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:
what
Explanation:
uhh this isnt complete or something i dont know what this is im gonna answer it for the points
Answer:
Explanation:
Go and ask a teacher or search
Answer:
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Explanation:
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The informal answer to your question is "clipboard". However, there isn't such a thing as the "clipboard". The people who came up with the idea of the clipboard use that nomenclature to describe the location in memory where that copied data resides. So the formal answer to your question is memory or RAM.