Advantages and Disadvantages of Random Search Method
Understand the strengths and weaknesses of the random search method for hyperparameter optimization. Learn how its simplicity, flexibility, and low computational needs make it useful, while its limited reproducibility and incomplete coverage may affect model performance depending on the dataset and algorithm.
We'll cover the following...
We'll cover the following...
Advantages of the random search method
- Simplicity: The random search method is a simple and straightforward method for hyperparameter optimization, as it does not require any knowledge about the structure of the optimization landscape or the relationships between different hyperparameters.
Less computational power: The random search method does not require ...