In Model based learning methods, an iterative process takes place on the ML models that are built based on various model parameters, called ?
A)mini-batches
B)optimizedparameters
C)hyperparameters
D)superparameters

Question

Quizplus · Accepted Answer

Hyperparameters are the model parameters that are set before the learning process begins and are used to control the learning process or the structure of the machine learning model itself. They are not learned from the data but are set prior to the training process and can significantly affect the performance of the model. Examples include learning rate, number of hidden layers, and batch size in neural networks.

In Model Based Learning Methods, an Iterative Process Takes Place