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:
num1 = int(input("Enter value: "))
num2 = int(input("Enter value: "))
if num1 == num2:
print("Equals.")
else:
print("Unequal.")
Explanation:
Answer:
A network backbone connects multiple networks together, allowing them to communicate with each other.
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