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BootstrapResultTModel, TInput, TOutput Properties |
The BootstrapResultTModel, TInput, TOutput generic type exposes the following members.
Name | Description | |
---|---|---|
![]() | AverageNumberOfSamples |
Gets the average number of data samples in
each cross-validation fold of the data set.
(Inherited from CrossValidationResultTModel, TInput, TOutput.) |
![]() | CombineMethod |
Gets or sets the method used to combine the scores of different classifiers.
(Inherited from CrossValidationResultTModel, TInput, TOutput.) |
![]() | Estimate |
Gets the 0.632 bootstrap estimate.
|
![]() | Models |
Gets the models created for each fold of the cross validation.
(Inherited from CrossValidationResultTModel, TInput, TOutput.) |
![]() | NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from CrossValidationResultTModel, TInput, TOutput.) |
![]() | NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from CrossValidationResultTModel, TInput, TOutput.) |
![]() | NumberOfSamples |
Gets the total number of data samples in the entire data set.
(Inherited from CrossValidationResultTModel, TInput, TOutput.) |
![]() | NumberOfSubsamples |
Gets the number of subsamples taken to compute the bootstrap estimate.
|
![]() | Tag |
Gets or sets a tag for user-defined information.
(Inherited from CrossValidationResultTModel, TInput, TOutput.) |
![]() | Training |
Gets or sets the training split.
(Inherited from TrainValSplitT.) |
![]() | Validation |
Gets or sets the validation split.
(Inherited from TrainValSplitT.) |