F

The F-score, also called the F1-score, is a measure of a model’s accuracy on a dataset.

Fine-tuning is an approach to transfer learning in which the weights of a pre-trained model are trained on a new, smaller and high-quality dataset.

The process of selecting, modifying, and creating relevant features (variables) in a dataset to improve the performance of machine learning models.

Models that are trained on broad data at scale and are adaptable to a wide range of downstream tasks.

In psychology, the term is defined as a social concept that refers to equal group outcomes, equitable treatment, comparable access, or lack of bias.