Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as learning rate, batch size, and regularisation strength. Selecting appropriate Hyperparameters is crucial for optimising model performance and improving accuracy.
Decision Trees are Machine Learning models that use a branching structure to make decisions or predictions. By determining the most important features and creating…