Glossary

Hyperparameter Tuning refers to the method of seeking the ideal parameters for a machine learning algorithm, enhancing model accuracy and predictive capability.

Hyperparameters are pre-set configuration settings in machine learning that guide the training process, enhancing the model’s learning efficiency and precision.

This snippet defines the IEEE Computational Intelligence Society – an organisational hub within IEEE, committed to the advancement of computational intelligence paradigms, inspired by biology and linguistics.