Hyperparameters

{
  "id": "MLC-T-OAG-001930",
  "term": "Hyperparameters",
  "field": "Oil and gas",
  "definition": "Configuration variables that are external to a machine learning model and whose values cannot be estimated from data, but rather are set by the user before training begins. These parameters control the learning process itself, influencing how the model learns and its overall performance. Examples include the learning rate, the number of hidden layers in a neural network, or the regularization strength.",
  "subject": "Digital",
  "url": "https://mlchart.com/terminology/oil-and-gas/hyperparameters/"
}