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Given a scenario where AutoML has been used to train a model on a dataset, explain how to locate the source code for the best model produced by AutoML. Provide a step-by-step process and justify each step.
A
Check the AutoML output logs to find the model with the highest evaluation metric score and manually write the source code for that model.
B
Use the AutoML API to retrieve the model with the highest evaluation metric score and obtain the source code for that model.
C
Locate the AutoML experiment folder and search for the model with the highest evaluation metric score. The source code for that model will be stored in a file named 'best_model.py'.
D
There is no need to locate the source code for the best model produced by AutoML, as the model can be directly used for predictions without accessing the source code.
