Description
AbstractHoldout	Split a data set for holdout evaluation.
DisjointCrossValidation	DisjointCrossValidationHoldout provides a set of partitions of a database to perform cross-validation.
DisjointCrossValidation.Parameterizer	Parameterization class
LeaveOneOut	A leave-one-out-holdout is to provide a set of partitions of a database where each instances once hold out as a test instance while the respectively remaining instances are training instances.
RandomizedCrossValidation	RandomizedCrossValidationHoldout provides a set of partitions of a database to perform cross-validation.
RandomizedCrossValidation.Parameterizer	Parameterization class
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.
StratifiedCrossValidation.Parameterizer	Parameterization class
TrainingAndTestSet	Wrapper to hold a pair of training and test data sets.

Package de.lmu.ifi.dbs.elki.evaluation.classification.holdout Description

Holdout and cross-validation strategies for evaluating classifiers.