Whether to tune H2O AutoML Learner node hyperparameters?

Hi KNIME Support.

Does this mean that all models in the H2O AutoML Learner node are automatically trained by tuning the hyperparameters when you run the node?

An answer would be appreciated.

@JaeHwanChoi this should be the case:

As part of the learning process, hyperparameters are automatically optimized by H2O using a random grid search.

The proposition of H2O.ai is that they distilled the experience of Kaggle Grandmasters into algorithms and code.


If its random search there is still the chance of improvement but whether you want to dig down this whole certainly depends on your use case.
Beside this tuning hyperparameters is not necessarily the only way to get better results

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