Which of the following steps are part of the model development process? Select all that apply.
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Correct answer: The model learns patterns in the training dataset and makes successful predictions over time, Designers collect relevant data with which to train the model, The data is prepared for training.
Why this is the answer
Model development depends on relevant data because the system needs examples from which patterns can be identified. The data must be prepared so it is usable for training and does not introduce avoidable errors. During training, a machine learning model adjusts its behavior based on patterns found in the training data. This process supports prediction or output generation, but the final model still requires review before classroom use.
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