Answer:
it's business
Explanation:
business you started with small and work for it grow up.
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:
learning tool. i may be wrong
Explanation:
Answer:
The code will give an error that is "At least one public class is required in main file".
Explanation:
In the given code if we do not use the public access modifier to the class. It will give an error so, the correct code to this question as follows:
Program:
import java.util.HashSet; //import package
public class A //define class as public.
{
public static void main(String[ ] args) //define main method.
{
HashSet set = new HashSet(); //creating hashset object.
set.add("A"); //add alphabet in hashset
set.add("B"); //add alphabet in hashset
set.add("C"); //add alphabet in hashset
System.out.print("Size of HashSet is :"set.size()); //print the size of hashset.
}
}
Output:
Size of HashSet is : 3
Explanation of the program:
- In the above program, we define a public class that is "A" and inside the class, we define the main method.
- Inside the main method, we create a HashSet class object that is "set".
- To add elements in HashSet we use add() function that adds elements and in the last, we use the size() function that prints the size HashSet.
True or they could get into your stuff.
