Answer:
Answered below
Explanation:
A key is a single or combination of many attributes that enable us pull a row of data from a table. Keys are identifiers used to get data seamlessly from the database. A key can be a primary key, secondary key, control key, or super key. A super key is a key or set of attributes use to identify tuples in a database. It can contain extra attributes not necessary for uniquely identifying a database.
Wat? Well, huh I don't understand the question
Answer:
I believe that the only way to really make an informed decision as to which test is a better fit for you is to take a full-length diagnostic exam for both the ACT and the SAT before doing any prep. I also would look at the pros and cons for each test.
I personally took the ACT because there is <em>NO PENALTY </em>for guessing on the test. An educated guess won't hurt your score on the ACT.
Answer:
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
