Parameterzahl
Parameterzahl refers to the number of parameters in a statistical model or a machine learning model. Parameters are the internal variables or coefficients that a model learns from data during the training process. The parameterzahl is a crucial characteristic that influences a model's complexity, its ability to generalize to new data, and its computational requirements.
A higher parameterzahl generally indicates a more complex model. Such models have a greater capacity to capture
Conversely, a model with a low parameterzahl is considered simpler. Simpler models are less likely to overfit
The choice of a model's parameterzahl is often a trade-off between model complexity and generalization ability.