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
They modify is bcuz every race car is different and the driver is going to want something different then everyone else.
Answer:
The answer to this question can be given as:
Method:
public static void showTwos(int number) //method definition.
{
method body.
System.out.print(number + " = "); //print number
while (number % 2 == 0) //condition
{
System.out.print("2 * "); //print message.
number = number / 2;
}
System.out.println(number); //print value.
}
Explanation:
In the above method definition firstly, we declare the method showTwos() that name is already given in the question then we pass a variable number as a parameter in the method. In this first, we take input number from the user and pass into this method. In this method we use a while loop it is an entry control loop in this loop first we modules the number if it is equal to 0.Then we divide the number by 2 and in the last, we print the value.
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I coded that with HTML.