Hyperparameter Optimization Techniques to Improve Your ...
· After performing hyperparameter optimization, the loss is This means that the model's performance has an accuracy of % by using n_estimators = 300, max_depth = 9, and criterion = "entropy" in the Random Forest classifier. Our result is not much different from Hyperopt in the first part (accuracy of % ).