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
Answer:
The output is "Pasta"
Explanation:
Given
The attached code segment
Required
The output
The first line of the program implies that:
MyFavFood="Pasta"
This means that, the value of the variable MyFavFood is string "Pasta"
Next,
print (MyFavFood)
This prints the value of the variable MyFavFood which is "Pasta"
<em>Hence, the output is "Pasta"</em>
A time bomb virus is a virus that is triggered on a certain date. It is a malicious program that is designed to release virus unto a system. Once the time has arrived, it will automatically start working what it is programmed to do since any virus could do anything depending on what it is designed to do.
Answer:
I think the answer would be 60x something but I'm not for sure
