Question 6 Which of the following statements about datasets used in Machine Learning is NOT true? 1 point Testing data is data the model has never seen before and is used to evaluate how good the model is Training subset is the data used to train the algorithm Validation data subset is used to validate results and fine-tune the algorithm's parameters Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is

Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is

Explanation:

The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."

This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.

Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.

And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters

yes, but you must first make sure that you'll be able to make your turn or you can crash into other vehicles.