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Results tagged with hyperparameter
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user 27916
Hyperparameters of a model are the kind of parameters that cannot be directly learned during training but are set beforehand. Hyperparameters can define, for example, the complexity of the model or its capacity to learn.
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Which is better: Out of Bag (OOB) or Cross-Validation (CV) error estimates?
Random Forest has an another way of tuning hyperparameter via OOB by design. OOB and CV are not the same as OOB error is calculated based on a portion of trees in Forest rather by full Forest. …
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