How Does Random Search Work
Explore the random search method for hyperparameter optimization. This lesson guides you through defining hyperparameters, generating random combinations, training and evaluating models, and selecting the best parameters to enhance model accuracy or regression performance.
We'll cover the following...
We'll cover the following...
- Introduction
- 1. Define the hyperparameters for the ML model
- 2. Set the number of iterations for the random search
- 3. Create random combinations of hyperparameter values
- 4. Train the ML model using the randomly selected hyperparameters
- 5. Evaluate and record the performance of the ML model
- 6. Select the best-performing combination of hyperparameters
- 7. Retrain the model using the selected hyperparameters
Introduction
The following list outlines the optimization steps and procedures that the random search method must follow to find the combination of hyperparameter values that produce the best ML model performance:
Define the hyperparameters for the ML model.
Set the number of iterations for the random search.
Create random combinations of hyperparameter values.
Train the ML model using the randomly selected hyperparameters.
Evaluate ...