, after hyperparameter optimization, the best learning module is selected for prediction, and its predicted value is compared with the actual value of the error rate
After super parameter optimization, the best learning module is selected for prediction, and the error rate between the predicted value and the actual value is compared
After super-parameter optimization, the best learning module is selected for prediction, and the error rate of the predicted value is compared with the actual value.