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:
x = int(input ("enter first number: "))
y = int(input ("enter second number: "))
z = int(input ("enter third number: "))
print('%6d %6d %6d' %(x,y,z))
Explanation:
Using python programming language we receive three integers variables (x,y,z) then using string formatting (%6) which specifies that the output should be right justified with a width of 6, the values are printed out.
Yea, I don’t think you can fix it unless you backed it up or something somehow...
Sorry I don't understand your question
well i dont know but i would go with b :D