|  | ## X-Prediction

#### Synopsis

Predicts the examples in a cross-validation-like fashion.

#### Description

Operator chain that splits an ExampleSet into a training and test sets similar to XValidation, but returns the test set predictions instead of a performance vector. The inner two operators must be a learner returning a Model and an operator or operator chain that can apply this model (usually a model applier)

#### Input

- example set: expects: ExampleSet, expects: ExampleSet

#### Output

- labelled data:

#### Parameters

- leave one out: Set the number of validations to the number of examples. If set to true, number_of_validations is ignored.
- number of validations: Number of subsets for the crossvalidation.
- sampling type: Defines the sampling type of the cross validation.
- use local random seed: Indicates if a local random seed should be used.
- local random seed: Specifies the local random seed

#### ExampleProcess