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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_Performance_BootstrapResult_3.htm below:

Bootstrap validation analysis results.

Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

[SerializableAttribute]
public class BootstrapResult<TModel, TInput, TOutput> : CrossValidationResult<TModel, TInput, TOutput>
where TModel : class, Object, ITransform<TInput, TOutput>

<SerializableAttribute>
Public Class BootstrapResult(Of TModel As {Class, Object, ITransform(Of TInput, TOutput)}, TInput, TOutput)
	Inherits CrossValidationResult(Of TModel, TInput, TOutput)

TModel

TInput

TOutput

The BootstrapResultTModel, TInput, TOutput type exposes the following members.

Gets the average number of data samples in each cross-validation fold of the data set.

Gets or sets the method used to combine the scores of different classifiers.

Gets the 0.632 bootstrap estimate.

Gets the models created for each fold of the cross validation.

Gets the number of inputs accepted by the model.

Gets the number of outputs generated by the model.

Gets the total number of data samples in the entire data set.

Gets the number of subsamples taken to compute the bootstrap estimate.

Gets or sets a tag for user-defined information.

Gets or sets the training split.

Gets or sets the validation split.

Determines whether the specified object is equal to the current object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Returns an enumerator that iterates through the collection.

Serves as the default hash function.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Returns a string that represents the current object.

Applies the transformation to an input, producing an associated output.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Checks whether an object implements a method with the given name.

Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.

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