Evaluation is the correct answer
Explanation:-
Evaluation is the process of understanding the reliability of any AI model, based on outputs by feeding the test dataset into the model and comparing it with actual answers. There can be different Evaluation techniques, depending on the type and purpose of the model. Remember that It’s not recommended to use the data we used to build the model to evaluate it. This is because our model will remember the whole training set and consistently predict the correct label for any point in the training set. This is known as overfitting.
Study more about Evaluation at Evaluation Class 10