Training data is used to evaluate the performance of an AI model.
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Reason — Training data is the initial dataset used to train an AI model. Testing data is used to evaluate the performance of the AI model.
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AI is a subset of machine learning and deep learning.
A problem statement template helps in clearly defining the problem to be solved.
Data Exploration is performed before Data Acquisition in the AI project cycle.
Testing data is used to evaluate the performance of the AI model.