Model capacity is the ability of a model to learn and represent patterns or functions from data. Higher-capacity models can capture more complex relationships but may require more data and stronger controls to avoid overfitting.
The complexity of problems that a model can learn. The more complex the problems that a model can learn, the higher the model's capacity. A model's capacity typically increases with the number of model parameters. For a formal definition of classification model capacity, see VC dimension.