Machine Learning, Bayesian Optimization, Comet, Hyperparameter Tuning.
evaluate. Final Step 4. Fitting the model #Fit the model optimizer.fit(X_train, y_train) # After fitting, you can get the best parameters and score as follows: best_params = opt.best_params_ best_score = opt.best_score_ print(f"Best parameters: {best_params}") print(f"Best accuracy score: